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Energy Science &Engineering, Volume 14, Issue 5, Page 2626-2643, May 2026.A fuzzy logic–based diagnostic framework for a reduced device count multilevel inverter to accurately detect and classify open‐circuit faults. ABSTRACT The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle ...
Niraj Kumar Dewangan +4 more
wiley +1 more source
Fuzzification of the equivalent criteria values for evaluating suppliers.
Fuzzification of the equivalent criteria values for evaluating suppliers.
Ghazi M. Magableh (18404449)
core +1 more source
Linguistic Variables of Type-N. A Mathematical Model
Trends in Computational and Applied Mathematics, 2011 - Abstract: This work proposes a generalization for the notions of Linguistic Variables and Fuzzification Process. The idea is to provide a concept of fuzzy systems in which the linguistic terms of a linguistic variable are not necessarily connected
Regivan Hugo Nunes Santiago +1 more
doaj +1 more source
ON EXPERT INFORMATION FUZZIFICATION METHOD
Advanced Engineering Research, 2012 The focal points of the fuzzif ication method under the fuzzy expert data processing for the logical deduction co nstruction in expert systems are considered. The model pattern of the method application is given.
Valery P. Dimitrov +2 more
doaj
Fuzzification Methods and Prediction Accuracy of Fuzzy Autocorrelation Model
, 2017 The fuzzy autocorrelation model is a fuzzified autoregressive (AR) model. The aim of the fuzzy autocorrelation model is to describe the possible states of the system with high accuracy.
null null, Yoshiyuki Yabuuchi
core +1 more source
, 2022 Fuzzy model procedures for FHI estimation: (i) Fuzzification (Fuzzify inputs); (ii) Inference Engines or Fuzzy If-Then Rules; (iii) Defuzzification.
Maneesh Jaiswal (13215265) +6 more
core +1 more source
Implementation of Vague-Fuzzification using Vague Sets
, 2014 A mathematical procedure used to convert an element in the universe of discourse into the membership value of the fuzzy set is termed as fuzzification.
Supriya Raheja, Priya Hooda
core
Input space selective fuzzification in intuitionistic semi fuzzy-neural network
, 2016 In this paper, the influence of the selective fuzzification of the input space in Intuitionistic Semi-Fuzzy Neural Network (ISFNN) is investigated. The ISFNN represents a structure modification of the classical fuzzy-neural approach where selective ...
Olteanu, Marius +5 more
core +1 more source
Hybrid approach using fuzzy sets and extreme learning machine for classifying clinical datasets
Informatics in Medicine Unlocked, 2016 Data mining techniques play a major role in developing computer aided diagnosis systems and expert systems that will aid a physician in clinical decision making.
Kindie Biredagn Nahato +2 more
doaj +1 more source
Two approaches to fuzzification of payments in NTU coalitional game [PDF]
, 2002 There exist several possibilities of fuzzification of a coalitional game. It is quite usual to fuzzify, e.\,g., the concept of coalition, as it was done in [1]. Another possibility is to fuzzify the expected pay-offs, see [3,4]. The latter possibility
Mareš, Milan
core +2 more sources