Results 241 to 250 of about 4,168,110 (322)

Adaptive fuzzy-PI controlled dynamic voltage restorer for mitigating voltage sags. [PDF]

open access: yesSci Rep
Mallick N   +5 more
europepmc   +1 more source

FUZZY POWER SETS AND FUZZY IMPLICATION OPERATORS

Fuzzy Sets and Systems, 1980
The theory of fuzzy power sets, which has hitherto been insufficiently developed, is shown very naturally to require the use of a fuzzy implication operator (Section 1). Six such operators are gathered from the literature on multiple-valued logic (Section 2), and their effects on fuzzy power-set theory are compared throughout the rest of the paper ...
W. Bandler, L. Kohout
semanticscholar   +4 more sources

Characterization of a Class of Fuzzy Implication Functions Satisfying the Law of Importation With Respect to a Fixed Uninorm—Part I

IEEE Transactions on Fuzzy Systems, 2018
The law of importation is an important property of fuzzy implication functions with interesting applications in approximate reasoning and image processing.
S. Massanet   +2 more
semanticscholar   +3 more sources

On the Distributive Laws of Fuzzy Implication Functions Over Additively Generated Overlap and Grouping Functions

IEEE Transactions on Fuzzy Systems, 2018
Overlap and grouping functions have been proposed by Bustince et al. for applications in image processing, classification problems, and decision making based on fuzzy preference relations.
Junsheng Qiao, B. Hu
semanticscholar   +3 more sources

Characterization of a Class of Fuzzy Implication Functions Satisfying the Law of Importation With Respect to a Fixed Uninorm—Part II

IEEE Transactions on Fuzzy Systems, 2018
The law of importation is an important property of fuzzy implication functions because of its interesting applications in approximate reasoning and image processing. In this paper, as a continuation of the paper [S. Massanet, D.
S. Massanet   +2 more
semanticscholar   +3 more sources

Fuzzy Rough Attribute Reduction Based on Fuzzy Implication Granularity Information

IEEE Transactions on Fuzzy Systems
Fuzzy rough set model is a powerful tool for handling attribute reduction tasks for complex data. While the fuzzy rough set model commonly employs fuzzy information entropy to measure attribute uncertainty, utilizing fuzzy conditional information entropy
Jianhua Dai, Zhilin Zhu, Xiongtao Zou
semanticscholar   +3 more sources

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