The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition

Pattern Recognition

Volumn 41, Issue 12, 2008, Pages 3720-3735

  Pedrycz, W ^a,b   Park, B J ^c   Oh, S K ^d  

^a UNIVERSITY OF ALBERTA   (Canada)

^b POLISH ACADEMY OF SCIENCES   (Poland)

^c Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^d Suwon University   (South Korea)

Author keywords

Core and secondary structure of patterns; DBSCAN; Granular classifier; Hyperboxes; Membership functions; Separability index

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; CLUSTERING ALGORITHMS; DECISION SUPPORT SYSTEMS; DIFFERENTIATION (CALCULUS); ERROR ANALYSIS; FEATURE EXTRACTION; FORMING; FUZZY SETS; INFORMATION MANAGEMENT; KETONES; LEARNING SYSTEMS; MATHEMATICAL TECHNIQUES; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PATTERN RECOGNITION; SEARCH ENGINES; STRUCTURAL OPTIMIZATION;

CARTESIAN PRODUCTS; CLASSIFICATION ERRORS; CORE AND SECONDARY STRUCTURE OF PATTERNS; CORE STRUCTURES; DBSCAN; FEATURE SPACES; GRANULAR CLASSIFIER; GRANULAR COMPUTING; HAUSDORFF DISTANCE; HYPERBOXES; INFORMATION GRANULES; KEY TECHNOLOGIES; MEMBERSHIP VALUES; OPTIMIZ ATION PROBLEMS; SECONDARY STRUCTURES; SEPARABILITY INDEX; TWO STAGES; ZERO VALUES;

SET THEORY;

EID: 49449100455     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.06.004     Document Type: Article

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