Linguistic decision‐making models | Zendy

Delgado M. | Zendy; Verdegay J. L. | Zendy; Vila M. A. | Zendy

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Linguistic decision‐making models

Author(s) -

Delgado M.,

Verdegay J. L.,

Vila M. A.

Publication year - 1992

Publication title -

international journal of intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.291

H-Index - 87

eISSN - 1098-111X

pISSN - 0884-8173

DOI - 10.1002/int.4550070507

Subject(s) - computer science , term (time) , set (abstract data type) , rule based machine translation , fuzzy set , artificial intelligence , decision tree , dempster–shafer theory , section (typography) , natural language processing , linguistics , fuzzy logic , machine learning , philosophy , physics , quantum mechanics , programming language , operating system

Using linguistic values to assess results and information about external factors is quite usual in real decision situations. In this article we present a general model for such problems. Utilities are evaluated in a term set of labels and the information is supposed to be a linguistic evidence , that is, is to be represented by a basic assignment of probability (in the sense of Dempster‐Shafer) but taking its values on a term set of linguistic likelihoods. Basic decision rules, based on fuzzy risk intervals, are developed and illustrated by several examples. the last section is devoted to analyzing the suitability of considering a hierarchical structure (represented by a tree) for the set of utility labels. © 1992 John Wiley & Sons, Inc.

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