An intuitionistic fuzzy multi-distance based evaluation for aggregated dynamic decision analysis (IF-DEVADA): Its application to waste disposal location selection

Alkan, Nurşah; Kahraman, Cengiz

doi:10.1016/j.engappai.2022.104809

Cited by 47 publications

(17 citation statements)

References 86 publications

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“…In MCDM problems, various analyzes are often used to search for the robustness of the proposed methodology which are sensitivity analysis, validity analysis and comparative analysis ( Alkan and Kahraman, 2022 , Celik and Gul, 2021 , Gul and Ak, 2021 , Haktanır and Kahraman, 2022 , İlbahar et al, 2022 , Karasan et al, 2022 , Karaşan et al, 2021 ). Through these analyses, the results are tried to be verified and the changes in the outputs can be observed.…”

Section: Robustness Analysismentioning

confidence: 99%

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

Erdoğan

Ayyıldız

2022

Engineering Applications of Artificial Intelligence

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Section: Robustness Analysismentioning

confidence: 99%

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

Erdoğan

Ayyıldız

2022

Engineering Applications of Artificial Intelligence

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“…Yu et al [6] explained the basic properties of IFS information. Alkan et al [7] discussed the distance measure based method under IFS information and their application to DMs problems. Thao et al [8] explained the similarity measure under IFS information and their application to real life decision making problems.…”

Section: A Brief Review On the Development Of Intuitionistic Fuzzy Setmentioning

confidence: 99%

Analysis of S-Box Based on Image Encryption Application Using Complex Fuzzy Credibility Frank Aggregation Operators

et al. 2022

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This article is about a criterion based on credibility complex fuzzy set (CCFS) to study the prevailing substitution boxes (S-box) and learn their properties to find out their suitability in image encryption applications. Also these criterion has its own properties which is discussed in detailed and on the basis of these properties we have to find the best optimal results and decide the suitability of an S-box to image encryption applications. S-box is the only components which produces the confusion in the every block cipher in the formation of image encryption. So, for this first we have to convert the matrix having colour image using the nonlinear components and also using the proposed algebraic structure of credibility complex fuzzy set to find the best S-box for image encryption based on its criterion. The analyses show that the readings of GRAY S-box is very good for image data. Contributions: As from literaure reveiw a FS contained one MD and IFS conatined two degrees which is MD and NMD. As these generalization of crisp set there is no detailed about the degree of accuarcy (credibility). So, here in this paper we have used the CFCS information which has MD and degree of credibility (accuracy) as well as we have develop a series of aggregation operators which is based on the Frank norms. And also we have discussed CoCoSo method under CFCS information.

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“…Thus, MAGDM problems are too scientific and complex to evaluate by simple real number and operation. The FSs and its extension provide to contain more information [36][37][38][39] and MADM methods provide different theories to evaluate the attribute weight and the alternatives [40][41][42][43]. Different from other methods, MABAC [44] evaluates the alternative by defining the distance between possible solution and border approximation area, and is a classical method utilized in different fuzzy sets which include Pythagorean Fuzzy sets (PFSs) Peng and Yang [45], interval neutrosophic sets (INSs) [46], interval type-2 fuzzy [47].…”

Section: Introductionmentioning

confidence: 99%

An integrated decision-making methodology for green supplier selection based on the improved IVIF-CPT-MABAC method

Jing

Cai

Wang

et al. 2023

IFS

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Green supply chain management attaches great importance to the coordinated development of social economy and ecological environment, and requires enterprises to consider environmental protection factors in product design, packaging, procurement, production, sales, logistics, waste and recycling. Suppliers are the “source” of the entire supply chain, and the choice of green suppliers is the basis of green supply chain management, and their quality will directly affect the environmental performance of enterprises. The green supplier selection is a classical multiple attribute group decision making (MAGDM) problems. Interval-valued intuitionistic fuzzy sets (IVIFSs) are the extension of intuitionistic fuzzy sets (IFSs), and are utilized to depict the complex and changeable circumstance. To better adapt to complex environment, the purpose of this paper is to construct a new method to solve the MAGDM problems for green supplier selection. Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into consideration, the original MABAC method based on the cumulative prospect theory (CPT) is extended into IVIFSs (IVIF-CPT-MABAC) method for MAGDM issues. Meanwhile, the method to evaluate the attribute weighting vector is calculated by CRITIC method. Finally, a numerical example for green supplier selection has been given and some comparisons is used to illustrate advantages of IVIF-CPT-MABAC method and some comparison analysis and sensitivity analysis are applied to prove this new method’s effectiveness and stability.

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An intuitionistic fuzzy multi-distance based evaluation for aggregated dynamic decision analysis (IF-DEVADA): Its application to waste disposal location selection

Cited by 47 publications

References 86 publications

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

Analysis of S-Box Based on Image Encryption Application Using Complex Fuzzy Credibility Frank Aggregation Operators

An integrated decision-making methodology for green supplier selection based on the improved IVIF-CPT-MABAC method

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