MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING

The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper, the modified S-curve membership function and its methodology in solving real life problems are discussed. In the second part of...

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Main Author: Pandian M Vasant
Format: Article
Language:English
Published: UUM Press 2003-11-01
Series:Journal of ICT
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/8022
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author Pandian M Vasant
author_facet Pandian M Vasant
author_sort Pandian M Vasant
collection DOAJ
description The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper, the modified S-curve membership function and its methodology in solving real life problems are discussed. In the second part of the paper, the computation of fuzzy linear programming approach is made. Lastly, the usefulness of the modified S-curve membership function is established using a real life industrial production planning of a chocolate manufacturing unit. The unit produces 8 products using 8 raw materials, mix in various proportions by 9 different processes under 29 constraints. A solution to this problem is achieved, thus establishing the usefulness of the suggested membership function for decision making in maximizing objective function. From the theory and numerical results, it can be seen that the method presented here for solving a system of fuzzy mix product selection problem with modified S-curve membership function is very promising.  
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spelling doaj.art-61a8f383f48c492994b128e8dd84e8262022-12-22T02:48:57ZengUUM PressJournal of ICT1675-414X2180-38622003-11-0122MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMINGPandian M Vasant0Nilai International College, Malaysia The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper, the modified S-curve membership function and its methodology in solving real life problems are discussed. In the second part of the paper, the computation of fuzzy linear programming approach is made. Lastly, the usefulness of the modified S-curve membership function is established using a real life industrial production planning of a chocolate manufacturing unit. The unit produces 8 products using 8 raw materials, mix in various proportions by 9 different processes under 29 constraints. A solution to this problem is achieved, thus establishing the usefulness of the suggested membership function for decision making in maximizing objective function. From the theory and numerical results, it can be seen that the method presented here for solving a system of fuzzy mix product selection problem with modified S-curve membership function is very promising.   https://e-journal.uum.edu.my/index.php/jict/article/view/8022
spellingShingle Pandian M Vasant
MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING
Journal of ICT
title MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING
title_full MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING
title_fullStr MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING
title_full_unstemmed MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING
title_short MODIFIED S-CURVE MEMBERSHIP FUNCTION AND ITS APPLICATION TO FUZZY LINEAR PROGRAMMING
title_sort modified s curve membership function and its application to fuzzy linear programming
url https://e-journal.uum.edu.my/index.php/jict/article/view/8022
work_keys_str_mv AT pandianmvasant modifiedscurvemembershipfunctionanditsapplicationtofuzzylinearprogramming