On possibility analysis of fuzzy data
โ Scribed by Miin-Shen Yang; Man-Chun Liu
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 646 KB
- Volume
- 94
- Category
- Article
- ISSN
- 0165-0114
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โฆ Synopsis
This paper addresses the analysis of fuzzy data from a possibilistic perspective. The concept of a double fuzzy variable is introduced and related notions are defined and investigated. The properties and fuzzy parameter estimation of the possibility distribution are also investigated. A maximum possibility likelihood principle is provided to estimate unknown fuzzy parameters. A normal possibility distribution is used as an example and estimates of its fuzzy parameters are given. The proposed possibility theory of fuzzy data constitutes a new approach to analyzing fuzzy data from a possibilistic point of view.
๐ SIMILAR VOLUMES
Based on the semantic equivalence degree the formal definitions of fuzzy functional dependencies (FFDs) and fuzzy multivalued dependencies (FMVDs) are first introduced to the fuzzy relational databases, where fuzziness of data appears in attribute values in the form of possibility attributions, as w