Duffuaa, S. O. and Mujahid, S.N. Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function. 2007 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT. pp. 1204-1208.
|PDF (A research paper on : Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic and Genetic Algorithm with an Interval based Taguchi Cost Function)|
Official URL: http://isi.kfupm.edu.sa/proceedings/pdf/p/process_...
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:||Duffuaa, S. O. and Mujahid, S.N.|
|Deposited By:||SYED AMEENUDDIN HUSSAIN|
|Deposited On:||11 Jun 2008 10:39|
|Last Modified:||12 Apr 2011 13:11|
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