Linguistic decision-making models
โ Scribed by M. Delgado; J. L. Verdegay; M. A. Vila
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 595 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
โฆ Synopsis
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 i s 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.
๐ SIMILAR VOLUMES
This paper deals with the problem of linguistic approximation in a computerized system the context of medical decision making. The general problem and a few application-oriented solutions have been treated in the literature. After a review of the main approaches (best fit, successive approximations,
Models for decentralized decision making under uncertainty are introduced. Decision makers interact with each other and update their decisions using known learning schemes, rendering analysis of the group behavior tractable. Synchronous models are shown to lead to problems in stochastic games. Speci