DocumentCode :
1700082
Title :
A Survey on Interpretability-Accuracy (I-A) Trade-Off in Evolutionary Fuzzy Systems
Author :
Shukla, Praveen Kumar ; Tripathi, Surya Prakash
Author_Institution :
Dept. of Inf. Technol., Northern India Eng. Coll., Lucknow, India
fYear :
2011
Firstpage :
97
Lastpage :
101
Abstract :
Obtaining high degree of Interpretability and Accuracy in the design of complex high dimensional fuzzy systems is contradictory in nature. It is well known by Interpretability-Accuracy (I-A) Trade-Off. Several methods have been proposed to find good I-A Trade-Off. These includes Multi objective Optimization, Context Adaptation, Hierarchical Fuzzy Modeling and other issues related to fuzzy partition, membership functions, rules, rule bases etc. This paper is the survey of different approaches developed regarding the issue of I-A Trade-Off in designing fuzzy systems in the last decade. Also, the techniques for assessing the interpretability and accuracy have been surveyed.
Keywords :
fuzzy set theory; fuzzy systems; optimisation; context adaptation; evolutionary fuzzy systems; fuzzy partition; hierarchical fuzzy modeling; interpretability-accuracy trade-off; membership functions; multiobjective optimization; Accuracy; Complexity theory; Context; Fuzzy systems; Genetics; Optimization; Pragmatics; Fuzzy Rule Based Classifier Systems (FRBCS); Fuzzy Rule Based Systems (FRBS); Interpretability-Accuracy (I-A) Trade-Off; Multi Objective Genetic Algorithms (MOGA); Multiobjective Evolutionary Algorithm (MOEA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4577-0817-6
Electronic_ISBN :
978-0-7695-4449-6
Type :
conf
DOI :
10.1109/ICGEC.2011.32
Filename :
6042727
Link To Document :
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