Creating a common priority vector in intuitionistic fuzzy AHP: a comparison of entropy-based and distance-based models

Duleba, Szabolcs; Alkharabsheh, Ahmad; Gündoğdu, Fatma Kutlu

doi:10.1007/s10479-021-04491-5

Cited by 14 publications

(3 citation statements)

References 59 publications

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“…It is interesting to note that AHP has received various extensions in the SCRA literature. Consider for instance fuzzy AHP, Monte Carlo AHP, DEA-AHP, Grey-AHP, and Delphi AHP (Duleba et al, 2021;Mital et al, 2018;Rathore et al, 2017;Salehi Heidari et al, 2018;Samvedi et al, 2013;Viswanadham & Samvedi, 2013;Wang, Li, et al, 2012;Zimmer et al, 2017). The interested reader aiming to find out more about the various integrated forms of AHP and its applications is referred to Ho (2008) and Ho and Ma (2018).…”

Section: Analytic Hierarchy Process and Its Extensionsmentioning

confidence: 99%

Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications

et al. 2022

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The year 2020 can be earmarked as the year of global supply chain disruption owing to the outbreak of the coronavirus (COVID-19). It is however not only because of the pandemic that supply chain risk assessment (SCRA) has become more critical today than it has ever been. With the number of supply chain risks having increased significantly over the last decade, particularly during the last 5 years, there has been a flurry of literature on supply chain risk management (SCRM), illustrating the need for further classification so as to guide researchers to the most promising avenues and opportunities. We therefore conduct a bibliometric and network analysis of SCRA publications to identify research areas and underlying themes, leading to the identification of three major research clusters for which we provide interpretation and guidance for future work. In doing so we focus in particular on the variety of parameters, analytical approaches, and characteristics of multi-criteria decision-making techniques for assessing supply chain risks. This offers an invaluable synthesis of the SCRA literature, providing recommendations for future research opportunities. As such, this paper is a formidable starting point for operations researchers delving into this domain, which is expected to increase significantly also due to the current pandemic.

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Section: Analytic Hierarchy Process and Its Extensionsmentioning

confidence: 99%

Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications

et al. 2022

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“…There are only a few studies dealing with the question that which pattern of comparisons should we use in a given problem (Szádoczki et al, 2022), and to our knowledge, none of them regards additional ordinal information as well, thus in this paper we would like to eliminate this research gap. The comparison of different priority vectors has an important role in our study, which has been also used in the different optimizations of aggregation of group preferences (Duleba et al, 2021) and in several weight calculation problems (Kou and Lin, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Incomplete pairwise comparison matrices based on graphs with average degree approximately 3

et al. 2022

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A crucial, both from theoretical and practical points of view, problem in preference modelling is the number of questions to ask from the decision maker. We focus on incomplete pairwise comparison matrices based on graphs whose average degree is approximately 3 (or a bit more), i.e., each item is compared to three others in average. In the range of matrix sizes we considered, $$n=5,6,7,8,9,10$$ n = 5 , 6 , 7 , 8 , 9 , 10 , this requires from 1.4n to 1.8n edges, resulting in completion ratios between 33% ($$n=10$$ n = 10 ) and 80% ($$n=5$$ n = 5 ). We analyze several types of union of two spanning trees (three of them building on additional ordinal information on the ranking), 2-edge-connected random graphs and 3-(quasi-)regular graphs with minimal diameter (the length of the maximal shortest path between any two vertices). The weight vectors are calculated from the natural extensions, to the incomplete case, of the two most popular weighting methods, the eigenvector method and the logarithmic least squares. These weight vectors are compared to the ones calculated from the complete matrix, and their distances (Euclidean, Chebyshev and Manhattan), rank correlations (Kendall and Spearman) and similarity (Garuti, cosine and dice indices) are computed in order to have cardinal, ordinal and proximity views during the comparisons. Surprisingly enough, only the union of two star graphs centered at the best and the second best items perform well among the graphs using additional ordinal information on the ranking. The union of two edge-disjoint spanning trees is almost always the best among the analyzed graphs.

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“…Duleba et al (2022a) addressed a public transport development problem and used AHP and Entropy methods to deal with the evaluation process. They utilized intuitionistic fuzzy sets and distance-based aggregation operators in their methodology Ortega et al (2021).…”

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confidence: 99%

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

et al. 2022

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Studies related to transportation planning and development have been in the center of activities of many researchers in the past decades. Road congestions issues, economic problems, health problems and environmental problems are some examples of complex problems that can be caused by urban and public transportation in big cities. Evaluating urban and public transportation systems could help to reach effective solutions to overcome these issues. This article presents a short bibliographic review of some recent studies on Multi-Criteria Decision-Making (MCDM) approaches for evaluating urban and public transportation systems. To this aim, Scopus was chosen as the database for making a search on journal articles. Scopus is trusted by major institutions in the world, and all journals covered in this database are inspected for sufficiently high quality each year. The search was made on the journal articles from 2017 to 2022 (July). The analyses presented in this study show that the Analytic Hierarchy Process (AHP) method is the most used method, which has been applied to different studies in the field of urban and public transportation systems based on MCDM approaches. According to the analysis of the number of articles, Turkey is ranked 1st among different countries, and “Budapest University of Technology and Economics” (Hungary) is 1st in the ranking of institutions. Moreover, most of the articles have been published within the “social sciences” subject area. The recent trend in different studies on urban and public transportation systems shows the importance of using MCDM approaches in this field. Moreover, noticeable employment of fuzzy sets in several studies is a point that can shows the significant role of uncertainty in dealing with this type of problems.

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Creating a common priority vector in intuitionistic fuzzy AHP: a comparison of entropy-based and distance-based models

Cited by 14 publications

References 59 publications

Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications

Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications

Incomplete pairwise comparison matrices based on graphs with average degree approximately 3

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

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