Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on transformation techniques

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 6, Issue , 2008, Pages 3613-3619

  Ko, Yuan Kai ^a   Chen, Shyi Ming ^a,b   Pan, Jeng Shyang ^c  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b JINWEN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

cuts and transformation techniques; Sparse fuzzy rule based systems; Weighted fuzzy interpolative reasoning; Weighted increment transformations; Weighted ratio transformations

Indexed keywords

CONTROL THEORY; CYBERNETICS; FUZZY SETS; LEARNING SYSTEMS; ROBOT LEARNING; SUPPORT VECTOR MACHINES;

ANTECEDENT VARIABLES; SPARSE FUZZY RULE-BASED SYSTEMS; WEIGHTED FUZZY INTERPOLATIVE REASONING; WEIGHTED INCREMENT TRANSFORMATIONS; WEIGHTED RATIO TRANSFORMATIONS; WEIGHTING FACTORS;

FUZZY RULES;

EID: 57849105995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4621031     Document Type: Conference Paper

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