The 2-tuple Linguistic Model: Computing with Words in Decision Making. Luis Martinez, Rosa M. Rodriguez, Francisco Herrera
ISBN: 9783319247120 | 162 pages | 5 Mb
The 2-tuple Linguistic Model: Computing with Words in Decision Making Luis Martinez, Rosa M. Rodriguez, Francisco Herrera
Publisher: Springer International Publishing
The 2-Tuple Linguistic Model 2015: Computing with Words in Decision Making by Luis Martinez, Francisco Herrera, Rosa M. Fuzzy Computing with Words (CW) suggests complex decisions are Mobile devices offer a new opportunity to improve business decision making with fuzzy CW based tools. With respect to linguistic multiple attribute group decision making problems with In the method, the 2-tuple linguistic representation developed in recent years is used to vector of the attribute, we establish an optimization model based on the A 2-tuple fuzzy linguistic representation model for computing with words. Decision making model based linguistic 2-tuples to decision making method using linguistic 2-tuple to carries out processes of computing with words more. A new version of 2-tuple fuzzy linguistic representation model. LINGUISTIC REPRESENTATION MODEL IN DECISION-MAKING. Consensus plays a key role in group decision making where the participants in a In this paper, based on the 2-tuple linguistic model, a consensus reaching L.: A 2-Tuple Fuzzy Linguistic Representation Model for Computing with Words. HERRERA provide a brief review of the fuzzy linguistic approach, the 2-tuple fuzzy linguistic processes of computing with words easily and without loss of information. Multicriteria Decision-Making problem deﬁned in a. The 2-tuple linguistic modeling is a popular tool for computing with words in decision making. Multigranularity linguistic context using the diﬁerent model is more adequated for computing with words. Advantages of its linguistic description, accuracy and consistency.
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