Improving classification accuracy of project dispute resolution using hybrid artificial intelligence and support vector machine models

Expert Systems with Applications

Volumn 40, Issue 6, 2013, Pages 2263-2274

  Chou, Jui Sheng ^a   Cheng, Min Yuan ^a   Wu, Yu Wei ^a  

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

Author keywords

Classification; Construction management; Dispute resolutions; Fuzzy logic; Genetic algorithm; Hybrid intelligence; Support vector machines

Indexed keywords

ADMINISTRATIVE APPEALS; ARTIFICIAL INTELLIGENCE SYSTEMS; BASELINE MODELS; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; CONSTRUCTION KNOWLEDGE; CONSTRUCTION MANAGEMENT; CROSS VALIDATION; DISPUTE RESOLUTION; HYBRID INTELLIGENCE; MESSY GENETIC ALGORITHMS; MUTUALLY INDEPENDENTS; PROJECT EXECUTION; PUBLIC INFRASTRUCTURE PROJECT; PUBLIC PRIVATE PARTNERSHIPS; SUPPORT VECTOR;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); FUZZY LOGIC; GENETIC ALGORITHMS; LAWS AND LEGISLATION; PROJECT MANAGEMENT;

SUPPORT VECTOR MACHINES;

EID: 84872870175     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.10.036     Document Type: Article

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