Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management

Expert Systems with Applications

Volumn 36, Issue 6, 2009, Pages 10120-10134

  Hanafizadeh, Payam ^a   Sherkat, Mohammad Hussein ^a  

^a ALLAMEH TABATABA'I UNIVERSITY   (Iran)

Author keywords

Fuzzy inference (FI); Genetic algorithm (GA); Multi agent system (MAS); Self organized maps (SOM); Supply chain management (SCM)

Indexed keywords

ALLOCATION PROBLEMS; CHAIN DISTRIBUTIONS; CROSS-FUNCTIONAL; DYNAMIC DISTRIBUTIONS; ENVIRONMENTAL CHANGES; HIGH FLEXIBILITIES; LEARNER MODELS; MULTI-AGENT SYSTEM (MAS); SELF ORGANIZED MAPS (SOM); SUPPLY CHAIN MANAGEMENT (SCM); SUPPLY CHAIN REQUIREMENTS; UNCERTAIN PARAMETERS;

DIELECTRIC RELAXATION; FUZZY INFERENCE; GENETIC ALGORITHMS; INFERENCE ENGINES; LOGISTICS; MULTI AGENT SYSTEMS; STRENGTH OF MATERIALS; SUPPLY CHAINS; UNCERTAINTY ANALYSIS;

SUPPLY CHAIN MANAGEMENT;

EID: 64049093004     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.01.008     Document Type: Article

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