In assigning weights and scores in a decision problem usually we assume that they are finitely additive normalized measures, i.e., from the formal point of view, finitely additive probabilities. The normalization requirement sometimes appears as an actual restriction. For instance, it happens when t
Fuzzy coherence measures
β Scribed by A. Sancho-Royo; J. L. Verdegay
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 125 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
β¦ Synopsis
Coherence measures are a tool to compare those fuzzy sets that are sensitive to their own similarity as well as to their fuzzy nature. Within this article we can find three generalizations made about the definition of coherence measures: a first one for any fuzzy set, a second one for any definition about strong negation, and a final one for an extension in those coherence measures that, as a result, do not cause a value in the unit interval, but a fuzzy set in that interval. Tools and properties are offered to create coherence measures.
π SIMILAR VOLUMES
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