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Fuzzy t-conorm integral with respect to fuzzy measures: Generalization of Sugeno integral and Choquet integral

โœ Scribed by T. Murofushi; M. Sugeno


Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
610 KB
Volume
42
Category
Article
ISSN
0165-0114

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๐Ÿ“œ SIMILAR VOLUMES


Choquet integral and fuzzy measures on l
โœ Michio Sugeno; Yasuo Narukawa; Toshiaki Murofushi ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 372 KB

The concept of outer regular fuzzy measures is proposed, and it is shown that a functional of certain type on the cone of positive continuous functions with compact supports is represented as a Choquet integral with respect to a outer regular fuzzy measure. It is also shown that the Choquet integral

Fuzzy number fuzzy measures and fuzzy in
โœ Congxin Wu; Deli Zhang; Caimei Guo; Cong Wu ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 333 KB

This paper, based on the fuzzy measures and fuzzy integrals given by Sugeno, first defines interval number fuzzy measures (INF-measures) and fuzzy number fuzzy measures (FNF-measures), and the fuzzy integral of function with respect to INF-measures are given. Then it defines the fuzzy integral of fu

Fuzzy number fuzzy measures and fuzzy in
โœ Congxin Wu; Deli Zhang; Bokan Zhang; Caimei Guo ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 266 KB

This is a subsequent paper of [9]. By using the concepts of fuzzy number fuzzy measures [9] and fuzzy-valued functions [10], a theory of fuzzy integrals of fuzzy-valued functions with respect to fuzzy number fuzzy measures is built up. So far, it is a more general one following Sugeno's [5].

Extensions of fuzzy measures and Sugeno
โœ Antoon Bronselaer; Axel Hallez; Guy De Trรฉ ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 187 KB

The Sugeno integral has been identified and used as an aggregation operator many times in the past. In this paper, an extension of the Sugeno integral for the framework of possibilistic truth values is presented, resulting in a powerful domain-specific aggregation operator. Next, it is shown how the