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
Language:English
Published: 2008
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/409/
http://scholars.utp.edu.my/id/eprint/409/1/paper.pdf
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author P.M., Vasant
N.N., Barsoum
A., Bhattacharya
author_facet P.M., Vasant
N.N., Barsoum
A., Bhattacharya
author_sort P.M., Vasant
building UTP Institutional Repository
collection Online Access
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.
first_indexed 2025-11-13T07:23:07Z
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institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:23:07Z
publishDate 2008
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spelling oai:scholars.utp.edu.my:4092017-01-19T08:26:41Z http://scholars.utp.edu.my/id/eprint/409/ 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 en http://scholars.utp.edu.my/id/eprint/409/1/paper.pdf P.M., Vasant and N.N., Barsoum and A., Bhattacharya (2008) Possibilistic optimization in planning decision of construction industry. [Citation Index Journal] http://www.scopus.com/inward/record.url?eid=2-s2.0-37449018754&partnerID=40&md5=6e1ee6fe53e575ae1e9698620faebfee 10.1016/j.ijpe.2007.03.006 10.1016/j.ijpe.2007.03.006 10.1016/j.ijpe.2007.03.006
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
P.M., Vasant
N.N., Barsoum
A., Bhattacharya
Possibilistic optimization in planning decision of construction industry
title 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_short Possibilistic optimization in planning decision of construction industry
title_sort possibilistic optimization in planning decision of construction industry
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/409/
http://scholars.utp.edu.my/id/eprint/409/
http://scholars.utp.edu.my/id/eprint/409/
http://scholars.utp.edu.my/id/eprint/409/1/paper.pdf