Results 21 to 30 of about 68,709 (264)

Fuzzy logic based on Belief and Disbelief membership functions

open access: yesFuzzy 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
doaj   +1 more source

Membership Functions for Spatial Proximity [PDF]

open access: yes, 2006
Formalising nearness has been the subject of extensive work, resulting in many membership functions based on absolute distance metrics, relative distance metrics, and combinations of those. The possible strengths and weaknesses of these functions have been discussed and argued at length, but strangely enough, no experiment seems to have been conducted ...
Jane Brennan, Eric Martin 0002
openaire   +1 more source

Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones

open access: yesAxioms, 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
doaj   +1 more source

Multi-Objective Reliability Optimization using Fuzzy Nonlinear Programming with Interval Membership Functions and Bias Functions: A Comparison of Particle Swarm Optimization and Genetic Algorithm

open access: yesWasit 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

Why Cauchy Membership Functions: Efficiency

open access: yesAdvances in Artificial Intelligence and Machine Learning, 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.
Javier Viaña   +4 more
openaire   +2 more sources

Crisp set tuning of membership functions in fuzzy logic inference systems by probability density functions.

open access: yesZanco 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
doaj   +1 more source

PSO vs GA: A Comparative Study of Multi-Objective Reliability Optimization using Fuzzy Nonlinear Programming Functions

open access: yesWasit 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

Investigation of the influence of the symmetry of membership functions in the fuzzy controller on the quality of MPPT regulation in the photovoltaic system

open access: yesMATEC Web of Conferences, 2017
The paper presents the results of the investigation of the influence of asymmetric membership functions in a fuzzy controller on the quality of MPPT regulation in the photovoltaic system.
Gimazov Ruslan, Shidlovskiy Stanislav
doaj   +1 more source

Roughness in Membership Continuous Function

open access: yesمجلة المختار للعلوم, 2021
In this paper, we introduce the new definition of rough membership function using continuous function and we discuss several concepts and properties of rough continuous set value functions as new results on rough continuous function and membership ...
Faraj.A. Abdunani, Ahmed.A. Shletiet
doaj   +1 more source

FUZZY FUNCTIONS OF EXPERT KNOWLEDGE ENCAPSULATED WITHIN STATISTICAL WORKFLOW DATA [PDF]

open access: yesJournal of Engineering Science (Chişinău), 2020
Taking over the skills of the human expert will make it possible to develop decision-making algorithms in conditions of uncertainty for industrial applications.
CARBUNE, Viorel
doaj   +1 more source

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