Przeglądaj wg Autor "Shekhovtsov, Andrii"

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  • Miniatura
    PozycjaOpen Access
    Comparison of multi-criteria decision methods for customer-centered decision making: A practical study case
    (Elsevier, 2023) Shekhovtsov, Andrii; Dobryakova, Larisa; Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Szczecin, Poland; Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Szczecin, Poland
    In this paper, we show the practical application of two recently proposed Multi-Criteria Decision Analysis (MCDA) methods, namely the Stable Preference Ordering Towards the Ideal Solution (SPOTIS) and the Reference Ideal Method (RIM) methods. Both of these methods can utilize the Expected Solution Point (ESP) concept, which allows it to easily reflect the decision-maker's or the customer's preferences and expectations. We show the comparison of those methods in the practical study case of laptop choice for the customer with specific needs and expectations for the hardware expressed using ESP. The comparison also includes rankings built toward an optimal solution to underline the necessity of such an approach as the Expected Solution Point. We also use the recently developed Ranking Comparison (RANCOM) method to identify criteria weights to include customer preferences in the weights. The paper also contains a broad discussion of the obtained results and limitations of the presented methods.
  • Miniatura
    PozycjaOpen Access
    Evaluating the Performance of Subjective Weighting Methods for Multi-Criteria Decision-Making using a novel Weights Similarity Coefficient
    (Elsevier, 2023) Shekhovtsov, Andrii; Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Szczecin, Poland
    In every decision-making problem which involves two or more criteria, there is to identify the relative importance of those criteria in order to make a proper decision. Very often, a decision-makers employee, for this purpose, subjective weighting methods, such as Analytic Hierarchy Process (AHP) or RANking COMparison (RANCOM). However, there is no simple way to compare the quality of the weights identification using different methods. To address this issue, this paper proposes a simple but efficient Weights Similarity Coefficient, which allows us to evaluate the relative performance of different subjective weighting methods. Furthermore, we propose a framework that utilizes the proposed coefficient in order to provide more complete comparison results.To demonstrate the applicability and effectiveness of the proposed framework, a case study is performed to compare two popular weighting methods: AHP and RANCOM. The results of the comparison prove that proposed coefficient with the combination of the proposed framework is an efficient instrument for weighing methods comparison.
  • Miniatura
    PozycjaOpen Access
    Recent Advances in Multi-Criteria Decision Analysis: A Comprehensive Review of Applications and Trends
    (IOS Press, 2023) Więckowski, Jakub; Sałabun, Wojciech; Kizielewicz, Bartłomiej; Bączkiewicz, Aleksandra; Shekhovtsov, Andrii; Paradowski, Bartosz; Wątróbski, Jarosław; National Telecommunications Institute, ul. Szachowa 1, 04-894 Warsaw, Poland; West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland; National Telecommunications Institute, ul. Szachowa 1, 04-894 Warsaw, Poland; West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland; National Telecommunications Institute, ul. Szachowa 1, 04-894 Warsaw, Poland; West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland; Institute of Management, University of Szczecin, ul. Cukrowa 8, 71-004 Szczecin, Poland; National Telecommunications Institute, ul. Szachowa 1, 04-894 Warsaw, Poland; West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland; National Telecommunications Institute, ul. Szachowa 1, 04-894 Warsaw, Poland; West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland; National Telecommunications Institute, ul. Szachowa 1, 04-894 Warsaw, Poland; Institute of Management, University of Szczecin, ul. Cukrowa 8, 71-004 Szczecin, Poland
    In recent years, multi-criteria decision support methods have become widely used research tools by both scientists and practitioners. Theoretical works involving new multi-criteria methods and develop ments of existing methods immediately find applications in areas of busi ness practice. This paper attempts to sort out the areas of application of MCDA methods. For this purpose, the relevant literature from 2018-2023 was reviewed. The inclusion selection criteria were defined as addressing multi-criteria practical issues, open accessibility, comprehensive research methodology and findings, and the use of an MCDA method in the eval uation process. Detailed research identified that the main areas of use of MCDA methods are healthcare, energy management, supplier selection, and transportation. Due to the timeliness and importance of the problem, a detailed study of the use of MCDA methods in sustainability issues was separated. The paper contributes contributions to both theory and economic practice. The article provides a series of recommendations both on the methodological side of the problems to be solved and shows the practical prism of individual decision models, offering ready-to-use decision models, and providing a comprehensive review of recent MCDA advancements, fostering informed and reliable decision-making. Addi tionally, this review sheds light on the latest developments in MCDA, emphasizing trends in Decision Support Systems (DSS) and prominent application areas in contemporary research.