Fuzzy random measure and its extension theorem
โ Scribed by Liu Dsosu; Cheng Shaozhong
- Publisher
- Elsevier Science
- Year
- 1983
- Tongue
- English
- Weight
- 703 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0165-0114
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โฆ Synopsis
The goal of this paper is to introduce random measures into fuzzy u-algebras. The structure of random measures of fuzzy sets is studied. Extension theorems of random measure on fuzzy algebras to the generated u-algebras are founded. It shows that Bochner integrals with respect to measures of fuzzy sets can be used to express random measures of fuzzy sets. If it turns out that random measures have their fuzzy meanings then this paper presents a way to deal with fuzzy measures of fuzzy sets by use of a classical mathematical method, such as measure theory, functional analysis and topology.
๐ SIMILAR VOLUMES
The fuzzy set was introduced by Zadeh (1965) and the concept of fuzzy random variables was provided by Kwakernaak (1981). Sequences of independent and identical distributed fuzzy random variables were considered by Kruse (1982). He also showed the strong law of large numbers for fuzzy random variabl
In this paper we discuss the properties of fuzzy random variables and fuzzy conditional expectation. Some extended results of dominated convergence theorems for fuzzy random variables are proved. We define the concept of a right-closed fuzzy martingale and give the necessary and sufficient condition