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Decision Making in a Fuzzy Environment

·2007·Advances in Fuzzy Systems — Applications and Theory

Abstract

By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control, are fuzzy in nature.This means that the goals and/or the constraints Constitute classes Of alternatives whose boundaries are not sharply defined.An example of a fuzzy constraint is: "The cost of A should not be substantially higher than a," where a is a specified constant.Similarly, an example of a fuzzy goal is: "x should be in the vicinity of x 'I where x is a constant.The underlined words are the sources of fuzziness in these examples.0, 0 * * Assuming, of course, that p takes values in a linearly ordered set.G I'.

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Metadata

Venue
Advances in Fuzzy Systems — Applications and Theory
Published
2007-04
Pages
91-126
ISSN
2010-2771 (ISSN-L)
OpenAlex
W2171715801
Cited by
5,320
References
0
FWCI
765.82
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Decision Making in a Fuzzy Environment. https://app.cochat.ai/papers/10.1142/9789812770622_0004
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Decision Making in a Fuzzy Environment. (2007). Advances in Fuzzy Systems — Applications and Theory. https://doi.org/10.1142/9789812770622_0004

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.