Contextual Improvement Planning by Fuzzy-Rough Machine Learning: A Novel Bipolar Approach for Business Analytics

International Journal of Fuzzy Systems

Volumn 18, Issue 6, 2016, Pages 940-955

  Shen, Kao Yi ^a   Tzeng, Gwo Hshiung ^b  

^a CHINESE CULTURE UNIVERSITY   (Taiwan)

^b NATIONAL TAIPEI UNIVERSITY   (Taiwan)

Author keywords

Bipolar decision model; Business analytics (BA); Dominance based rough set approach (DRSA); Fuzzy rough machine learning; Modified VIKOR method; Multiple attribute decision making (MADM)

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; ROUGH SET THEORY;

BIPOLAR DECISION MODEL; BIPOLAR DECISIONS; BUSINESS ANALYTIC; BUSINESS ANALYTICS; DECISION MODELING; DOMINANCE-BASED ROUGH SET APPROACH; DOMINANCE-BASED ROUGH SETS; FUZZY-ROUGH MACHINE LEARNING; MACHINE-LEARNING; MODIFIED VIKOR METHOD; MULTIPLE ATTRIBUTE DECISION MAKING; SETS APPROACH;

DECISION MAKING;

EID: 84996563858     PISSN: 15622479     EISSN: 21993211     Source Type: Journal    
DOI: 10.1007/s40815-016-0215-8     Document Type: Article

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