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» Rule based fuzzy classification using squashing functions
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TFS
2008
230views more  TFS 2008»
13 years 7 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
FUZZIEEE
2007
IEEE
14 years 2 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
TFS
2008
90views more  TFS 2008»
13 years 7 months ago
Fuzzy Interpolation and Extrapolation: A Practical Approach
Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also makes inference in sparse rule-based systems possible. It has been successfully applied to...
Zhiheng Huang, Qiang Shen
JUCS
2010
176views more  JUCS 2010»
13 years 6 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying
PARMA
2004
174views Database» more  PARMA 2004»
13 years 9 months ago
Fuzzy Miner - A Fuzzy System for Solving Pattern Classification Problems
The purpose of this paper is to study the problem of pattern classification as this is presented in the context of data mining. Among the various approaches we focus on the use of ...
Nikos Pelekis, Babis Theodoulidis, Ioannis Kopanak...