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Membership Functions for Fuzzy Focal Elements [PDF]

open access: yesArchives 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   +2 more sources

Euro membership and fiscal reaction functions : [Version 10 May 2013] [PDF]

open access: yesSSRN Electronic Journal, 2013
The paper uses fiscal reaction functions for a panel of euro-area countries to investigate whether euro membership has reduced the responsiveness of countries to shocks in the level of inherited debt compared to the period prior to succession to the euro.
Weichenrieder, Alfons J., Zimmer, Jochen
core   +12 more sources

Horizontal membership function (HMF) for fuzzy membership function type with two parameters

open access: yesFuzzy Information and Engineering
Membership 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
doaj   +2 more sources

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   +2 more sources

Clustering Algorithm Based on Data indeterminacy in Neutrosophic Set [PDF]

open access: yesNeutrosophic 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

Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata

open access: yesInternational 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.
Z. Anari, A. Hatamlou, B. Anari
doaj   +1 more source

Dynamic Membership Functions for Context-Based Fuzzy Systems

open access: yesIEEE 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

Selection of Fuzzy Controller Membership Functions Based on Adaptive Gaussian Cloud Transform [PDF]

open access: yesXibei 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

Finding Pareto-front Membership Functions in Fuzzy Data Mining [PDF]

open access: yesInternational 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

New relaxed stability and stabilization conditions for T‐S fuzzy systems with time‐varying delays

open access: yesIET 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

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