Vladimir Simic

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• Professor
• Professor at University of Belgrade

Tour operator selection is critical for ensuring high-quality services, customer satisfaction, and sustainable tourism development. However, traditional decision-making methods often fail to address the complexities and uncertainties involved in this process. This study introduces a robust decision-making framework that integrates quantum picture f...

Formulating and implementing effective transportation policies is of the utmost importance in the context of increasingly imperative urban climate change issues. Utilizing q-rung orthopair fuzzy rough fairly aggregation operators, this paper presents an innovative method for enhancing decision-making in urban transportation policy development. Thes...

Postal and logistics companies are essential subjects in the economy, providing services of the corresponding assortment for a wide range of business and private users. Service providers strive to meet the needs of users and, at the same time, make as much profit as possible. The efficiency of each of the subsystems in companies from this area sign...

Digital transformation encompasses the processes through which organizations undergo digitization, with digital transformation maturity reflecting the extent of integration achieved within these processes, while sustainable digital transformation maturity emphasizes the incorporation of sustainability principles into the digitization and transforma...

Solar energy provides substantial benefits as compared to the fossil fuels as being renewable, reducing greenhouse gas emissions, and providing decentralized power systems. The government of India is implementing several policy measures to increase the production of solar energy with a strategic importance on solar power to fulfil the growing elect...

In this study, an innovative method known as normalized unified objective attribute relative weight assessment (NARA) was developed. This method utilizes a combination of multi-normalization techniques, proceed stakeholder opinion parametric functions, combined objective methods, and a novel final aggregation operator. The paper discusses the green...

This research explores the development of effective corporate governance strategies for non-governmental organizations (NGOs) by evaluating both critical decision criteria and innovative organizational models. Based on an extensive literature review, seven governance criteria were identified: credibility and non-profit orientation, regular informat...

The rapidly growing worldwide demand for energy and finite reservoirs of fossil fuels have intensified interest in energy projection research. Artificial intelligence, particularly in time series forecasting, holds significant promise for enhancing predictions of both cost and demand, offering numerous prospective applications over various domains....

In the realm of information retrieval (IR) and multi-criteria decision-making (MCDM), the selection of an appropriate similarity measure is crucial for evaluating keyword significance within large corpora and understanding user behavior. This study explores two foundational methodologies for document ranking: term frequency-inverse document frequen...

In recent years, the resource-constrained project scheduling problem (RCPSP) has been recognized as one of the most well-known problems in the project management context. Project managers always try to assign the resources to the project activities optimally in a short period. However, this is a challenging and complex problem that is categorized a...

The imperative inclusion of sustainable and renewable energy sources into smart grid networks underscores the need for resilient and eco-friendly energy infrastructures. The problem addressed in this paper is the selection of the most effective technique for integrating renewable energy into smart grids using decision-making frameworks. Even with t...

Traffic accidents cause huge financial, human, and emotional losses every year. With increased urbanization and population growth, safety problems are also increasing. This study develops a novel approach by integrating Support Vector Machine (SVM) with advanced meta-heuristic algorithms to build a classification model of the number of vehicles inv...

Software plays a progressively crucial role, where automated software systems control essential operations. Since development needs also progressively expand, manual code reviews become increasingly difficult, frequently resulting in testing lasting longer than development itself. An encouraging option for enhancing defect identification within the...

This study addresses the infrastructure as a service cloud provider selection process from a decision-making perspective, with the primary motivation to fill the existing gap in the literature regarding decision support systems for IaaS provider selection. The research aims to develop a reliable and practical decision support system that can assist...

Metaheuristic algorithms are crucial for solving intricate optimization problems in diverse fields. The Sine Cosine Algorithm (SCA), known for its efficiency and simplicity in global search, sometimes struggles with premature convergence and inadequate exploitation. To address these challenges, this study introduces a novel hybrid SCA-Gazelle Optim...

With the increasing complexity of hotel selection, traditional decision-making models often struggle to account for uncertainty and interrelated criteria. Multi-criteria decision-making (MCDM) techniques, particularly those based on fuzzy logic, provide a robust framework for handling such challenges. This paper presents a novel approach to MCDM wi...

The Grey Wolf Optimizer (GWO) is a meta-heuristic algorithm recognized for its effectiveness; however, it faces several limitations, such as a lack of diversity in its population, a tendency to prematurely converge on local optima, and insufficient convergence speed. To address these issues, we propose an innovative hybrid algorithm that combines t...

Green performance evaluation at the industry level is of great importance in logistics literature. This evaluation can assist in more effectively allocating government resources to support companies with superior environmental performance. Many criteria used to evaluate the environmental performance of companies involve uncertainty and ambiguity in...

Third-party remanufacturing companies are engaging in global supply chains from a circular economy perspective. This article presents an analytical model to evaluate the remanufacturing supplier's performance using a two module-based assessment tools with multiple variables: fuzzy soft-max logarithmic method of additive weights and the original sof...

Liquefied natural gas-fuel gas supply system (LNG-FGSS) play a crucial role in the global energy sector, particularly in supplying natural gas (NG). Studying this system is pivotal for tackling energy needs, environmental issues, and energy infrastructure reliability. Thus, the objective of this paper is to introduce some new methodologies for asse...

Blockchain technology has emerged as a transformative approach in the health sector, enhancing efficiency, transparency, and security in Healthcare Supply Chain Management (HSCM). It addresses critical issues such as data privacy, traceability, and fraud reduction, providing a secure and reliable platform. However, significant barriers to its imple...

The integration of robotic smart technologies into manufacturing is essential for enhancing efficiency, reducing errors, and improving overall production quality. However, decision-making in this domain is often challenged by uncertainty and imprecise information. This study utilises circular intuitionistic fuzzy sets (CIFS) to tackle the challenge...

In recent times, the electrocardiogram (ECG) has been considered as a significant and effective screening mode in clinical practice to assess cardiac arrhythmias. Precise feature extraction and classification are considered as essential concerns in the automated prediction of heart disease. A deep bi-directional capsule network (Bi-CapsNet) uses a...

The categorization of waste is playing a pivotal role in addressing and alleviating the environmental and health repercussions linked to waste. It is essential for safeguarding the environment, as improper handling of hazardous waste may result in soil, water, and air contamination, posing significant threats to ecosystems and human well-being and...

Today, in addition to the increasing pressures on urban transportation authorities to achieve sustainability goals, it has become necessary to comprehensively evaluate innovative transportation technologies such as autonomous (driverless) buses due to the increasing demand for public transportation applications that will contribute to making urban...

The equilibrium optimizer (EO) is a novel physics-based metaheuristic approach that draws inspiration from the dynamic mass balance in physics. While it has exhibited promising results in addressing numerical and engineering design problems, it has several limitations, including low diversification, poor exploration ability, and stagnation in local...

One of the pioneer technological developments for society is telecommunication. Thus, related industry is proliferating worldwide, and this acceleration forces companies to constantly increase their service quality and product variety to attract new customers. Especially in regions with high growth, losing customers to competitors (s) causes consid...

The significant challenges of rapid urbanization and population growth have led to waste generation. Currently, selecting the most appropriate solid waste disposal technique is crucial for ensuring environmental sustainability and public health protection. This study presents an extended interval-valued q-Rung Orthopair Picture Bipolar Fuzzy Set (I...

Businesses encounter risks when entering new countries, but there are also opportunities. The strategy a business employs when opting to enter a new market is directly tied to its success. In this regard, the study provides an approach for evaluating new market entry strategies for businesses facilitating in the mineral oil sector and manufacturing...

Corporations, as major contributors to carbon emissions, face mounting pressure to adopt genuine sustainability practices. However, the rise of Environmental, Social, and Governance (ESG) disclosures has concurrently given rise to greenwashing-misleading claims that erode stakeholder trust and obstruct sustainability progress. Despite the widesprea...

Large language models (LLMs) have made significant advancements in natural language processing (NLP), impacting both academia and industry. Evaluating LLMs is crucial, as these models are developed for multiple NLP tasks. However, no single LLM has successfully fulfilled all tasks simultaneously, creating a research gap. This, in turn, leads to the...

Location selection is a critical process in decision-making for projects that involve multiple criteria, such as urban planning, industrial site development, or green building projects. Multiple criteria decision making (MCDM) is a systematic approach that evaluates and ranks potential alternatives based on a set of often conflicting criteria. This...

In this paper, we introduce complex fuzzy Z-numbers (CFZNs) and pioneered a novel extension of traditional fuzzy set theory by combining complex fuzzy sets and Znumbers. We systematically explore the fundamental operations of CFZNs, such as union, complement, intersection, subset, and equality, as well as their operational rules. The averaging prio...

Authentication systems play a significant role in ensuring security in the use of information systems. In the context of human resource management, authentication systems are effectively utilized for performance appraisal based on information systems. Various authentication systems exist to support information systems, each with its strengths and w...

Various elements including environmental, public safety, economic, and security concerns define the evaluation of threats connected with the movement of dangerous materials. It is imperative to undertake a comprehensive investigation to address the multifaceted problem of risk assessment concerning the road transportation of dangerous materials. Th...

The accurate determination of results in decision analysis is usually predicated on the association between two factors. Although generating data for analytical purposes presents an apparent hurdle, the data obtained may present hurdles in its interpretation. Correlation coefficients can be used to analyze the interaction between two factors and th...

One of the most critical processes in the petroleum industry is transporting crude oil and its derivatives. Usually, it is done, due to easiness and economic aspects, through pipelines; several products, such as gasoline, kerosene, naphtha, and liquefied petroleum gas, among others, are moved in batch processes to both distribution and storage cent...

Neurodegenerative conditions are defined by the progressive deterioration and death of nerve cells in the core neural system. Most neurodegenerative conditions are not curable. While there have been significant improvements and techniques used to treat these diseases early diagnosis continues to play a crucial role in the entire approach. Condition...

Micromobility is an innovative urban transport solution that can effectively tackle greenhouse gases and reduce the use of private vehicles, especially for short-distance travel options. As a type of shared micromobility service, the electric scooter (e-scooter) is designed to provide convenient and quick rides for short distances. The constantly g...

Social movements encompass the collective actions of groups gathered under the same goal, operating within a specific organizational structure to reflect their thoughts and views through a series of actions. Social movements are expected to exhibit characteristics of violence, rationality, continuity, and public benefit. The successful performance...

Radiologists utilize pictures from X-rays, magnetic resonance imaging, or computed tomography scans to diagnose bone cancer. Manual methods are labor-intensive and may need specialized knowledge. As a result, creating an automated process for distinguishing between malignant and healthy bone is essential. Bones that have cancer have a different tex...

The introduction of (p, q)-rung linear Diophantine fuzzy set into the field of fuzzy set theory is a significant advancement, providing a broader perspective to address complicated decision-making scenarios. Alongside, the preference ranking organization method for enrichment of evaluation (PROMETHEE) emerges as a widely recognized tool for tacklin...

Geothermal energy stands out as an exceptional renewable resource for power generation, offering a consistent power production without the intermittency issues. Despite its potential to deliver a consistent supply of electricity on demand, geothermal adoption is hindered due to substantial costs. Utilizing the most effective drilling method can all...

Globally, the occurrence of cardiovascular disease is linked to atherosclerosis in heart vessels due to poor diet or underlying illnesses. Additionally, post-pandemic diseases like COrona VIrus Disease-19 (COVID-19) have accentuated cardiovascular complications, leading to significant fatalities among sufferers. The research addresses the crucial n...

The emergence of the Internet of Things (IoT) for monitoring in real-time is geared towards sustainable energy consumption practices by taking control over energy loss. The promising potential of current IoT real-time monitoring systems paves the way for future developments in monitoring devices with eco-friendly sensing capabilities. As a result,...

Blockchain technology (BT) has appeared as a promising solution for addressing several challenges in the supply chain and logistics. Digital transformation in supply chain and logistics can drive significant business growth by updating outdated systems. Though, the BT-enabled digital transformation concerning BT for a logistics industry meets the n...

This paper studies a scheduling problem involving two agents E and F with \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n_1$$\end{document} and \documentclass[12pt]{m...

Radioactive waste reduction through transmutation techniques is significant for mitigating environmental risks and ensuring long-term safety. It offers a sustainable approach to minimizing the volume of radioactive waste, contributing to both environmental preservation and enhanced nuclear energy sustainability. This paper introduces an extension o...

Finished vehicle logistics (FVL) activities are executed through agreements with service provider firms. Vehicle manufacturers make efforts to select the most successful FVL service provider. The motivation for this research lies in developing and demonstrating the application of a decision support system for FVL service provider selection. Within...

The strategic placement of hydrogen refueling stations (HRSs) is crucial for the successful adoption of hydrogen fuel cell vehicles (HFCVs) and the promotion of sustainable urban transportation. However, existing spatial decision models using Geographic Information Systems (GIS) and Multi-Criteria Decision-Making (MCDM) often stop at generating sui...

The comfort of the local people and the sustainable growth of urban areas are strongly linked to the public health of that area, and sustainable urban drainage systems (SUDS) are an essential component of both. The process of figuring out how to make SUDS better is essential to its development. The best SUDS method for guaranteeing sustainable deve...

Aware of the fact that the speed of life has influenced the increase in the demands of end consumers, i.e. the need for the goods to be delivered to the customer in the shortest possible time and at the address that suits him at the given moment, an increasing number of express mail services decided to install and activate parcel locker. In this wo...

The formation of new properties for Bipolar Linear Diophantine Fuzzy Set (BLDFS) enhances the evaluation procedure by including control parameters and meticulously accumulating positive as well as negative opinions. While previous approaches encounter difficulties in accurately grasping uncertainties, the design and development of a novel Bipolar L...

This study offers a comprehensive analysis of novel information for linear diophantine multi-fuzzy sets and illustrates its applications in practical scenarios. We introduce innovative similarity metrics tailored for linear diophantine multi-fuzzy sets, including Cosine similarity, Jaccard similarity, and Exponential similarity. Additionally, we pr...

This study focuses on solving the scheduling problem associated with a single bounded parallel-batch machine, where jobs have equal lengths but different sizes. The size of each job can be arbitrarily split into two parts, which are processed in consecutive lots. Two different definitions of job completion time are considered: Generic Completion Ti...

In the real-world performance evaluation problems by data envelopment analysis (DEA), dealing with deterministic type data may not be such effective as the real performance of a decision making unit may fluctuate in a period of time. This issue can be an important cause for using fuzzy DEA models for a fair performance evaluation. In this study for...

Weeds pose a significant challenge to environmental sustainability and agricultural productivity, contributing to land degradation and reduced forest health. Reliance on chemical herbicides for weed control has raised serious concerns for food safety and public health, and has necessitated the development of sustainable weed management strategies....

The present paper contributes to the literature in two ways. First, it develops a novel p, q Quasirung Orthopair Fuzzy (p, q QOF) based group decision making framework to modify a recently developed multi-criteria decision making (MCDM) model such as Comparisons between Ranked Criteria (COBRAC). Second, the paper ruminates on the Strength-Weakness-...

Wind energy power plants (WEPPs) are renewable energy generation facilities that are increasingly used today. The performance evaluations of these energy plants are generally based on technical performance. Although there are studies in the literature focusing on determining the technical performance of WEPPs, there is a lack of research on evaluat...

The advent of the COVID-19 pandemic has brought about unprecedented disruptions in the field of education, necessitating a reevaluation of pedagogical approaches in the post-COVID era. This research paper introduces a novel interval-valued fuzzy simple additive weighting (SAW), weighted product model (WPM), and weighted aggregates sum product asses...

Protecting digital data, systems, and networks from harmful activity and illegal access is known as digital security, sometimes referred to as cybersecurity or information security. It includes several steps meant to keep networks, systems, and digital assets safe from hackers, illegal access, and data breaches. To understand the reliability and ef...

Current research on teammate recommendation decision in various fields is difficult to apply to knowledge-intensive crowdsourcing, which needs to make a trade-off between solver willingness and team performance. To weigh the bilateral benefits between the solver and the seeker, this paper proposes a teammate recommendation model based on multi-crit...

Amid rapid global urbanization, understanding eco-sustainability challenges in megacities like Delhi is crucial both locally and globally. This study introduces a novel multi-criteria group decision-making approach, the Z-Fuzzy Step-Wise Weight Assessment Ratio Analysis (SWARA), to address these complex challenges. This method prioritizes key eco-s...

This study examines the formidable and complex challenge of insider threats to organizational security, addressing risks such as ransomware incidents, data breaches, and extortion attempts. The research involves six experiments utilizing email, HTTP, and file content data. To combat insider threats, emerging Natural Language Processing techniques a...

Increasing global energy demands and decreasing stocks of fossil fuels have led to a resurgence of research into energy forecasting. Artificial intelligence, explicitly time series forecasting holds great potential to improve predictions of cost and demand with many lucrative applications across several fields. Many factors influence prices on a gl...

According to reports from international bodies such as the World Health Organization and the United Nations, transportation is one of the leading contributors to environmental pollution and climate change. Electric vehicles present a practical solution to reducing emissions, particularly for industrial users. However, industrial users’ selection of...

The fifth-generation (5G) network is considered a game-changing technology that promises advanced connectivity for businesses and growth opportunities. To gain a comprehensive understanding of this research domain, it is essential to scrutinize past research to investigate 5G-radio access network (RAN) architecture components and their interaction...

Sustainability and CO2 reduction are vital topics nowadays. In urban and suburban contexts, road traffic is widely recognised as one of the primary sources of CO2 emissions. Thus, to reduce environmental pollution, there is an urgent need to replace vehicles with more sustainable transport modes. In this regard, electric bikes and scooters are emer...

The integration of IoT systems into automotive vehicles has raised concerns associated with intrusion detection within these systems. Vehicles equipped with a controller area network (CAN) control several systems within a vehicle where disruptions in function can lead to significant malfunctions, injuries, and even loss of life. Detecting disruptio...

Benefits of urbanisation include increased economic opportunities, better access to technology, healthcare, and education, as well as a better standard of living. The generalized extension of the q-rung orthopair fuzzy set in combination with the soft set (SS) is introduced to determine which location is most likely to be favourable for urban growt...

We introduce novel methodological techniques for decision-making with multiple attributes utilizing logarithmic square root neutrosophic vague sets. One important thing is that we improved decision-making by adding logarithmic square root neutrosophic ambiguous weighted operators. Logarithmic square root, neutrosophic imprecise weighted averaging,...

Sustainable transport is the priority for future cities and society. It is necessary to make sustainable urban transport policies to mitigate the harmful effects of current transportation systems. One of the essential issues in making cities cleaner is the propulsion technology of light commercial vehicles (LCVs). Most of the LCVs are compressed na...

This review paper provides a detailed evaluation of the existing landscape and future trends in applying machine learning and deep learning approaches for predicting concrete strength in construction engineering. The study contextualizes the investigation of machine learning and deep learning in concrete strength prediction, emphasizing the need fo...

The assessment of pharmaceutical cold chain logistics (PCCL) service quality can provide timely scientific and valid rectification suggestions for enterprises and promote the continuous development and improvement of PCCL systems. PCCL service quality evaluation can be seen as a multi-expert, multi-criteria decision-making process with significant...

The consequences for the ecosystem of polyethylene terephthalate (PET) waste are becoming increasingly significant and widespread. Companies managing PET waste strive to enhance sustainability in all areas. The development of systematic decisionmaking approaches and frameworks for PET waste management is strongly needed. This research aims to prese...

The increasing dependence and demands on cloud infrastructure have brought to light challenges associated with cloud instance pricing. The often unpredictable nature of demand as well as changing costs of supplying a reliable instance can leave companies struggling to appropriately budget to support a healthy cash flow while maintaining operating c...

The environmental impact of Bitcoin mining in Kazakhstan, which is currently the third-largest market in the world by hash rate, is coming under further scrutiny. Data on the production of renewable energy and related carbon footprints are essential for evaluating the situation. To create a thorough picture of how Bitcoin mining and environmental r...

This socialized environment among educated and developed people causes them to focus more on their appearance and health, which turns them towards medical-related treatments, leading us to discuss anti-aging treatment methods for each age group, particularly for urban people who are interested in this. Some anti-aging therapies are used to address...

Group action is defined to support Cayley's claim that every group is isomorphic to a suitable subgroup of a symmetric group. Group actions have a wide range of applications, including the analysis of symmetries of geometric objects and algorithms and cryptographic systems. In 1965, Zadeh introduced the concept of fuzzy sets and provided a mathemat...

The objective of this research work is to effectively handle the intricate and uncertain nature of decision-making in the context of industrial wastewater treatment. The prioritization of wastewater treatment is of utmost importance in order to save the environment, promote human health, ensure adherence to legal regulations, conserve resources, an...

Digital projects aspiring to reach target audiences are executed through decentralized and trustworthy blockchain platforms (BPs). Once the objectives and target audience of a digital project are defined, the selection of suitable BPs is undertaken. The primary objective of this research is to develop a decision support system that aids in the sele...

The central emphasis of human resource management resides in the precise delineation of job responsibilities, engaging in systematic inquiry to identify well-suited candidates, and discerningly electing the most qualified individual from the pool whose qualifications align with the job description. The selection of a well-suited candidate is depend...

This paper describes a generalized Diophantine fuzzy sets, which can be seen as a generalization of both Diophantine fuzzy sets and Pythagorean fuzzy sets. We define the basic properties of generalized Diophantine fuzzy set, as well as their relationships and distances. We compare Diophantine fuzzy sets with other Diophantine Pythagorean fuzzy sets...

Blockchain-based waste management investments are key to increase the performance for achieving sustainable growth for both businesses and the country's economy. In this context, a new study should be conducted to identify the most important variables. Accordingly, the purpose of this study is to examine blockchain-based waste management investment...

The global impact of the COVID-19 pandemic, characterized by its extensive societal, economic, and environmental challenges, escalated with the emergence of Variants of Concerns (VOCs) in 2020. Governments, grappling with the unpredictable evolution of VOCs, faced the need for agile decision support systems to safeguard nations effectively. This pa...

The selection of mobile applications for managing obesity poses a complex multicriteria decision-making (MCDM) challenge. This complexity arises from the diverse criteria of the apps, their respective values, and the need to determine the relative importance of these criteria. Therefore, this study contributes to the body of knowledge by evaluating...

The dynamic Metaverse, a hybrid of virtual reality and immersive simulations, has transcended its origins in gaming and has become ingrained in many facets of everyday life. This innovation has an interesting prospect for the integration of the Metaverse, as it is affecting the intricate sector of intelligent transportation systems. However, as the...

Microgrid (MG) is one of the technologies considered in the direction of providing green and sustainable energy resources for local communities. Ensuring the best performance of these MG technologies requires extensive research to provide the most efficient system. Researchbased microgrids (RB-MGs) play a vital role in the development of green ener...

This study addresses the pressing issue of student dropout in higher education institutions and explores the potential of artificial intelligence (AI) to mitigate this challenge. Student dropout is a complex phenomenon influenced by diverse factors, including internal and external, student characteristics and skills. To enhance retention strategies...

Deep learning, a robust framework for complex learning, outperforms previous machine learning approaches and finds widespread use. However, security vulnerabilities, especially in fusion in multi-color channel skin detection applications using adversarial machine learning (AML) and generative adversarial networks (GANs), lead to misclassifications....

Sustainable brand equity denotes the perceived brand equity by consumers, influenced by companies' non-financial and environmental practices. To cultivate sustainable brand equity, corporations undertake green initiatives and engage in social responsibility endeavors, thereby communicating environmentally oriented messages to consumers. Companies f...

Fish cages are crucial for the establishment of sustainable fish farms. The selection of fish cages is an essential subject to be examined for ensuring sustainability. This research introduces an advanced decision support model for the selection of fish cage types used in fish farming in reservoirs (R-FFs). The decision support model is based on mu...

The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biological factors. Similarly, the effects of vaccination on people's immunity vary across several factors. After the pandemic, real-life post-vaccination anomalies significantly impact women's health, access to medical treatments and medications, mental well...

In Turkey, the transportation industry's greenhouse gas (GHG) emissions increased by 147.1% between 1990 and 2019. Today, this transportation industry (i.e., freight and passenger) is among the significant contributors to greenhouse gas emissions in Turkey's megacities. Moreover, 65.43% of short-distance trips between home to work and home to schoo...

This paper explores the viability of environmentally conscious propulsion technologies for road freight distribution, specifically using T-spherical fuzzy information. With the increasing need for sustainable transportation, the study investigates the potential of various propulsion technologies, including electric, hybrid, solar, and diesel vehicl...

In this research is presented a new method for determining the weights of criteria called simple weight calculation (SIWEC) method. The steps of this method are presented in the practical example of determining the importance of criteria for the needs of sales of agricultural products in the Semberija region. During the presentation of this method...

Since Fermatean fuzzy (FF) sets are very effective in dealing with uncertain decision-making issues, in this work, we develop a group decision-making methodology to handle FF information. Since the current approaches do not take into account the experts' subjective and objective weights, the assessment outcomes become contorted. To overcome this, i...

Electroencephalography (EEG) serves as a crucial neurodiagnostic tool by recording the electrical brain activity via attached electrodes on the patient's head. While artificial intelligence (AI) exhibited considerable promise in medical diag-nostics, its potential in the realm of neurodiagnostics remains underexplored. This research addresses this...