Measuring social emergencies through fuzzy qualitative comparative analysis: a calibration framework using normalized general continuous linguistic variables [PDF]
Frontiers in SociologySocial emergencies are complex societal phenomena characterized by nonlinear dynamics, multiple causality, and emergent properties that cannot be reduced to simple causal chains.
Noel Batista Hernandez +4 more
doaj +2 more sources
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
doaj +1 more source
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 ...
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Membership Functions for Fuzzy Focal Elements
Archives of Control Sciences, 2016 The paper presents a study on data-driven diagnostic rules, which are easy to interpret by human experts. To this end, the Dempster-Shafer theory extended for fuzzy focal elements is used.
Porębski Sebastian, Straszecka Ewa
doaj +1 more source