Possibilistic optimization in planning decision of construction industry

Vasant, P.M. and Barsoum, N.N. and Bhattacharya, A. (2008) Possibilistic optimization in planning decision of construction industry. International Journal of Production Economics, 111 (2). pp. 664-675. ISSN 09255273

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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® 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: Article
Additional Information: cited By 10
Uncontrolled Keywords: Computation theory; Construction industry; Decision making; Linear programming; Optimization; Uncertain systems, Level-of-satisfaction; Optimal solution; S-curve membership function, Strategic planning
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:16
Last Modified: 09 Nov 2023 15:16
URI: https://khub.utp.edu.my/scholars/id/eprint/481

Actions (login required)

View Item
View Item