This paper explores and ranks the key performance indicators of multi-criteria decision-making in the process of selecting renewable energy sources (RES). Different categories of factors (e.g., political, legal, technological, economic and financial, sociocultural, and physical) are crucial for the analysis of such projects. In this paper, we apply the fuzzy analytic hierarchy process (fuzzy AHP) method—a mathematical method—in order to analyze the main criteria for such projects, which include the environment, the organizational management structure, project participants, and participants’ relationship with the performance indicators. In order of ranking, the indicators are the following: time, costs, quality, monitoring the project’s sustainability, user feedback, and users’ health and safety. The aim of this paper is to point out the necessity of creating an adjustable model for renewable energy projects in order to proceed with the sustainable development of the southeast part of Serbia. This model should lead the creation process for such a project, with the aim of increasing its energy efficiency.

In the age of digitization and the ever-present use of artificial intelligence (AI), it is essential to develop methodologies that enable the systematic evaluation and ranking of different AI algorithms. This paper investigated the application of the PIPRECIA-S model as a methodological framework for the multi-criteria ranking of AI algorithms. Analyzing relevant criteria such as efficiency, flexibility, ease of implementation, stability and scalability, the paper provided a comprehensive overview of existing algorithms and identified their strengths and weaknesses. The research results showed that the PIPRECIA-S model enabled a structured and objective assessment, which facilitated decision-making in selecting the most suitable algorithms for specific applications. This approach not only advances the understanding of AI algorithms but also contributes to the development of strategies for their implementation in various industries.

The balance between resource consumption and the ability of natural systems to meet the needs of future generations emerges as a prerequisite of sustainability. Sustainability means aligning economic growth and development with the interest of the environment and social development. Decision-making is a significant responsibility in an environment and the business world because decisions affect the ecology and business performance. It is necessary to adopt new approaches in decision-making to find an appropriate method for assessing and setting priority goals. Various methods for multi-criteria decision-making have been developed, including the Analytic Hierarchy Process (AHP). The paper deals with the management of natural and human resources for the sustainable economic development of Serbia by selecting influential factors, relying on a multi-criteria decision-making framework. Appropriate methods have been applied: AHP and several fuzzy AHP (FAHP) approaches. These methods’ application enables the analysis of results from different aspects of expert opinion. Through a case study, this paper investigates the AHP method from several facets in which the identification of decision criteria is based on the perception of experts of different profiles. The findings of this research can be a guideline for decision-makers in resource management to enhance sustainable economic development. The case study confirms that the stability of the business environment and business sectors is the most influential indicator in all scenarios.

Efikasnost i korišćenje energije i resursa postalo je najvažnije merilo kvaliteta zgrada. Zgrade su u čvrstoj vezi sa tlom, a samim tim i sa prirodom iz koje mogu da crpe svu potrebnu energiju. Cilj je da količina te energije bude što manja. Ulaganje u energetsku efikasnost zgrada trebalo bi da bude prioritet, jer je ulaganje u energetsku efikasnost, ujedno i ušteda. Izgradnja energetsko efikasnih zgrada i postrojenja sve više se oslanja na primenu bioklimatskih održivih postulata. Postojeći građevinski fond je daleko veći u odnosu na fond novogradnje, pa se danas energetsko efikasni principi ne primenjuju samo kod projektovanja i izgradnje novih objekata, već se aktivno teži i primeni odgovarajućih mera i aktivnosti za unapređenje energetskih performansi kod postojećih zgrada. U procesu rekonstrukcije i sanacije izgrađenih objekata, sa aspekta njihove energetske optimizacije, najveća pažnja posvećuje se objektima stambenog karaktera. Kroz ulaganje u materijale za termoizolaciju i korišćenje obnovljivih izvora energije povećava se vrednost zgrade i omogućava se brz povratak uloženih sredstava. Jedan od primarnih ciljeva jeste ušteda potrošnje energije za grejanje i hlađenje uz poboljšanje unutrašnjeg toplotnog komfora i primenu obnovljivih izvora energije. Pri tom je potrebno sagledati veliki broj kriterijuma i faktora koji se tiču rekonstrukcije objekta u pogledu njegovog preprojektovanja, poboljšanja termičke zaštite, kao i uvođenja adekvatnih efikasnih, ekoloških i ekonomski isplativih tehničkih sistema koji koriste nekonvencionalne prirodne energetske resurse, i njihovim se vrednovanjem opredeliti za najoptimalnije rešenje. Kod donošenja odluka ovakvog karaktera, višekriterijumska analiza može biti od velikog značaja. Rad istražuje problematiku višekriterijumske analize u domenu unapređenja energetske efikasnosti postojećeg građevinskog fonda, kao i mogućnost odabira optimalnog rešenja primenom metode analitičkih hijerarhijskih procesa (AHP). Cilj rada je da se AHP metodom odrede prioritetni i dominantni faktori unapređenja performansi arhitektonskih objekata, uzimajući u obzir aspekt energetske efikasnosti i uticaj na životnu sredinu, uz odgovarajuću ekonomsku isplativost.

“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.