Dairesel Sezgisel Bulanık Çok Kriterli Karar Verme Metodolojisi

Çakır, Esra; Taş, Mehmet

doi:10.31590/ejosat.1011888

European Journal of Science and Technology

2021

DOI: 10.31590/ejosat.1011888

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Dairesel Sezgisel Bulanık Çok Kriterli Karar Verme Metodolojisi

Esra Çakır¹,

Mehmet Taş²

Abstract: ÖzSağlık turizmi günümüzün hızla büyüyen ekonomik alanlarından biridir. Sağlık turizmininden elde edilecek gelirleri arttırmak için tanıtım çalışmaları yürütülmelidir. Bu çalışmaların etkili bir şekilde yapılması için en iyi merkezin seçilmesi gereklidir. En iyi sağlık turizmi merkezi seçiminde çok kriterli karar verme yaklaşımlarından faydalanılabilir. Bu çalışmada, Türkiye'deki dört alternatif sağlık turizmi merkezinin değerlendirilmesi için bir bulanık çok kriterli karar verme yöntemi önerilmektedir. Altern… Show more

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Cited by 6 publications

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Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions

Chen

2022

Artif Intell Rev

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Circular intuitionistic fuzzy (C-IF) sets are an up-and-coming tool for enforcing indistinct and imprecise information in variable and convoluted decision-making situations. C-IF sets, as opposed to typical intuitionistic fuzzy sets, are better suited for identifying the evaluation data with uncertainty in intricate realistic decision situations. The architecture of the technique for order preference by similarity to ideal solutions (TOPSIS) provides powerful evaluation tools to aid decision-making in intuitionistic fuzzy conditions. To address appraisal issues associated with decision analysis involving extremely convoluted information, this paper propounds a novel C-IF TOPSIS approach in the context of C-IF uncertainty. This research makes three significant contributions. First, based on the three- and four-term operating rules, this research introduces C-IF Minkowski distance measures, which are new generalized representations of distance metrics applicable to C-IF values and C-IF sets. Such general C-IF distance metrics can alleviate the constraints of established C-IF distance measures, provide usage resiliency through parameter settings, and broaden the applicability of metric analysis. Second, unlike existing C-IF TOPSIS methods, this research fully utilizes C-IF information characteristics and extends the core structure of the classic TOPSIS to C-IF contexts. With the newly developed C-IF Minkowski metrics, this study faithfully demonstrates the trade-off evaluation and compromise decision rules in the TOPSIS framework. Third, this research builds on the core strengths of the pioneered C-IF Minkowski distance measures to create innovative C-IF TOPSIS techniques utilizing four different combinations, including displaced and fixed anchoring frameworks, as well as three- and four-term representations. Such a refined C-IF TOPSIS methodology can assist decision-makers in proactively addressing increasingly sophisticated decision-making problems in practical settings. Finally, this research employs two innovative prioritization algorithms to address a site selection issue of large-scale epidemic hospitals to illustrate the superior capabilities of the C-IF TOPSIS methodology over some current related approaches.

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Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions

Chen

2022

Artif Intell Rev

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An advanced approach to multiple criteria optimization and compromise solutions under circular intuitionistic fuzzy uncertainty

Chen¹

2023

Advanced Engineering Informatics

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A circular intuitionistic fuzzy assignment model with a parameterized scoring rule for multiple criteria assessment methodology

Chen

2024

Advanced Engineering Informatics

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Dairesel Sezgisel Bulanık Çok Kriterli Karar Verme Metodolojisi

Cited by 6 publications

References 24 publications

Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions

Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions

An advanced approach to multiple criteria optimization and compromise solutions under circular intuitionistic fuzzy uncertainty

A circular intuitionistic fuzzy assignment model with a parameterized scoring rule for multiple criteria assessment methodology

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