Optimal formation of fuzzy rule-base for predicting process's performance measures

Expert Systems with Applications

Volumn 38, Issue 5, 2011, Pages 4802-4808

  Iqbal, Asif ^a   Dar, Naeem Ullah ^b  

^a EASTERN MEDITERRANEAN UNIVERSITY   (Turkey)

^b UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

Author keywords

Fuzzy relations; Prediction; Simulated annealing algorithm; Surface roughness; Turning

Indexed keywords

ACCURATE PREDICTION; EXPERIMENTAL DATA; FUZZY RELATIONS; FUZZY RULE-BASE; FUZZY RULE-BASED SYSTEMS; HIGH COSTS; INPUT PARAMETER; PERFORMANCE MEASURE; PHYSICAL PROCESS; PREDICTION; PREDICTION CAPABILITY; RULE BASE; RULE BASED SYSTEM; SIMULATED ANNEALING ALGORITHM; SIMULATED ANNEALING ALGORITHMS; TURNING PROCESS; TWO STAGE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FORECASTING; FUZZY RULES; FUZZY SETS; SURFACE PROPERTIES; SURFACE ROUGHNESS;

SIMULATED ANNEALING;

EID: 79151484905     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.166     Document Type: Article

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