TOPSIS for Hesitant Fuzzy Linguistic Term Sets

By Ismat Beg, Tabasam Rashid. International Journal of Intelligent Systems, 2013

309 citations recorded by the source corpus.

We propose a new method to aggregate the opinion of experts or decision makers on different criteria, regarding a set of alternatives, where the opinion of the experts is represented by hesitant fuzzy linguistic term sets. An illustrative example is provided to elaborate the proposed method for selection of the best alternative.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d12c916496d5cf0810f7b14bfb38df38da102b3b

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In Artificial Intelligence

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In Management Science and Operations Research

Citations in the corpus

Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, background): “[40,41] proposed hesitant fuzzy linguistic term sets (HFLTSs) that assess a linguistic variable by using several linguistic terms, and research in this area has been growing [3,20,22,25,42,51,55,82,83].”
Hesitant Fuzzy Sets: State of the Art and Future Directions (2014, unknown): “D EFINITION 36 53 .”
Probabilistic linguistic term sets in multi-attribute group decision making (2016, methodology): “Beg and Rashid [1] extended the TOPSIS method for HFLTSs.”
Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets (2014, methodology): “16 But both the TOPSIS method and its extensions fail to solve the MCDM problems with Pythagorean fuzzy information.”
Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making (2015, methodology): “Wei et al. [18] developed some comparison methods and studied the aggregation theory for HFLTSs. Beg and Rashid [19] proposed a TOPSIS based method for MCDM in which the opinion of the experts is represented by HFLTSs.”
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets (2015, methodology): “[13] I. Beg, T. Rashid, TOPSIS for hesitant fuzzy linguistic term sets, Int.”