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Influence of the membership functions number of fuzzy logic controller on the performances of dynamic systems [PDF]
Revista Română de Informatică și Automatică, 2023 The aim of this work is to study the influence of the number of membership functions (MF) of fuzzy logic controller (FLC) on the temporal performances of dynamical systems.
Abdelhamid DJARI
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Genetic optimization of fuzzy membership functions for cloud resource provisioning [PDF]
, 2016 The successful usage of fuzzy systems can be seen in many application domains owing to their capabilities to model complex systems by exploiting knowledge of domain experts.
Hussain, Amir +7 more
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ANALYSIS OF FUZZY QUEUES: PARAMETRIC PROGRAMMING APPROACH BASED ON RANDOMNESS - FUZZINESS CONSISTENCY PRINCIPLE [PDF]
Journal of Process Management and New Technologies, 2015 In this article, based on Zadeh’s extension principle we have apply the parametric programming approach to construct the membership functions of the performance measures when the interarrival time and the service time are fuzzy numbers based on the ...
Dhruba Das, Hemanta K. Baruah
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Why Cauchy Membership Functions: Efficiency [PDF]
, 2021 Fuzzy techniques depend heavily on eliciting meaningful membership functions for the fuzzy sets used. Often such functions are obtained from data. Just as often they are obtained from experts knowledgable of the domain and the problem being addressed ...
Ralescu, Anca +4 more
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Exact Membership Functions for the Fuzzy Weighted Average [PDF]
, 2011 The problem of computing the fuzzy weighted average, where both attributes and weights are fuzzy numbers, is well studied in the literature. Generally, the approach is to apply Zadeh’s extension principle to compute α-cuts of the fuzzy weighted average ...
Pim van den Broek +5 more
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Fuzzy logic based on Belief and Disbelief membership functions
Fuzzy Information and Engineering, 2017 Many theories are developed based on probability to deal with incomplete information. The fuzzy logic deals with belief rather than likelihood (probability). Zadeh first defined fuzzy set as a single membership function.
Poli Venkata Subba Reddy
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Axioms, 2019 The main ideas of F-transform came from representing expert rules. It would be therefore reasonable to expect that the more accurately the membership functions describe human reasoning, the more successful will be the corresponding F-transform formulas ...
Olga Kosheleva +2 more
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Wasit Journal for Pure Sciences, 2023 Multi-objective reliability optimization is a complex problem that involves simultaneously optimizing multiple objectives while ensuring that the system meets certain reliability requirements.
Ahmed Abdulhussein Jabbar +1 more
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Zanco Journal of Pure and Applied Sciences, 2019 Determination of threshold values of membership functions is one of the key stages in design of a fuzzy logic inference system. This paper presents a statistical-based method using probability density functions to simplify the construction of membership ...
Farshid Yari +2 more
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Wasit Journal for Pure Sciences, 2023 — Multi-objective reliability optimization is a complex problem that involves simultaneously optimizing multiple objectives while ensuring that the system meets certain reliability requirements.
Ahmed Abdulhussein Jabbar +1 more
doaj +1 more source