DocumentCode
226537
Title
Estimations, convergences and comparisons on fuzzy integrals of Sugeno, Choquet and Gould type
Author
Croitoru, Anca ; Mastorakis, Nikos
Author_Institution
Fac. of Math., Al.I. Cuza Univ., Iaşi, Romania
fYear
2014
fDate
6-11 July 2014
Firstpage
1205
Lastpage
1212
Abstract
The subject of this paper concerns fuzzy integrals and fuzzy convergences. The first topic consists of presenting some relationships among different types of integrals of multi-functions relative to a fuzzy measure such as the strong and the weak Sugeno type integrals, the Aumann-Gould integral and the Dunford integral. A new estimation result on the strong integral is also established. Secondly, we present new connections among different types of integrals of real functions relative to a fuzzy measure such as the Gould integral, the Birkhoff integral, the Choquet integral and the non-linear integrals introduced in [30], [31]. Then we focus on establishing new links among different types of fuzzy convergences for sequences of multifunctions with respect to a fuzzy (or a non-additive) measure such as almost everywhere convergence, pseudo-almost everywhere convergence, almost uniformly convergence, pseudo-almost uniformly convergence, mean convergence and convergence in measure. In the end, we emphasize some applications of fuzzy integrals and fuzzy convergences, for example, in accident rate predictions, in subjective evaluations etc.
Keywords
convergence; fuzzy set theory; integral equations; Aumann-Gould integral; Birkhoff integral; Choquet integral; Dunford integral; Sugeno type integrals; almost everywhere convergence; almost uniformly convergence; convergence-in-measure; fuzzy convergences; fuzzy integrals; mean convergence; multifunction integrals; nonlinear integrals; pseudo-almost everywhere convergence; pseudo-almost uniformly convergence; real function integrals; Accidents; Additives; Atomic measurements; Convergence; Educational institutions; Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-2073-0
Type
conf
DOI
10.1109/FUZZ-IEEE.2014.6891590
Filename
6891590
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