The concepts of fuzzy random variable, and the associated fuzzy expected value, have been introduced by Purl and Ralescu as an extension of measurable set-valued functions (random sets), and of the Aumann integral of these functions, respectively. On the other hand, the 2-average function has been s
The λ→-mean squared dispersion associated with a fuzzy random variable
✍ Scribed by Marı́a Asunción Lubiano; Marı́a Angeles Gil; Miguel López-Dı́az; Marı́a Teresa López
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 121 KB
- Volume
- 111
- Category
- Article
- ISSN
- 0165-0114
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✦ Synopsis
In this paper we introduce a parameterized real-valued measure of the mean dispersion of a fuzzy random variable with respect to an arbitrary fuzzy number. This measure extends the second moment of a classical random variable, and is based on a parameterized distance between fuzzy numbers. Properties of the measure presented are analyzed, and the extension of the variance of a classical random variable, which particularizes the mean squared dispersion, is also examined. Some examples illustrating the computation and possible applications of the measure are included. Finally, a brief discussion about the interest of using a parameterized distance, and about some future directions of this study, is developed.
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