A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting

Shemshadi, Ali; Shirazi, Hossein; Toreihi, Mehran; Tarokh, Mohammad Jafar

doi:10.1016/j.eswa.2011.03.027

Cited by 625 publications

(320 citation statements)

References 40 publications

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“…The Entropy and ROV methods provide some advantages to the decision makers. Entropy method measures the relative contrast intensities of the criteria to represent the average intrinsic information transmitted to the decision maker (Shemshadi et al, 2011). This method determines the weights of criteria objectively without considering the decision makers' preferences.…”

Section: Resultsmentioning

confidence: 99%

Untitled

2017

Eur. j. interdiscip. stud.

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Section: Resultsmentioning

confidence: 99%

Untitled

2017

Eur. j. interdiscip. stud.

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“…Several MADM techniques have been proposed for the SSE problem: analytic hierarchy process (AHP) [34][35][36], analytic network process (ANP) [34], complex proportional assessment (COPRAS) [36][37][38], data envelopment analysis (DEA) [36,[39][40][41], elimination et choix traduisant la realité (ELECTRE) [42,43], preference ranking organization method for enrichment of evaluations (PROMETHEE) [44], technique for order of preference by similarity to ideal solution (TOPSIS) [45][46][47][48][49], visekriterijumska optimizacija i kompromisno resenje (VIKOR) [50,51], decision-making trial and evaluation laboratory (DEMATEL) [52,53], multi-objective optimisation by ratio analysis (MOORA) [54], case based reasoning (CBR) [55], fuzzy inference systems [56,57], genetic algorithm (GA) [58], mathematical and goal programming (MP) [59], simple multi-attribute rating technique (SMART) [60], and their hybrids, among others. In those MADM techniques, the supplier qualification is set according to the valuation given to different relevant factors (qualitative and quantitative) in the evaluation process.…”

Section: Main Methodologies and Factors Used In Sse Modelsmentioning

confidence: 99%

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

et al. 2018

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This paper designs a bidding and supplier evaluation model focused on strategic product procurement, and develops their respective evaluation knowledge bases. The model is built using the most relevant variables cited in the reviewed procurement literature and allows to compare two evaluation methods: a factor weighting method (WM) and a fuzzy inference system (FIS). By consulting an expert panel and using a two-tuples symbolic translation system, strong fuzzy partitions for all model variables are built. The method, based on central symmetry, permits to obtain the fuzzy label borders from their cores, which have been previously agreed among experts. The system also allows to agree the fuzzy rules to embed in the FIS. The results show the FIS method's superiority as it allows to better manage the non-linear behavior and the uncertainty inherent to the supplier evaluation process.

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“…In [29], fuzzy VIKOR is used in selecting insurance companies in a group decision making process whiles [30] employed fuzzy VIKOR to resolve multi-criteria decisionmaking problems. The method is used by [31], [32] for supplier selection problems. In [32], however, the method is modified using entropy measure for objective weighting.…”

Section: Fuzzy Vikor Methodsmentioning

confidence: 99%

“…The method is used by [31], [32] for supplier selection problems. In [32], however, the method is modified using entropy measure for objective weighting. In [33] fuzzy VIKOR is utilized for optimized partners' choice in IS/IT outsourcing projects.…”

Section: Fuzzy Vikor Methodsmentioning

confidence: 99%

Fuzzy Vikor Approach: Evaluating Quality of Internet Health Information

Afful-Dadzie¹,

Nabareseh²,

Oplatková³

2014

Annals of Computer Science and Information Systems

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Abstract-Proliferation of health related information on the internet is both welcoming and a concern. For instance when solicited information goes wrong, it tends to have dire consequences on the general public. Assessing the quality of internet health information is often difficult but a rational and systematic approach can be useful in evaluating the quality of the services they render to the public. The paper proposes a fuzzy VIKOR framework for evaluating and ranking internet health information providers under a fuzzy environment where uncertainties and subjectivities are catered for with linguistic variables. Linguistic variables with triangular fuzzy numbers (TFN) are used to evaluate weights of the evaluation criteria and the rankings of each internet health information provider. A numerical example is demonstrated using HIV/AIDS online information providers in the most adult prevalent country in the world. The proposed method is compared with TOPSIS and can be applied in evaluating the quality of other specific internet health information providers.

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A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting

Cited by 625 publications

References 40 publications

Untitled

Untitled

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

Fuzzy Vikor Approach: Evaluating Quality of Internet Health Information

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