A classification-based Kansei engineering system for modeling consumers' affective responses and analyzing product form features

Expert Systems with Applications

Volumn 38, Issue 9, 2011, Pages 11382-11393

  Yang, Chih Chieh ^a  

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

Author keywords

Factor analysis (FA); Kansei engineering; Procrustes analysis (PA); Support vector machine (SVM); Support vector machine recursive feature elimination (SVM RFE)

Indexed keywords

AFFECTIVE RESPONSE; CLASS LABELS; CLASSIFICATION MODELS; CROSS VALIDATION; FACTOR ANALYSIS; KANSEI ENGINEERING; MULTICLASS SUPPORT VECTOR MACHINES; OPTIMAL TRAINING; PROCRUSTES ANALYSIS; PRODUCT DESIGNERS; PRODUCT FORM DESIGN; PRODUCT FORMS; RELATIVE IMPORTANCE; SUPPORT VECTOR MACHINE RECURSIVE FEATURE ELIMINATION (SVM-RFE); SUPPORT VECTOR MACHINE RECURSIVE FEATURE ELIMINATIONS; WEIGHT DISTRIBUTIONS;

CAMERAS; EXPERIMENTS; KNOWLEDGE BASED SYSTEMS; SUPPORT VECTOR MACHINES; SURVEYS; VECTORS;

PRODUCT DESIGN;

EID: 79955589495     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.03.008     Document Type: Article

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