RST-BatMiner: A fuzzy rule miner integrating rough set feature selection and Bat optimization for detection of diabetes disease

Applied Soft Computing Journal

Volumn 67, Issue , 2018, Pages 764-780

  Cheruku, Ramalingaswamy ^a   Edla, Damodar Reddy ^a   Kuppili, Venkatanareshbabu ^a   Dharavath, Ramesh ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY GOA   (India)

^b INDIAN SCHOOL OF MINES   (India)

Author keywords

Bat optimization; Diabetes diagnosis; Fuzzy classification rules; Optimal ruleset; Rough Set Theory

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DECISION SUPPORT SYSTEMS; DECISION THEORY; DIAGNOSIS; DISEASES; FUZZY INFERENCE; FUZZY RULES; FUZZY SYSTEMS; MINERS; OPTIMIZATION; SET THEORY; WINE;

DIABETES DIAGNOSIS; FUZZY CLASSIFICATION RULE; FUZZY RULE BASED CLASSIFICATION SYSTEMS; GENERALIZATION CAPABILITY; HYBRID DECISION SUPPORT SYSTEMS; OPTIMAL RULESET; OPTIMIZATION ALGORITHMS; RULE MINING TECHNIQUES;

ROUGH SET THEORY;

EID: 85021830725     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2017.06.032     Document Type: Article

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