Ivan Pavkov

CHALLENGES OF DIGITALIZATION IN THE GREEN ECONOMY Proceedings Book from Third International Scientific Conference “Challenges of Digitalization in the Green Economy” Belgrade, October 30th, 2025

AHP-based statistical evaluation of digitalization challenges in the green economy

Dimić Violeta, Milošević Mimica, Milošević Dušan

https://enauka.gov.rs/handle/123456789/1026606
https://alfa.edu.rs/treci-medjunarodna-naucna-konferencija-izazovi-digitalizacije-u-zelenoj-ekonomiji-na-alfa-bk-univerzitetu/#

The adoption of digital technologies that improve productivity, sustainability and resource management is essential for the transition to a green economy. However, the digitisation process also brings with it complicated technological, economic, social and environmental issues that need to be prioritised methodically. To statistically evaluate and rank 25 indicators categorised according to five basic criteria – technological, economic, environmental, socio-institutional, and implementation risk indicators – this study employs the Analytic Hierarchy Process (AHP). The results show that technological indicators have the highest relative weight, highlighting the role that automation, artificial intelligence and digital infrastructure play in promoting green transitions. The environmental impacts underscore the necessity of energy-saving and emissions-free technologies, while the economic aspects are less important, since they are at the stage of showing the influence of investment costs and returns on digital growth. The outcomes authenticate the statistical reliability of the AHP matrix and offer a quantitative tool for decision-makers to outline the key areas in the digital-green transformation that require their attention. Overall, the study provides a structured approach to decision support for balancing technological innovation and sustainability goals.

Green economy, Analytic Hierarchy Process (AHP), technological innovation, digital infrastructure, statistical evaluation

M33

Economic and Social Development in Bipolar and Multipolar Environment. Urednici: Živanka Miladinović Bogavac, Nedjo Danilović, Miloš Stanković, Sandra Raquel Alves. Izdavač: Varaždin Development and Entrepreneurship Agency & MB University, Serbia

Managing natural resources and human capital for economic development: influential indicators

Nikolić Miloš, Milošević Mimica, Milošević Dušan

https://enauka.gov.rs/handle/123456789/1005134

Each state's ability to develop economically sustainably depends on its natural and human potential, which typically serves as the foundation for regional and state development. A topic gaining more attention is effectively promoting socially, ecologically, and economically sustainable development. Balanced economic development is the fundamental tenet of economic and socioeconomic development. Because decisions impact corporate success, making decisions is a big duty in the business sector. To develop a suitable strategy for evaluating and establishing priority goals, new approaches to decision-making must be adopted. Numerous techniques for making decisions based on multiple factors have been created, such as the Analytic Hierarchy Process (AHP), which undoubtedly requires more focus. Using a multi-criteria decision-making framework, the article selects influential aspects of managing natural and human resources for sustainable economic growth in Serbia. AHP, interval AHP (IAHP), and fuzzy AHP (FAHP) are the three suitable techniques used. These techniques allow for analyzing findings from many facets of expert opinion. This research examines the AHP approach from multiple angles through a case study, where experts with varying profiles' perceptions are used to identify decision criteria. The results of this study can serve as guidelines for resource management decision-makers to improve regional and economic growth. The four groups (a framework for strengthening participation in development, human social resources, economic resources, and natural resources) are used in the study to explain the elements that affect the management of natural and human resources for economic and regional development. Managers must select the most acceptable of the six scenarios the suggested model presents. A suggestion like this gives the decision-maker enough leeway.

Analytic Hierarchy Process (AHP), Development, Economy, Fuzzy AHP, Interval AHP, Managing, Resources

M14

Investigation of Environmental Pollution by Traffic-Generated Noise in Large Urban Areas – Thematic Proceeding Belgrade: University "Union - Nikola Tesla", Faculty of Information Technology and Engineering

Indicators of traffic noise pollution in urban areas and hierarchical assessment

Stević Dragan, Milošević Mimica, Milošević Dušan

https://enauka.gov.rs/handle/123456789/998850
https://plus.cobiss.net/cobiss/sr/sr/bib/176730633#izum.s

According to the World Health Organization (WHO) data, noise is considered after air pollution as the second negative factor of the environment according to the influence it has on people’s health. Although it advances civilization, intensive industrial and technical growth harms people’s living and working conditions. Along with improvements to the air, land, and water, the growth of industry and transportation leads to an increase in noise levels in the community, which can endanger people’s mental health and, eventually, their quality of life and productivity. According to the results of strategic noise mapping conducted on EU territory, road traffic is undoubtedly the primary noise source in urban areas. Any sound that is unpleasant, disturbing, etc., we perceive as noise. Sound phenomena become noise when, according to subjective statements, they disturb a person during work and rest. The expanded definition of noise includes harmful sound because it causes reactions similar to those caused by other stressors in the work and environment, which indicates the complexity of the problem of noise management. The problem of municipal noise in the environment is enormous in the world and our country. The noise problem continues its upward trend, along with increased complaints from exposed residents. Population growth, urbanization, constant technological development, and the construction of roads, international airports, and railways contribute to the complexity of this problem. The paper aims to analyze traffic noise and noise protection measures in the urban environment, considering metropolitan areas. It considers that 75%–80% of ambient noise originates from means of transport: cars, trucks, planes, trains, trams, etc. Various models for estimating road noise levels have been developed in the literature on traffic. These models can determine the population’s risk of traffic fire noise and establish suitable mitigation strategies to shield the environment from elevated sound levels. This paper presents various indicators and characteristics of traffic noise, and an appropriate analysis is given. Due to the high percentage of population exposure to noise, after analyzing the indicators, an adequate proposal of measures for reducing or eliminating the harmful effects of noise on human health and the environment in general, and then their implementation in an adequate manner, was given. As an MCDM (multi-criteria decision-making) technique for determining criteria and reaching conclusions, research suggests the AHP (Analytical Hierarchy Process) method for evaluating indirect noise exposure. The chosen criteria have a hierarchical structure in the form of a well-known decision tree.

noise, traffic noise, urban areas, protection measures, hierarchical structure, MCDM

M45

Proceeding book of 7th international conference on applied engineering and natural sciences icaens 2025 (15-16 May 2025, Konya, Turkey); Publication date: 25.05.2025; Publisher: All Sciences Academy

New Possibilities and Paradigms of Applying Artificial Intelligence in Electronic Business

Denić Nebojša, Milošević Mimica, Kamiš Alen, Mihajlović Saša, Milić Stefan

https://www.icaens.org/7thicaens2025
https://enauka.gov.rs/handle/123456789/983861

In this studious research paper, based on a review of recent relevant literature and conducted research in practice, the theoretical background of artificial intelligence, the steps of its introduction, its tools, and the possibilities of application in electronic business will be presented. In this context, new possibilities and paradigms of the impact of artificial intelligence on electronic business will be explored. The theoretical part presents the key concepts of artificial intelligence, the types of artificial intelligence used in the business environment, as well as the advantages and challenges of introducing artificial intelligence in business. In this sense, the results of this research work have practical significance for companies and organizations that, with the aim of improving their business, are considering the possibility of implementing artificial intelligence in their business organization. The research part presents the results and answers to the research questions based on the answers obtained from the survey. In the paper, some of the characteristic examples of the application of artificial intelligence in companies have been evolved, in addition, the possible directions of further development and the character of artificial intelligence in the future will be additionally explained. The final part of the research summarizes the findings based on the connection of theoretical considerations and evaluation between the research questions and the results.

Artificial intelligence, electronic business, business optimization

M33

Book of Proceedings / International conference on advances in science and technology, Herceg Novi, 04 June - 07 June, 2025: Fakultet za menadžment, 2025 (Herceg Novi). - 723 str.; [editorial board Djordje Jovanović, Irena Petrusić, Jovana Jovanović, Ivan Stevović].

The spherical FAHP method for developing successful e-commerce platform

Milošević Mimica, Milošević Dušan, Nikolić Miloš

https://enauka.gov.rs/handle/123456789/1005135
https://confcoast.com/img-publications/56/zbornik%20radova%202025%20coast.pdf

All facets of contemporary human life have changed due to recent occurrences. Electronic commerce, or e-commerce, has grown due to everyday activities like buying and moving from old ways to various online variations. Customers rely on reliable services, frequently maintained across the web and mobile platforms on which they are provided, as more and more services become accessible online. Due to the pandemic's consequences, most businesses and shops, regardless of size, are searching for methods to interact with their customers via electronic channels. This study uses the Spherical Fuzzy Analytical Hierarchy Process (SFAHP) to rank effective e-commerce platform design indicators. Several indicators and sub-indicators were chosen for prioritization following a thorough review of the literature and an examination of expert viewpoints. Finally, we will discuss the results and recommend what to consider when designing an e-commerce platform. According to our findings, the most crucial factors are safe payment, account security, and loyalty and trust, while the least crucial factors are multilingual support and frequently asked questions.

B2C e-commerce, Analytical Hierarchy Process (AHP), Spherical Fuzzy AHP

M33

Intelligent and Fuzzy Systems. INFUS 2025. Lecture Notes in Networks and Systems, Springer, Cham

Spherical FAHP Approach for Regeneration of Abandoned Areas: Selection of Remediation Techniques

Milošević Dušan, Milošević Mimica, Stanojević Ana

https://enauka.gov.rs/handle/123456789/998846

Urban ecological sustainability and transforming people’s surroundings depend on environmental preservation and protection. The problem of abandoned and underutilized previously constructed places and the potential for their sustainable regeneration are more pressing issues in modern engineering practice. Cleaning up the soil is essential to generating reuse prospects. Several soil remediation techniques, which can be divided into chemical, physical, and biological approaches, have been possible due to technological advancements. Decision-makers should consider the environmental impact of the applied methodology, its cost, its complexity, its level of pollution removal efficiency, and the amount of time required for soil decontamination when selecting the best strategy for soil remediation. The paper deals with applying multi-criteria analysis in selecting the technique for soil remediation by applying the multi-criteria Spherical Fuzzy Analytic Hierarchy Process (SFAHP) approach to rank 18 types of biological, physical, and chemical remediation techniques concerning various influencing factors (impact on the environment, cost, complexity, degree of effectiveness, and time). Membership, non-membership, and hesitancy functions can be numbers, intervals, and fuzzy numbers. The results aim to identify the optimal soil remediation method in the context of ecological sustainability.

Spherical FAHP, Interval Spherical FAHP, Fuzzy Spherical FAHP, Soil remediation, Abandoned areas

M14

GODIŠNJAK Fakulteta za informacione tehnologije i inženjerstvo 2025. Godina 3, Izdavač: Fakultet za informacione tehnologije i inženjerstvo Univerzitet „Union – Nikola Tesla“, Beograd

Application of Fuzzy C - Means algorithm in natural environment extraction

Stević Dragan, Milošević Mimica, Milošević Dušan

https://www.fiti.edu.rs/sr/conferences-journals/godisnjaci

This research focuses on the application of the Fuzzy C-Means (FCM) unsupervised classification method in identifying and extracting ecological environments in the Mount Kosmaj area. The FCM method, based on the principles of fuzzy logic, enables the determination of soft, i.e., imprecise boundaries between classes, which is a significant advantage over traditional classification methods that require strictly defined class boundaries. As an unsupervised classification method, FCM enables the generation of representative data and provides a wide range of application possibilities for the analysis and interpretation of complex ecological environments. Since many plant and animal species are directly adapted to the unique conditions of their habitat, the environment is essential to maintaining the ecosystem in an environmental context. Environmental changes brought about by urbanization, climate change, or other human-caused factors can have a significant impact on ecosystem health and biodiversity. In this sense, the precise identification and classification of environments becomes a key tool for the sustainable management of natural resources. Landsat 7 satellite data (channels 3, 2, 1 from the visible and channel 4 from the near-infrared part of the electromagnetic spectrum, 400–1000 nm), with a resolution of 30×30 m, recorded during the summer period, were used in this work. Digital processing was performed in the ER Mapper 7.1 software package. The nominal area covered by the video is 185 × 185 km, while the area of Kosmaj itself covers 3,514.50 hectares, at an average altitude of 628 m. A special segment of the analysis is dedicated to Lake Markovac, an artificial reservoir of 30 hectares, surrounded by rich vegetation and habitats for various bird species. Multispectral analysis performed using the FCM method involved creating class prototypes, determining pixel affiliation, calculating class centers, and iteratively improving the classification. Additional improvements were achieved using vegetation indices (VI), normalized vegetation index (NDVI), and transformed normalized vegetation index (TNDVI). With potential applications in ecology, sustainable development, spatial planning, and enhancing geographical bases, the results collected provide a foundation for building a database within geo-information systems (GIS). This study demonstrates that, in light of current ecological issues, the FCM technique is a useful instrument for environmental analysis and planning.

Fuzzy C Means classification, ecological environment classification, Landsat channels, spectral analysis, digital terrain model, topographic maps

M54

Zbornik apstrakata - Osma naučno-stručna konferencija sa međunarodnim učešćem "Stanje i zaštita životne sredine – multidisciplinarni pristup", Beograd, 2025. Beograd: Univerzitet "Union - Nikola Tesla", Fakultet za informacione tehnologije i inženjerstvo; Univerzitet "Union - Nikola Tesla", Fakultet za poslovne studije i pravo

Primena algoritma Fuzzy C Means u ekstrakciji prirodne sredine

Stević Dragan, Milošević Mimica, Milošević Dušan

https://enauka.gov.rs/handle/123456789/974974
https://plus.cobiss.net/cobiss/sr/sr/bib/165765897#izum.si
https://plus.cobiss.net/cobiss/sr/sr/bib/169313289#izum.si

Osnova za efikasno segmentiranje prirodnog okruženja kao promena na zemljinoj površini je automatska obrada prostornih podataka i sticanje pouzdanih (prostornih i vremenskih) informacija koje su omogućile novije naučne discipline, metodologije i tehnike daljinske detekcije. Landsat satelitska kategorizacija i interpretacija su deo procesa istraživanja. Istraživanje je pokazalo metodologiju digitalne obrade multispektralnih satelitskih snimaka (MSS) Lansad 7, gde je klasifikacija prirodnih sredina izvršena korišćenjem Fuzzi C Means (FCM) algoritma, nenadgledanog procesa klasifikacije. Prirodne sredine su pokrivene površine (pašnjaci, voćnjaci, vinogradi, četinarske šume, reke, vode, močvare, naselja i putevi) i drugo. U realizaciji istraživanja korišćeni su spektralni kanali: 2-zeleni (G), 3-crveni (R), 4-bliski infracrveni (IR) Landsat 7 slika, spektralni opseg (520 - 900)nm, i rezolucija piksela 30m×30m. Takođe, za analizu rezultata klasifikacije prirodnih sredina sa satelitskih snimaka korišćeni su podaci sa topografskih karata razmere 1:50.000 (TK50). Obrada spektralnih kanala (2,3,4) zahteva digitalno snimanje svakog kanala, odnosno njihovo prevođenje u digitalni oblik. Klasifikacija prirodnih sredina zavisi od kvaliteta formirane rasterske slike kanala (2,3,4) Landsat 7 slike. Ovako urađen snimak u istraživačke svrhe obuhvata prostor od 40×40 km, širi jugoistočni dio Crne Gore. FCM algoritam klasifikuje rastersko okruženje prirodnog okruženja koristeći statističko grupisanje piksela, formirajući optimalan broj izlaznih klasa prirodnog okruženja kako bi se osigurala identifikacija prirodnog okruženja. Ovo istraživanje pokazuje da digitalna obrada slike Landsat 7 ima posebnu primenu u ekologiji i drugim naučnim disciplinama formiranjem prostorne baze podataka koja se široko koristi u globalnom planiranju.

FCM algoritam, prirodno okruženje, spektralni kanali, multispektralna analiza, Landsat 7 slika, topografske karte

M34

Proceedings of International Scientific and Professional Conference “ALFATECH” Smart Cities and modern technologies

Smart City Challenges: Prioritization Methods

Aybeyan Selim, Milošević Mimica, Milošević Dušan

—

Substantial shifts in our way of life prompt us to consider creating smarter, more sustainable cities. The construction of smart cities has become increasingly popular in both systematic studies and international policies. The research seeks to identify the main barriers to smart cities by reviewing the existing literature and consulting with subject-matter experts. In order to identify the most significant obstacle category and rank certain challenges within the categories to the development of smart cities in Serbia and the surrounding area, this investigation also attempted to prioritize the barriers. The foundation for all planned actions in the administration of the urban environment, including its sectors and infrastructure, is the Fourth Industrial Revolution and digitization. Multi-criteria decision-making (MCDM) has used the following fuzzy logic techniques to identify key indicators that are pertinent preconditions for the creation of a smart city: triangular and trapezoidal fuzzy analytic hierarchy process (FAHP) and triangular and trapezoidal interval type-2 fuzzy sets (IT2FS). The creation of a legislative and strategic framework for the Smart City platform, its implementation in the post-COVID-19 era, and the standardization of ICT and ICT management have been identified as the prominent indicators based on six groups of criteria and a significant number of sub-criteria.

Smart city, FAHP, IT2FS, MCDM, algorithm ranking

M33

INTERNATIONAL conference on advances in science and technology (IV; 2025; Herceg Novi) Book of Abstracts / International conference on advances in science and technology, Herceg Novi, 04 June - 07 June, 2025: Fakultet za menadžment, 2025 (Herceg Novi). - 137 str.; [editorial board Djordje Jovanović, Irena Petrusić, Jovana Jovanović, Ivan Stevović].

The spherical fuzzy AHP method for developing successful e-commerce platform designs

Mimica Milošević, Dušan Milošević, Miloš Nikolić

https://enauka.gov.rs/handle/123456789/983860

All facets of contemporary human life have changed due to recent occurrences. Electronic commerce, or e-commerce, has grown due to everyday activities like buying and moving from old ways to various online variations. Customers rely on reliable services, frequently maintained across the web and mobile platforms on which they are provided, as more and more services become accessible online. Due to the pandemic's consequences, most businesses and shops, regardless of size, are searching for methods to interact with their customers via electronic channels. This study uses the Spherical Fuzzy Analytical Hierarchy Process (SFAHP) to rank effective e-commerce platform design indicators. Several indicators and sub-indicators were chosen for prioritization following a thorough review of the literature and an examination of expert viewpoints. Finally, we will discuss the results and recommend what to consider when designing an e-commerce platform. According to our findings, the most crucial factors are safe payment, account security, and loyalty and trust, while the least crucial factors are multilingual support and frequently asked questions.

B2C e-commerce, Analytical Hierarchy Process (AHP), Spherical Fuzzy AHP

M34

Knjiga apstrakata XV SIMPOZIJUM „MATEMATIKA I PRIMENE”, 12–13. decembar 2025, Beograd, Srbija, Matematički fakultet, Univerzitet u Beogradu

Primena AHP metode za evaluaciju i rangiranje inovacija u visokoškolskoj nastavi matematike i informatike

Mimica Milošević, Sonja Đukić Popović, Dušan Milošević, Stefan Popović

https://enauka.gov.rs/handle/123456789/1017437

Inovacije u nastavi matematike i informatike su značajne u procesu modernizacije visokog obrazovanja i prilagođavanja potrebama digitalnog doba. Iako postoje razlike u sadržaju i metodologiji, obe discipline imaju za cilj podsticanje razvoja analitičkog razmišljanja, pristupa rešavanju problema i sposobnosti primene znanja u realnim situacijama. U obrazovnim trendovima upotreba digitalne tehnologije, tehnika aktivnog učenja i sistema procene koji podržavaju personalizovano i interaktivno učenje postaju sve značajnije. Studenti su motivisaniji i bolje razumeju složene koncepte kada se koriste inovativne tehnike poput gejmifikacije, onlajn i hibridnih modela, učenja zasnovanog na projektima, veštačke inteligencije i analitike učenja. Matematika koristi kreativnost za stvaranje praktičnih primena i vizuelizaciju apstraktnih koncepata, dok računarstvo koristi iste koncepte za unapređenje tehničkih i programerskih veština studenata. Da bi se odredili prioriteti u razvoju modela nastave, tehnologije i pedagoških pristupa, u ovoj studiji se koristi AHP tehnika za analizu i rangiranje glavnih indikatora inovacija u nastavi obe discipline. Prikupljeni rezultati omogućavaju temeljno razumevanje elemenata koji najviše utiču na efikasnost i kvalitet obrazovnog procesa u digitalnoj sferi.

inovacije u nastavi, digitalne tehnologije, aktivno učenje, AHP metoda

M34

Godišnjak Fakulteta za informacione tehnologije i inženjerstvo, Univerzitet Union Nikola Tesla, Beograd

FUZZY C-MEANS KLASIFIKACIJA EKOLOŠKIH AMBIJENATA NA MULTISPEKTRALNIM SNIMCIMA

Stević Dragan, Milošević Mimica, Milošević Dušan

https://www.fiti.edu.rs/sr/conferences-journals/godisnjaci

Ovo istraživanje fokusira se na primenu metode nenadzirane klasifikacije Fuzzy C-Means (FCM) u procesu identifikacije i izdvajanja ekoloških ambijenata na području planine Kosmaj. FCM metoda, zasnovana na principima fazi logike, omogućava određivanje mekih, tj. nepreciznih granica između klasa, što predstavlja značajnu prednost u odnosu na tradicionalne metode klasifikacije koje zahtevaju strogo definisane klasne granice. Kao metoda nenadzorovane klasifikacije, FCM omogućava generisanje reprezentativnih podataka i pruža širok spektar mogućnosti u primeni za analizu i interpretaciju složenih ekoloških ambijenata. U ekološkom kontekstu, ambijent igra ključnu ulogu u očuvanju ekosistema, jer su različite biljne i životinjske vrste direktno prilagođene specifičnim uslovima staništa. Promene u ambijentu, izazvane klimatskim faktorima, urbanizacijom ili drugim antropogenim uticajima, mogu značajno uticati na biodiverzitet i ukupno zdravlje ekosistema. U tom smislu, precizna identifikacija i klasifikacija ambijenata postaje ključni alat za održivo upravljanje prirodnim resursima. U okviru ovog rada korišćeni su satelitski podaci Landsat 7 (kanali 3, 2, 1 iz vidljivog i kanal 4 iz bliskog infracrvenog dela elektromagnetnog spektra, 400–1000 nm), sa rezolucijom od 30×30 m, snimljeni tokom letnjeg perioda. Digitalna obrada izvršena je u softverskom paketu ER Mapper 7.1. Nominalna površina koju pokriva snimak iznosi 185×185 km, dok samo područje Kosmaja obuhvata 3.514,50 ha, na prosečnoj nadmorskoj visini od 628 m. Poseban segment analize posvećen je Markovačkom jezeru – veštačkoj akumulaciji površine 30 ha, okruženoj bogatom vegetacijom i staništima za razne ptičje vrste. Multispektralna analiza izvršena FCM metodom uključila je kreiranje prototipa klasa, određivanje pripadnosti piksela, računanje centara klasa i iterativno unapređivanje klasifikacije. Dodatna poboljšanja postignuta su upotrebom vegetacijskih indeksa (VI), normalizovanog vegetacijskog indeksa (NDVI) i transformisanog normalizovanog vegetacijskog indeksa (TNDVI). Dobijeni rezultati pružaju osnovu za kreiranje baze podataka u okviru geo-informacionih sistema (GIS), sa potencijalnom primenom u ekologiji, održivom razvoju, prostornom planiranju i dopuni geo-topografskih podloga. Ovo istraživanje potvrđuje da FCM metod predstavlja efikasan alat za ekološku analizu i planiranje u uslovima savremenih ekoloških izazova.

Fuzzy C Means klasifikacija, klasifikacija ekoloških ambijenata, Landsat kanali, spektralna analiza, digitalni model terena, topografske karte

M53

AlfaTech, ALFA BK UNIVERSITY FACULTY OF INFORMATION AND COMMUNICATION TECHNOLOGY FACULTY OF MATHEMATICS AND COMPUTER SCIENCE

A Hybrid Fuzzy MCDM Approach for Identifying and Prioritizing Barriers to Smart City Development

Aybeyan Selim, Milošević Mimica, Milošević Dušan

https://enauka.gov.rs/handle/123456789/1026607

Significant changes in our lifestyles prompt us to consider building more intelligent and sustainable cities. In both systematic research and international policy, the development of smart cities has gained popularity. Through a review of the literature and consultation with subject-matter experts, the study aims to identify the primary obstacles to achieving smart cities. Additionally, this study aimed to prioritize the challenges to the development of smart cities in the Western Balkans by identifying the most significant obstacle category and ranking specific issues within each category. The Fourth Industrial Revolution and digitization serve as the cornerstones for all planned initiatives in urban environment management, encompassing its various sectors and infrastructure. Fuzzy logic techniques, such as the triangular and trapezoidal fuzzy analytic hierarchy process (FAHP) and triangular and trapezoidal interval type-2 fuzzy sets (IT2FS), have been employed in multi-criteria decision-making (MCDM) to identify important indicators relevant to the development of a smart city. Six categories of criteria and a large number of sub-criteria have been used to determine the key indicators, which include the development of a legislative and strategic framework for the Smart City platform, its implementation in the post-COVID-19 era, and the standardization of ICT and ICT management. The findings identify key obstacles and strategic priorities that can inform the shift to smarter and more sustainable urban environments, providing policymakers and urban planners with valuable insights.

Smart city, Fuzzy Analytic Hierarchy Process (FAHP), Interval Type-2 Fuzzy Sets (IT2FS), Multi-Criteria Decision Making (MCDM), algorithm ranking, descriptive statistics

M53

Sustainability, Basel : MDPI

Enhancing Efficiency in Sustainable IoT Enterprises: Modeling Indicators Using Pythagorean Fuzzy and Interval Grey Approaches

Milošević Mimica, Nikolić Miloš, Milošević Dušan, Dimić Violeta

https://enauka.gov.rs/handle/123456789/995282

“The Internet of Things” is a relatively new idea that refers to objects that can connect to the Internet and exchange data. The Internet of Things (IoT) enables novel interactions between objects and people by interconnecting billions of devices. While there are many IoT-related products, challenges pertaining to their effective implementation, particularly the lack of knowledge and confidence about security, must be addressed. To provide IoT-based enterprises with a platform for efficiency and sustainability, this study aims to identify the critical elements that influence the growth of a successful company integrated with an IoT system. This study proposes a decision support tool that evaluates the influential features of IoT using the Pythagorean Fuzzy and Interval Grey approaches within the Analytical Hierarchy Process (AHP). This study demonstrates that security, value, and connectivity are more critical than telepresence and intelligence indicators. When both strategies are used, market demand and information privacy become significant indicators. Applying the Pythagorean Fuzzy approach enables the identification of sensor networks, authorization, market demand, and data management in terms of importance. The application of the Interval Grey approach underscores the importance of data management, particularly in sensor networks. The indicators that were finally ranked are compared to obtain a good coefficient of agreement. These findings offer practical insights for promoting sustainability in enterprise operations by optimizing IoT infrastructure and decision-making processes.

Internet of Things; enterprises; sustainable development; multi-criteria decision-making; Pythagorean Fuzzy Analytical Hierarchy Process; Interval Grey Analytical Hierarchy Process

M22

Book of Proceedings of III International Conference on Advances in Science and Technology, Herceg Novi, Faculty of Management, Montenegro, 29th May -1st June, 2024

Fuzzy AHP assessment of Balkan wineries from a tourist attraction perspective

Milošević Mimica, Milošević Dušan, Stanojević Ana

https://enauka.gov.rs/handle/123456789/933280
https://confcoast.com/img-publications/54/Zbornik%20radova%202024%20ISBN.pdf

In many modern tourist destinations, wineries represent increasingly popular facilities attracting many visitors. Since the end of the 20th century, with the transformation from primarily production facilities to facilities that integrate the concepts of production and tourism, wineries have become significant strongholds of wine culture. The development of wineries in the Balkans experienced expansion at the beginning of the 21st century, along with the end of the transition process. In the last ten years, visiting wineries has become an indispensable activity of wine tourism. Many factors determine the attractiveness of a winery among potential visitors. This paper aims to evaluate selected wineries from the Balkans, built after 2000, based on defined indicators that influence the attractiveness of wineries by applying multi-criteria analysis. Ten modern wineries were selected for the research. The indicators were ranked by importance using the fuzzy AHP approach, followed by the selected wineries. The results indicate the most critical factors determining contemporary wineries' attractiveness. The results may impact the future processes of building wineries in the Balkan region.

multi-criteria decision-making, fuzzy AHP approach, contemporary wineries, tourism, Balkan region

M33

XVI međunarodni naučno-stručni skup Informacione tehnologije za e-obrazovanje IteO, Zbornik radova, Banja Luka : Panevropski univerzitet "APEIRON"

Modeliranje ključnih indikatora pametnih zgrada primenom PFAHP

Milošević Mimica, Milošević Dušan, Stanojević Ana, Stanković Željko

https://enauka.gov.rs/handle/123456789/954605

S obzirom da postoji potreba za razvojem integrisanog modela za određivanje mera po kojoj su zgrade pametne u ovom radu razvijen je model bodovanja za pametne zgrade. Indikatori su grupisani u šest dimenzija. U razvoju sistema bodovanja, proces donošenja odluka zahteva odgovarajući izbor optimalnog rešenja. Istraživanje se fokusira na Pitagorejski Fazi Analitički Hijerarhijski Proces (PFAHP) kao jednu od metoda višekriterijumskog odlučivanja.

Pitagorejski fazi analitički hijerarhijski proces, višekriterijumska analiza, pametne zgrade

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7th scientific-expert conference with international participation: „State and protection of the environment – a multidisciplinary approach“, Faculty of Information Technology and Engineering, Faculty of Business Studies and Law, University „Union-Nikola Tesla“, Belgrade

The unsupervised ISODATA algorithm used in the landsat images for the classification of forest vegetation.

Stević Dragan, Milošević Mimica, Milošević Dušan

https://enauka.gov.rs/handle/123456789/920339

Landsat 7 satellite imagery offers a cost-effective method for updating the spatial data of topographic and theme maps. Topographical and theme map content is replaced with satellite images. The paper used channels (4,3,2) of Landsat 7 images in pixel resolution (30m x30m), from the visible and near-infrared (IR) part of the EM spectrum (520-900 nm). The processing of multispectral Landsat 7 images requires the original digital recording of individual spectral channels (4-near IR, 3-red, 2-green) that are part of the EM spectrum, i.e., their translation into digital format. The quality of the raster image of the Landsat 7 image depends on the resolution of the spectral channels (4, 3, 2) of the Landsat 7 image, which participate in the formation of the image when extracting forest vegetation. The mentioned canals cover the area of the northern part of the Pester Plateau, in the southwestern part of Serbia, with an area of 40 km by 40 km. Processing and analysis of multispectral satellite Landsat 7 images are realized using the Isodata method and the TNT software package. Multispectral processing of the satellite Landsat 7 image was performed using the ISODATA method of unsupervised classification, which classifies raster environments (forest vegetation) based on statistical groupings of spectral features with little user intervention so as to form an optimal number of output classes of vegetation and provides identification and monitoring of forest vegetation in the function of environmental protection. Spectral improvement of classifications and sharpening of forest vegetation details were performed using the vegetation index (VI), the normalized vegetation index (NDVI), and the transformed normalized vegetation index (TNDVI). The georeferenced vector map of the area TK200 was used to help define the vector border of forest vegetation. The goal of the research is that the obtained data from this classification can be used for planning, arrangement, and monitoring of the forest vegetation region through the formation of a geospatial data base and has a large application in global planning.

ISODATA algorithm, forest vegetation, spectral channels, multispectral Landsat 7 images, multispectral analysis

M63

Zbornik radova - Sedma naučno-stručna konferencija sa međunarodnim učešćem Stanje i zaštita životne sredine – multidisciplinarni pristup

Nenadzirani algoritam ISODATA korišćen u Landsat slikama za klasifikaciju šumske vegetacije

Stević Dragan, Milošević Mimica, Milošević Dušan

https://enauka.gov.rs/handle/123456789/920339

Landsat 7 satelitski snimci nude isplativ metod za ažuriranje prostornih podataka topografskih i tematskih karata. Sadržaj topografske i tematske karte zamenjen je satelitskim snimcima. U radu su korišćeni kanali (4,3,2) Landsat 7 slika u rezoluciji piksela (30m × 30m), iz vidljivog i bliskog infracrvenog (IR) dela EM spektra (520-900 nm). Obrada multispektralnih Landsat 7 snimaka zahteva originalno digitalno snimanje pojedinačnih spektralnih kanala (4-bliski IR, 3-crveni, 2-zeleni) koji su deo EM spektra, odnosno njihovo prevođenje u digitalni format. Kvalitet rasterske slike Landsat 7 slike zavisi od rezolucije spektralnih kanala (4, 3, 2) Landsat 7 slike, koji učestvuju u formiranju slike pri ekstrakciji šumske vegetacije. Pomenuti kanali pokrivaju područje severnog dela Pešterske visoravni, u jugozapadnom delu Srbije, površine 40 km sa 40 km. Obrada i analiza multispektralnih satelitskih snimaka Landsat 7 realizovani su metodom Isodata i softverskim paketom TNT. Multispektralna obrada satelitskog Landsat 7 snimka obavljena je korišćenjem ISODATA metode nekontrolisane klasifikacije, kojom se klasifikuju rasterska okruženja (šumska vegetacija) na osnovu statističkih grupisanja spektralnih obeležja sa malom intervencijom korisnika kako bi se formirao optimalan broj izlaznih klasa vegetacije i obezbedila identifikacija i praćenje šumske vegetacije u funkciji zaštite životne sredine. Spektralno poboljšanje klasifikacija i izoštravanje detalja šumske vegetacije vršeno je korišćenjem vegetacionog indeksa (VI), normalizovanog vegetacionog indeksa (NDVI) i transformisanog normalizovanog vegetacionog indeksa (TNDVI). Za definisanje vektorske granice šumske vegetacije korišćena je georeferencirana vektorska karta područja TK200. Cilj istraživanja je da se dobijeni podaci iz ove klasifikacije mogu koristiti za planiranje, uređenje i praćenje šumske vegetacije kroz formiranje geoprostorne baze podataka i imaju veliku primenu u globalnom planiranju.

ISODATA algoritam, šumska vegetacija, spektralni kanali, multispektralne Landsat 7 slike, multispektralna analiza

M64

Intelligent and Fuzzy Systems, Cham : Springer

Intuitionistic Fuzzy AHP Approach as a Tool for Prioritization of Indicators for Development of Contemporary Wineries

Stanojević Ana, Milošević Mimica, Milošević Dušan, Jevremović Ljiljana, Milojković Aleksandar

https://enauka.gov.rs/handle/123456789/933279

Wineries represent a long-tradition typology of industrial architecture, evolved along with changes and technological advancements related to winemaking and wine consumption. Initially built as simple wine cellars, as part of complexes or as individual buildings, today, wineries are modern facilities where the production meets the tourism component. The research focuses on developing contemporary wineries and analyzing the factors that transformed these facilities from primarily industrial to publicly accessible centres of wine culture at the turn of the 20th to 21st century. The paper aims to identify the critical indicators for developing contemporary winery design concepts by applying a multi-criteria Intuitionistic Fuzzy Analytic Hierarchy Process (AHP) approach. Membership and non-membership functions can be numbers, intervals, and fuzzy numbers. Factors related to the development of contemporary wineries are divided into five independent groups: economic, environmental, socio-cultural, technological, and institutional factors. The criteria recognized within these groups will be ranked using Intuitionistic AHP, Interval Intuitionistic AHP and Fuzzy Intuitionistic AHP methods. Obtained results should address how differences in intuitionistic approaches affect the final ranking.

Intuitionistic AHP, Interval Intuitionistic AHP, Fuzzy Intuitionistic AHP, Contemporary Wineries, Development, Industrial Architecture

M14

Book of Proceedings of III International Conference on Advances in Science and Technology, Faculty of Management Herceg Novi, Montenegro, 29th May -1st June, 2024

Višekriterijumski pristup obnovi napuštenih područja: izbor metoda remedijacije

Milošević Mimica, Milošević Dušan, Stanojević Ana

https://enauka.gov.rs/handle/123456789/954481

Regeneracija područja koja više nisu aktivna, a koja su opterećena prethodnim korišćenjem predstavlja važan segment rezilijentnosti gradova na globalne izazove 21. veka. Tragovi prošlih aktivnosti ovih područja danas se jasno vide kroz zaostavštinu zapuštenih objekata i drugih infrastrukturnih postrojenja, koje često prati prisustvo zagađivača u tlu. Iz tog razloga se kao jedan od primarnih preduslova obnove i ponovne upotrebe napuštenih područja izdvaja sprovođenje remedijacije zemljišta. U zavisnosti od tipa zagađivača i njegove koncentracije u tlu, vrši se izbor optimalne metode remedijacije. U procesu izbora odgovarajuće metode potrebno je uzeti u obzir uticaj metode na okruženje, kompleksnost sprovođenja postupka, troškove, stepen efikasnosti i potrebno vreme za uklanjanje zagađivača. Rad istražuje višekriterijumski pristup u fazi obnove napuštenih područja koja se odnosi na izbor metoda remedijacije. Primenom metoda Analitičkog Hijerarhijskog Procesa (AHP), razmatrajući različite aspekte izbora metoda sanacije, rad ima za cilj da sprovede rangiranje bioloških, fizičko-hemijskih i termičkih metoda remedijacije tla i ukaže na najznačajnije metode u uklanjanju zagađivača.

Višekriterijumski pristup, AHP metod, remedijacija tla, napuštena područja

M33