Eowa And Eowg Operators For Aggregating Linguistic Labels Based On Linguistic Preference Relations

By Zeshui Xu. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

319 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/9d79d70a2c8791d63ce80fc88647d4579f026f84

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Citations in the corpus

Consistency Measures for Hesitant Fuzzy Linguistic Preference Relations (2014, unknown): “Some operational laws of any two linguistic terms sα , sβ ∈ S̄ are introduced by Xu [25] as follows: ⎧ ⎪⎨”
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…”
Consistency-based risk assessment with probabilistic linguistic preference relation (2016, methodology): “Based on the additive consistency of the LPR [20], we can define the consistency for the PLPR with one element:”
Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model (2009, background): “The basic notations and operational laws of linguistic variables are introduced in [11], [12], [22], [42], and [46].”
Computing with Words in Decision support Systems: An overview on Models and Applications (2010, methodology): “Then to accomplish processes of CW with this representation model, Xu introduced the following operational laws 96 , 98 : Importantly, this symbolic computational model uses a term set that changes during the computations as new virtual terms are created in the computing processes.”
Computing with words in decision making: foundations, trends and prospects (2009, background): “For example, some extensions to the classical families of ordered weighted averaging and geometric operators have been presented in [112, 115].”
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”
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”