Incorporation of user preference into multi-objective genetic fuzzy rule selection for pattern classification problems

2009 ◽  
Vol 14 (3) ◽  
pp. 418-421 ◽  
Author(s):  
Yusuke Nojima ◽  
Hisao Ishibuchi
Keyword(s):  
Pattern Classification ◽  
Fuzzy Rule ◽  
User Preference ◽  
Classification Problems ◽  
Multi Objective ◽  
Rule Selection ◽  
Selection For

Constructing Cost-Sensitive Fuzzy-Rule-Based Systems for Pattern Classification Problems

2007 ◽  
Vol 11 (6) ◽  
pp. 546-553 ◽  
Author(s):  
Tomoharu Nakashima ◽  
◽  
Yasuyuki Yokota ◽  
Hisao Ishibuchi ◽  
Gerald Schaefer ◽  
...  
Keyword(s):  
Pattern Classification ◽  
A Priori ◽  
Fuzzy Rule ◽  
Fuzzy Classification ◽  
Classification Error ◽  
Rule Generation ◽  
Classification Problems ◽  
Misclassification Cost ◽  
Rule Based ◽  
Rule Based Systems

We evaluate the performance of cost-sensitive fuzzy-rule-based systems for pattern classification problems. We assume that a misclassification cost is given a priori for each training pattern. The task of classification thus becomes to minimize both classification error and misclassification cost. We examine the performance of two types of fuzzy classification based on fuzzy if-then rules generated from training patterns. The difference is whether or not they consider misclassification costs in rule generation. In our computational experiments, we use several specifications of misclassification cost to evaluate the performance of the two classifiers. Experimental results show that both classification error and misclassification cost are reduced by considering the misclassification cost in fuzzy rule generation.

Voting in fuzzy rule-based systems for pattern classification problems

1999 ◽  
Vol 103 (2) ◽  
pp. 223-238 ◽  
Author(s):  
Hisao Ishibuchi ◽  
Tomoharu Nakashima ◽  
Takehiko Morisawa
Keyword(s):  
Pattern Classification ◽  
Fuzzy Rule ◽  
Classification Problems ◽  
Rule Based ◽  
Rule Based Systems
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