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Horizontal membership function (HMF) for fuzzy membership function type with two parameters
Fuzzy Information and EngineeringMembership function (MF), also called vertical membership function (VMF), is an essential object of study in fuzzy concepts which models fuzzy sets using different sorts of data or fuzzy hypotheses.
Annisa Rahmita Soemarsono +2 more
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Clustering Algorithm Based on Data indeterminacy in Neutrosophic Set [PDF]
Neutrosophic Sets and Systems, 2022 Clustering research is an important field in machine learning, pattern recognition and other fields. The neutrosophic set characterizes the data through true membership functions, indeterminate membership functions and false membership functions.
Dan Zhang +4 more
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Methods for the Construction of Membership Functions [PDF]
International Journal of Intelligent Systems, 1999 Summary: In almost every work on fuzzy sets, the existence of membership functions taking part in the considered model is assumed and it is not studied in depth whether or not such functions exist. On the other hand, generally the relationship between a certain studied characteristic and its referential set is not problematic since it is usually a ...
Alejandro Sancho-Royo, José L. Verdegay
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International Journal of Interactive Multimedia and Artificial Intelligence, 2022 Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules.
Zohreh Anari +2 more
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Selection of Fuzzy Controller Membership Functions Based on Adaptive Gaussian Cloud Transform [PDF]
Xibei Gongye Daxue Xuebao, 2018 Aiming at the boundedness of existing methods of selecting membership functions, an adaptive Gaussian cloud transform algorithm which is guided by the threshold values of hybridization degree is proposed to construct concept hierarchy from original ...
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Dynamic Membership Functions for Context-Based Fuzzy Systems
IEEE Access, 2021 In fuzzy systems, membership functions determine the groups to which a variable can belong to, and these groups are static or only have one setting in some aspect.
Pablo Pancardo +3 more
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Finding Pareto-front Membership Functions in Fuzzy Data Mining [PDF]
International Journal of Computational Intelligence Systems, 2012 Transactions with quantitative values are commonly seen in real-world applications. Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases.
Chun-Hao Chen +2 more
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New relaxed stability and stabilization conditions for T‐S fuzzy systems with time‐varying delays
IET Control Theory & Applications, 2021 This paper investigates the stability analysis and stabilization of T‐S fuzzy systems with time‐varying delays. First, a new augmented Lyapunov–Krasovskii functional is constructed, delay‐dependent stability criteria in terms of linear matrix ...
Kun Zhou, Binrui Wang, Shunan Qi
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A Fuzzy Support Vector Machine Based on New Membership Function [PDF]
Jisuanji gongcheng, 2016 Membership functions of traditional Fuzzy Support Vector Machine(FSVM) are mostly designed based on the distance between the samples and the class centers,which decrease the effect of support vectors.This paper combines two membership functions and ...
LIU Kaimin,WU Xiaojun
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Influence of the type of membership functions of fuzzy variables on transient processes in an electric drive [PDF]
E3S Web of Conferences, 2021 The paper deals with the influence of the type of membership functions of fuzzy variables on transient processes in an electric drive. The membership functions of fuzzy variables of S-shaped type and triangular type are proposed for consideration.
Azimov R.A. +4 more
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