Possibilistic optimization in planning decision of construction industry

This paper proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and MATLAB<sup>®</sup> computation. The possibilistic linear programming approach uses mo...

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Main Authors: P.M., Vasant, N.N., Barsoum, A., Bhattacharya
Format: Citation Index Journal
Published: 2008
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Online Access:http://eprints.utp.edu.my/409/1/paper.pdf
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spelling my.utp.eprints.4092017-01-19T08:26:41Z Possibilistic optimization in planning decision of construction industry P.M., Vasant N.N., Barsoum A., Bhattacharya TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and MATLAB<sup>®</sup> computation. The possibilistic linear programming approach uses modified S-curve membership function (MF). The developed model is applied to a construction industry's problem adopted from Lazarevic and Abraham [2003. Hybrid fuzzy-linear programming approach for multicriteria decision making problems. International Journal of Neural, Parallel and Scientific Computations, 11, 53-68]. Profit function, index of work quality and worker satisfaction index of the construction industry are considered for the optimal solution. Decision maker (DM) and implementer visualize final possibilistic and realistic outcome for objective functions under disparate level-of-satisfaction of the DM and vagueness hidden in the decision made for such planning decision. © 2007 Elsevier B.V. All rights reserved. 2008 Citation Index Journal NonPeerReviewed application/pdf http://eprints.utp.edu.my/409/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-37449018754&partnerID=40&md5=6e1ee6fe53e575ae1e9698620faebfee P.M., Vasant and N.N., Barsoum and A., Bhattacharya (2008) Possibilistic optimization in planning decision of construction industry. [Citation Index Journal] http://eprints.utp.edu.my/409/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
P.M., Vasant
N.N., Barsoum
A., Bhattacharya
Possibilistic optimization in planning decision of construction industry
description This paper proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and MATLAB<sup>®</sup> computation. The possibilistic linear programming approach uses modified S-curve membership function (MF). The developed model is applied to a construction industry's problem adopted from Lazarevic and Abraham [2003. Hybrid fuzzy-linear programming approach for multicriteria decision making problems. International Journal of Neural, Parallel and Scientific Computations, 11, 53-68]. Profit function, index of work quality and worker satisfaction index of the construction industry are considered for the optimal solution. Decision maker (DM) and implementer visualize final possibilistic and realistic outcome for objective functions under disparate level-of-satisfaction of the DM and vagueness hidden in the decision made for such planning decision. © 2007 Elsevier B.V. All rights reserved.
format Citation Index Journal
author P.M., Vasant
N.N., Barsoum
A., Bhattacharya
author_facet P.M., Vasant
N.N., Barsoum
A., Bhattacharya
author_sort P.M., Vasant
title Possibilistic optimization in planning decision of construction industry
title_short Possibilistic optimization in planning decision of construction industry
title_full Possibilistic optimization in planning decision of construction industry
title_fullStr Possibilistic optimization in planning decision of construction industry
title_full_unstemmed Possibilistic optimization in planning decision of construction industry
title_sort possibilistic optimization in planning decision of construction industry
publishDate 2008
url http://eprints.utp.edu.my/409/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-37449018754&partnerID=40&md5=6e1ee6fe53e575ae1e9698620faebfee
http://eprints.utp.edu.my/409/
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score 13.211869