Mujahid, S.N. and Duffuaa, Salih Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function. ENGINEERING MANAGEMENT, 1-4. pp. 1204-1208.
|PDF (Paper Abstract: Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function)|
In this paper, a fuzzy based process targeting model is developed for a product with multi-characteristic. It is assumed that the desired quality characteristics cannot be measured directly and has to be calculated indirectly from multi-input process parameters. A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. The utility of the proposed model and algorithm is illustrated by a realistic example.
|Divisions:||College Of Computer Sciences and Engineering > Systems Engineering Dept|
|Creators:||Mujahid, S.N. and Duffuaa, Salih|
|Deposited By:||MR. ATIQ WALIULLAH SIDDIQUI|
|Deposited On:||11 Jun 2008 07:55|
|Last Modified:||12 Apr 2011 13:13|
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