AN APPROACH FOR COMBINING LINGUISTIC AND NUMERICAL INFORMATION BASED ON THE 2-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL IN DECISION-MAKING

Francisco Herrera · Luis Martínez

454 citations0/0 files storedInternational Journal of Uncertainty Fuzziness and Knowledge-Based Systems

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Multi-Criteria Decision Making Advanced Algebra and Logic Fuzzy and Soft Set Theory

Abstract

In this paper we shall develop a procedure for combining numerical and linguistic information without loss of information in the transformation processes between numerical and linguistic information, taking as base for representing the information the 2-tuple fuzzy linguistic representation model. We shall analyze the conditions to impose the linguistic term set in order to ensure that the combination procedure does not produce any loss of information. Afterwards the aggregation process will be applied to a decision procedure over a multi-attribute decision-making problem dealing with numerical and linguistic information, that is, with qualitative and quantitative attributes.

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1956The magical number seven, plus or minus two: Some limits on our capacity for processing information.1994The magical number seven, plus or minus two: Some limits on our capacity for processing information.1981Multiple Attribute Decision Making: Methods and Applications 2000Extensions of the TOPSIS for group decision-making under fuzzy environment 2000A 2-tuple fuzzy linguistic representation model for computing with words 1994Fuzzy Preference Modelling and Multicriteria Decision Support 2000A fusion approach for managing multi-granularity linguistic term sets in decision making 1994An evidential reasoning approach for multiple-attribute decision making with uncertainty

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