relation: https://khub.utp.edu.my/scholars/481/
title: Possibilistic optimization in planning decision of construction industry
creator: Vasant, P.M.
creator: Barsoum, N.N.
creator: Bhattacharya, A.
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® 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.
date: 2008
type: Article
type: PeerReviewed
identifier:   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     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-37449018754&doi=10.1016%2fj.ijpe.2007.03.006&partnerID=40&md5=9533e89702d080ea7de4f75805b915fa
relation: 10.1016/j.ijpe.2007.03.006
identifier: 10.1016/j.ijpe.2007.03.006