Two kinds of fuzziness in attribute values of the fuzzy relational databases can be distinguished: One is that attribute values are possibility distributions, and the other is that there are resemblance relations in attribute domains. The fuzzy relational databases containing these two kinds of fuzz
Implicit predicates for handling disjunctive fuzzy information in fuzzy databases
โ Scribed by Jae Dong Yang
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 161 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0884-8173
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โฆ Synopsis
There are two aspects of uncertainty: vagueness and ambiguity. This paper proposes IP (Implicit Predicate) to support both vagueness and ambiguity in fuzzy databases by allowing disjunctive fuzzy information. IP is basically a descriptor dedicated to an unknown value which turns out to be ambiguous as well as vague in nature. In this paper we demonstrate that IP is a promising construct which can not only deal with disjunctive fuzzy information, but also make a sophisticated concept-based match possible by coupling thesauri with fuzzy databases. We also propose a query evaluation mechanism to derive exact answers from the disjunctive fuzzy information by fully exploiting IPs.
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