On hesitant fuzzy sets and decision
By Vicenç Torra, Y. Narukawa. IEEE International Conference on Fuzzy Systems, 2009
1,222 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9878ba689cf783341c7dc54449f58f8d69ee0ff8
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In Artificial Intelligence
- Zeshui Xu
- Huchang Liao
- Zhiming Zhang
- Meimei Xia
- Francisco Herrera
- Xiaolu Zhang
- Rosa M. Rodríguez
- Luis Martínez-López
In Management Science and Operations Research
- Zeshui Xu
- Huchang Liao
- Francisco Herrera
- Zhiming Zhang
- Xiaolu Zhang
- Luis Martínez-López
- Meimei Xia
- Rosa M. Rodríguez
In Statistics and Probability
- Zeshui Xu
- Meimei Xia
- Xiaolu Zhang
- Na Chen
- Huchang Liao
- Zhiming Zhang
- Francisco Herrera
- Rosa M. Rodríguez
Citations in the corpus
- Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems (2014, methodology): “To handle the situations where people are hesitant in expressing their preference over objects in a decision making process, hesitant fuzzy sets (HFSs) were introduced by Torra [22] and Torra and Narukawa [23].”
- Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information (2013, background): “…making problems are not always expressed in real numbers, and some are better suited to be denoted by fuzzy values, such as interval values [4] [5] [6], linguistic variables [7] [8], intuitionistic fuzzy values [9] [10] [11] [12], and hesitant fuzzy elements (HFEs) [13] [14], just to mention a few.”
- Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making (2011, background): “To deal with such cases, Torra and Narukawa (2009) and Torra (2010) introduced another generalization of fuzzy set, hesitant fuzzy set, allowing the membership degree having a set of possible values.”
- A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, neutral): “[109] developed the Hesitant Fuzzy Sets (HFSs) concept to present the hesitant fuzzy information, which covers the arguments”
- Hesitant fuzzy information aggregation in decision making (2011, methodology): “Furthermore, Torra and Narukawa [8] proposed an aggregation principle for HFEs:”
- Distance and similarity measures for hesitant fuzzy sets (2011, methodology): “Distance and similarity measures for HFSs Hesitant fuzzy sets (HFSs) were first introduced by Torra [31] and Torra and Narukawa [32], it permits the membership degree of an element to a set to be represented as several possible values between 0 and 1.”
- A VIKOR-based method for hesitant fuzzy multi-criteria decision making (2013, background): “Torra and Narukawa (2009), Torra (2010) firstly introduced this new extension of fuzzy set and gave some basic operations on it.”
- A supply chain transparency and sustainability technology appraisal model for blockchain technology (2019, methodology): “Therefore, we take into account HFS (Torra and Narukawa 2009) to deal with varying opinions in a quantitative setting; something that is prevalent in group decision making.”
- Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, background): “Torra (2010) and Torra and Narukawa (2009) developed the hesitant fuzzy sets (HFSs) concept to present the hesitant fuzzy information, which covers the arguments with a set of possible values.”
- Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, background): “HFSs were first introduced by Torra and Narukawa [45,46], and they permit the membership degrees of an element to be a set of several possible values between zero and one.”
- On distance and correlation measures of hesitant fuzzy information (2011, background): “D EFINITION 1 (Torra and Narukawa, 26 Torra 31 ) .”
- Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems (2016, background): “Furthermore, in order to handle the situations where people are hesitant when expressing their preferences regarding objects in the decision-making process, hesitant fuzzy sets were introduced by Torra and Narukawa (2009) and Torra (2010).”