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COMPUTING FUZZY INTEGRAL OF THE BASIS OF FUZZY MESURE
Author(s) -
Holida Primova,
Dilshodbek Sotvoldiyev,
Rustam Raximov,
X. Bobabekova
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1441/1/012161
Subject(s) - fuzzy logic , fuzzy measure theory , measure (data warehouse) , basis (linear algebra) , fuzzy number , mathematics , fuzzy classification , convolution (computer science) , computer science , fuzzy set , membership function , fuzzy set operations , interconnection , algebra over a field , artificial intelligence , data mining , pure mathematics , geometry , artificial neural network , computer network
The fuzzy integral of a function with a fuzzy measure is a general estimate in the form of a nonlinear convolution of particular estimates of information elements, and the possibility of interconnection of information elements is not excluded. Here is an approach that allows the expert to best formalize his fuzzy ideas, transforming the language of words into a language of quantitative estimates.

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