Results 21 to 30 of about 20,160 (306)
An approach to online identification of Takagi-Sugeno fuzzy models [PDF]
, 2004 An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning.
Angelov, Plamen +3 more
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Journal of Engineering and Applied Science, 2023 In this research, fuzzy linear regression (FLR) method combined with three well-known fuzzy implications was implemented for evaluating the relation among the amount of fly ash in concrete mixture and the compressive strength of concrete.
Fani Gkountakou, Basil Papadopoulos
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An Application of Classical Logic’s Laws in Formulas of Fuzzy Implications
Journal of Mathematics, 2020 The crucial role that fuzzy implications play in many applicable areas was our motivation to revisit the topic of them. In this paper, we apply classical logic’s laws such as De Morgan’s laws and the classical law of double negation in known formulas of ...
Dimitrios S. Grammatikopoulos +1 more
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Some notes on the category of fuzzy implications on bounded lattices [PDF]
, 2021 summary:In this paper, we introduce the product, coproduct, equalizer and coequalizer notions on the category of fuzzy implications on a bounded lattice that results in the existence of the limit, pullback, colimit and pushout.
Mashinchi, Mashaallah +2 more
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International Journal of Approximate Reasoning, 1987 In order to build expert systems and other human-behaviour-like systems one needs reasoning schemes that are richer than the classical two-valued logic. This paper starts with a linguistic justification that intermediate degrees of truth are needed. Up to an isomorphism the unit interval [0,1] with its natural order is taken as the domain of possible ...
Smets, Philippe, Magrez, Paul
openaire +2 more sources
Fuzzy decision implications: interpretation within fuzzy decision context
CAAI Transactions on Intelligence Technology, 2019 Fuzzy decision implication is an extension of decision implication in the fuzzy setting, serving to uncover the dependencies of fuzzy attributes.
Jing Zhang, Yanhui Zhai, Deyu Li
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A note on operations of hesitant fuzzy sets [PDF]
International Journal of Computational Intelligence Systems, 2015 In this paper, properties of operations and algebraic structures of hesitant fuzzy sets are investigated. Semilattices of hesitant fuzzy sets with union and intersection are discussed, respectively.
Zheng Pei, Liangzhong Yi
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Identification of critical factors for the implementation of reverse logistics in the manufacturing industry of Pakistan [PDF]
Journal of Defense Analytics and Logistics, 2021 Purpose – The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse, remanufacture, recycling, refurbishment and repair as alternatives for RL ...
Yousaf Ali +3 more
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A Method of Generating Fuzzy Implications from n Increasing Functions and n + 1 Negations
, 2020 In this paper, we introduce a new construction method of a fuzzy implication from n increasing functions g i : [ 0 , 1 ] → [ 0 , ∞ ) , ( g ( 0 ) = 0 ) ( i = 1 , 2 , … , n , n ∈ ℕ
Basil K. Papadopoulos, Maria N. Rapti
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On characterizations of fuzzy supra soft connected spaces
Cumhuriyet Science Journal, 2020 In this work, we initiate and study notion of connectedness for fuzzy supra soft topological spaces and present fundamentals properties. Moreover, we discuss its properties as well as with respect to fuzzy supra soft subspaces and fuzzy supra irresolute ...
Alaa Abd El-latıf
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