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EGICE
2006
13 years 9 months ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...
TFS
2008
230views more  TFS 2008»
13 years 5 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....
PREMI
2005
Springer
13 years 10 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
MLMTA
2003
13 years 6 months ago
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers
— This work shows comparatively the capacity of five Fuzzy Lattice Neurocomputing (FLN) classifiers. The mechanics of the five classifiers are illustrated geometrically on the pl...
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, ...
IWDC
2004
Springer
120views Communications» more  IWDC 2004»
13 years 10 months ago
SCIDS: A Soft Computing Intrusion Detection System
An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. Th...
Ajith Abraham, Ravi Jain, Sugata Sanyal, Sang-Yong...