Application of fuzzy optimization in forecasting and planning of construction industry

Nader Nassif Barsoum, and Cengiz Kahraman, and Georgi Dimirovski, Application of fuzzy optimization in forecasting and planning of construction industry. IGI Global. pp. 254-265.


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This chapter proposes a new method to obtain optimal solution using satisfactory approach in uncertain environments. The optimal solution is obtained by using possibilistic linear programming approach and intelligent computing by MATLAB®. The optimal solution for profit function, index quality, and worker satisfaction index in the construction industry is considered. Decision makers and implementers tabulate the final possibilistic and realistic outcome for objective functions with respect to level of satisfaction and vagueness for forecasting and planning. When the decision maker finds the optimum parameters with acceptable degrees of satisfaction, the decision makes can apply the confidence of gaining much profit in terms of helping the public with high quality and low cost products. The proposed fuzzy membership function allows the implementer to find a better arrangement for the equipments in the production line to fulfill the wanted products in an optimum way.

Item Type: Article
Uncontrolled Keywords: Satisfactory approach , possibilistic linear programming approach
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: FACULTY > Faculty of Engineering
Depositing User: Unnamed user with email
Date Deposited: 06 Jan 2016 04:04
Last Modified: 13 Oct 2017 07:02

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