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Journal ArticleDOI

Measuring tranquility and anxiety in decision making: an application of fuzzy sets

Ronald R. Yager
- 01 Jun 1982 - 
- Vol. 8, Iss: 3, pp 139-146
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TLDR
Using some concepts from fuzzy set theory, a measure for the anxiety induced by a given decision function is suggested and some implications of this measure are investigated.
Abstract
The selection of one alternative from a set of alternatives as the one to implement is in general an anxiety provoking situation. Using some concepts from fuzzy set theory described in the paper, a measure for the anxiety induced by a given decision function is suggested. Some implications of this measure are investigated.

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References
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Journal ArticleDOI

Outline of a New Approach to the Analysis of Complex Systems and Decision Processes

TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.
Book

Decision-making in a fuzzy environment

TL;DR: A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
Journal ArticleDOI

Similarity relations and fuzzy orderings

TL;DR: An extended version of Szpilrajn's theorem is proved and various properties of similarity relations and fuzzy orderings are investigated and, as an illustration, a fuzzy preordering is investigated which is reflexive and antisymmetric.
Journal ArticleDOI

A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory

TL;DR: A functional defined on the class of generalized characteristic functions (fuzzy sets), called “entropy≓, is introduced using no probabilistic concepts in order to obtain a global measure of the indefiniteness connected with the situations described by fuzzy sets.