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Possibilistic optimization in planning decision of construction industry

P.M., Vasant and N.N., Barsoum and A., Bhattacharya (2008) Possibilistic optimization in planning decision of construction industry. [Citation Index Journal]

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Abstract

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.

Item Type:Citation Index Journal
Uncontrolled Keywords:Computation theory; Construction industry; Decision making; Linear programming; Optimization; Uncertain systems; Level-of-satisfaction; Optimal solution; S-curve membership function; Strategic planning
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:409
Deposited By: Mr Helmi Iskandar Suito
Deposited On:09 Mar 2010 01:08
Last Modified:19 Jan 2017 08:26

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