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On the reliability of the influence measure in the transformation method of fuzzy arithmetic

โœ Scribed by Michael Hanss; Andreas Klimke


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
792 KB
Volume
143
Category
Article
ISSN
0165-0114

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โœฆ Synopsis


The transformation method has been proposed as a practical tool for the simulation and the analysis of systems with uncertain parameters using fuzzy arithmetic. A major advantage of this method, among others, is the fact that in the analysis part of the method the degree of in uence for each uncertain parameter can be computed with a rather simple formula. However, a thorough examination of how accurate this measure of the degree of in uence really is has not yet been performed. In the paper, the in uence measure provided by the transformation method is compared to a rather classical, analytical approach based on di erential calculus. Furthermore, an additional measure is introduced which can serve as an indicator for the e ectiveness and the reliability of the in uence measure calculated by the transformation method.


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On the completeness of fuzzy measure-spa
โœ Yian-Kui Liu; Guang-Quan Zhang ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 394 KB

In this paper, we first discuss the completeness of fuzzy measure space. The measurability of analytic sets is also discussed in fuzzy measure space. In the last part of the paper a measurable projection theorem is proved.