A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making

By Hongbin Liu, Rosa M. Rodríguez. Information Sciences, 2014

394 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/3b5a4b15514b72e680c18e7e6ae093dda22a6e6d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Huchang Liao
2. Xiaolu Zhang
3. José M. Merigó
4. Zeshui Xu
5. C. Kahraman
6. Xiao-Jun Zeng
7. Hai Wang
8. Qi-ying Pang

In Management Science and Operations Research

1. Zeshui Xu
2. Huchang Liao
3. José M. Merigó
4. Xiaolu Zhang
5. Xiao-Jun Zeng
6. C. Kahraman
7. Hai Wang
8. Başar Öztayşi

In Ocean Engineering

1. C. Kahraman
2. Xiao-Jun Zeng
3. Zeshui Xu
4. Sezi Cevik Onar
5. Xiaolu Zhang
6. Huchang Liao
7. Başar Öztayşi
8. José M. Merigó

Citations in the corpus

• Fuzzy Multicriteria Decision-Making: A Literature Review (2015, positive): “Liu and Rodriguez [118] modify TOPSIS method by using hesitant fuzzy sets.”
• Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making (2017, background): “It seems that the linguistic models and computational processes used in traditional linguistic GDM problems [7] can be directly extended to linguistic LGDM problems, which may include the linguistic aggregation operator-based approach and the models based on uncertain linguistic terms [28], [29] and”
• 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].”
• Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets (2015, methodology): “[4] R.M. Rodríguez, L. Martínez, F. Herrera, Hesitant fuzzy linguistic terms sets for decision making, IEEE Trans.”
• A Novel Approach Based on Similarity Measure for Pythagorean Fuzzy Multiple Criteria Group Decision Making (2016, methodology): “(1) ⊕-union: β1 ⊕ β2 = P ( √ (μβ1 ) 2 + (μβ2 )(2) − (μβ1 )(2)(μβ2 )(2), vβ1vβ2 ), (2) ⊗-intersection: β1 ⊗ β2 = P (uβ1uβ2 , √ (vβ1 ) 2 + (vβ2 )(2) − (vβ1 )(2)(vβ2 )(2)),”
• 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.”
• Probabilistic linguistic term sets in multi-attribute group decision making (2016, background): “HFLTSs and Their Basic Operations Considering the situations where the DMs may hesitate among several possible values in decision making, which is similar to hesitant fuzzy set, Rodriguez et al. [23] presented the following concept of HFLTSs: Definition 1 [23].”