A method based on linguistic aggregation operators for group decision making with linguistic preference relations
By Zeshui Xu. Information Sciences, 2004
970 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ad3eb9e564800354269f4a51ada04826e34251cf
How researchers see this paper
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In Computational Theory and Mathematics
- Zeshui Xu
- Francisco Herrera
- Enrique Herrera-Viedma
- Huchang Liao
- Luis Martínez-López
- Xiao-Jun Zeng
- Yucheng Dong
- Francisco Chiclana
In Management Science and Operations Research
- Zeshui Xu
- Francisco Herrera
- Huchang Liao
- Enrique Herrera-Viedma
- Luis Martínez-López
- Xiao-Jun Zeng
- José M. Merigó
- Zhiming Zhang
Citations in the corpus
- Computing with Words in Decision support Systems: An overview on Models and Applications (2010, methodology): “The initial proposal for a symbolic model 99 uses max-min operators, and new symbolic proposals 17 , 97 introduce aggregation based symbolic models.”
- Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model (2009, background): “It has received increasing attention since its appearance, and been used successfully in a wide range of applications, such as information retrieval [5], [27], [28], [34], and [35], decision-making [2], [6], [7], [11], [14], [15], [17], [30], [33], and [43], consensus process [3], [4], and [29], and”
- Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, background): “…multi-set (Miyamoto, Liu, & Kunii, 2000; Ronald R Yager, 1986), interval-valued fuzzy set (Zadeh, 1975), linguistic fuzzy set (ZS Xu, 2004; Zeshui Xu, 2004) and type-2 fuzzy set (Dubois & Prade, 1980). paper, some of journals are listed based on publishers, and some journals (e.g., Emerald, John…”
- A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, methodology): “intuitionistic fuzzy set [114] and a fuzzy multi-set [120, 121], as well as a linguistic fuzzy set [122, 123], were offered in the”
- An approach based on the uncertain LOWG and induced uncertain LOWG operators to group decision making with uncertain multiplicative linguistic preference relations (2006, background): “.,t}, and constructs the uncertain multiplicative linguistic preference relation Ãl=(ãij (l))n n, whose element ãij (l)=[aij (l)-,aij (l)+]aS̃ esti- mates the preference degree of alternative xi over xj, and meets sl /tVaij (l )-Vaij (l )+Vst , aij (l )- aji(l ) + =aij (l )+ aji (l )-=s1, aij (l…”
- Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making (2011, methodology): “…several tools have been developed, such as fuzzy set (Zadeh 1965), interval-valued fuzzy set (Zadeh 1975), linguistic fuzzy set (Herrera et al. 1996; Xu 2004, 2005), type-2 fuzzy set (Dubois and Prade 1980; Miyamoto 2005), which allow the degree of an element to a set denoted by the fuzzy number,…”
- Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making (2015, methodology): “To circumvent these flaws and to improve the accuracy and understandability of the processes of CWW, different linguistic representation models have been introduced, such as the 2-tuple fuzzy linguistic representation model [11], the linguistic model based on type-2 fuzzy set [12], the virtual lingu”
- Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making (2013, background): “Several classical extensions of the concept have been developed, including the interval-valued fuzzy set [37,64], intuitionistic fuzzy set [2,3,23,25], intervalvalued intuitionistic fuzzy set [4,22,41], linguistic fuzzy set [46,48], type-2 fuzzy set [5,10,12–14,30,66], type-n fuzzy set [10], and fuz”
- Induced uncertain linguistic OWA operators applied to group decision making (2006, background): “If s a 2 S, then we call s a an original linguistic term, otherwise, we call s a a virtual linguistic term [15].”
- Some geometric aggregation operators based on intuitionistic fuzzy sets (2006, methodology): “0 and P n j ¼ 1 v j ¼ 1, then a WG operator is defined as (Saaty 1980, Acze´l and Saaty 1983, Willet and Sharda 1991, Benjamin et al. 1992, Xu 2000, Xu and Da 2003): Another geometric aggregation operator called the OWG operator based on the OWA operator (Yager 1988, Yager 1993, Yager and Kacprzyk 19”