Application of Weighted Additive Fuzzy Goal Programming Approach to Quality Control System Design
Author(s) -
Mohammed Mékidiche,
Mostefa Belmokaddem
Publication year - 2012
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2012.11.02
Subject(s) - computer science , goal programming , fuzzy logic , decision maker , quality (philosophy) , context (archaeology) , mathematical optimization , control (management) , preference , operations research , artificial intelligence , mathematics , philosophy , paleontology , statistics , biology , epistemology
The problem of decision-making in designing a quality control system (QCS), is one of the most difficult problems decisions facing the manager in the industrial firms , this problem of decision requires of fixing the levels of inputs and variables that meet the required output specifications. in the context of the problem a QCS, the parameters can be imprecise and expressed through intervals or fuzzy. The aim of this study is to presents the formulation for designing a QCS based on Weighted fuzzy goal programming (WAFGP) developed by Yaghoobi and Tamiz (12) and Yaghoobi et al (13), the advantage of the proposed formulation as a linear , use all types of membership functions and integrate explicitly the decision-maker's preference . Finally, we compare the results of our model with the major important mathematical models used in the QCS It has been shown that the best model.
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