Regarding the set of all information sources as the universe of discourse, we used a nonnegative monotone set function deΓΏned on its power set to describe the importance of each individual information source and their varied combinations. Such a set function is called an importance measure or a fuzz
Sugeno integral of monotone functions based on Lebesgue measure
β Scribed by Yao Ouyang; Jinxuan Fang
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 230 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
β¦ Synopsis
RomΓ‘n-Flores et al. [H. RomΓ‘n-Flores, A. Flores-Franulic, Y. Chalco-Cano, The fuzzy integral for monotone functions, Applied Mathematics and Computation 185 (2007) 492-498] gave some optimal upper bounds for the Sugeno integral of continuous and strictly monotone functions and provided Yong-type inequalities for the Sugeno integral. These results are generalized to monotone functions in this paper. Two algorithms are given for calculating the Sugeno integral of monotone functions based on Lebesgue measure. Several illustrative examples are presented.
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