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Home > Interpretability Issues in Fuzzy Modeling > A Feature Ranking Algorithm for Fuzzy Modelling Problems
Interpretability Issues in Fuzzy Modeling |
Jorge Casillas; O. Cordón; Francisco Herrera Triguero; Luis Magdalena
Springer Berlin Heidelberg
Interpretability Issues in Fuzzy Modeling
A Feature Ranking Algorithm for Fuzzy Modelling Problems
Authors

Domonkos Tikk; Tamás D. Gedeon; Kok Wai Wong

ARI Id

1664566503262_2230099

Access

Not Available Free

Pages

176-192

DOI

10.1007/978-3-540-37057-4_8

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-37057-4_8

Table of Contents of Book
Showing 1 to 20 of 35 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XIV
Front Matter
1-1
Interpretability Improvements to Find the Balance Interpretability-Accuracy in Fuzzy Modeling: An Overview
Jorge Casillas; Oscar Cordón; Francisco Herrera; Luis Magdalena
3-22
Front Matter
23-23
Regaining Comprehensibility of Approximative Fuzzy Models via the Use of Linguistic Hedges
Javier G. Marín-Blázquez; Qiang Shen
25-53
Identifying Flexible Structured Premises for Mining Concise Fuzzy Knowledge
N. Xiong; L. Litz
54-76
Front Matter
77-77
A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems
Oscar Cordón; María José Del Jesus; Francisco Herrera; Luis Magdalena; Pedro Villar
79-99
Extracting Linguistic Fuzzy Models from Numerical Data-AFRELI Algorithm
Jairo Espinosa; Joos Vandewalle
100-124
Constrained Optimization of Fuzzy Decision Trees
Pierre-Yves Glorennec
125-147
A new method for inducing a set of interpretable fuzzy partitions and fuzzy inference systems from data
Serge Guillaume; Brigitte Charnomordic
148-175
A Feature Ranking Algorithm for Fuzzy Modelling Problems
Domonkos Tikk; Tamás D. Gedeon; Kok Wai Wong
176-192
Interpretability in Multidimensional Classification
Vincent Vanhoucke; Rosaria Silipo
193-217
Front Matter
219-219
Interpretable Semi-Mechanistic Fuzzy Models by Clustering, OLS and FIS Model Reduction
Janos Abonyi; Hans Roubos; Robert Babuska; Ferenc Szeifert
221-248
Trade-off between approximation accuracy and complexity: TS controller design via HOSVD based complexity minimization
Péter Baranyi; Yeung Yam; Domonkos Tikk; Ron J. Patton
249-277
Simplification and reduction of fuzzy rules
Magne Setnes
278-302
Effect of Rule Representation in Rule Base Reduction
Thomas Sudkamp; Aaron Knapp; Jon Knapp
303-324
Singular Value-Based Fuzzy Reduction With Relaxed Normality Condition
Yeung Yam; Chi Tin Yang; Péter Baranyi
325-352
Front Matter
353-353
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 35 entries
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