eprintid: 492 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/04/92 datestamp: 2023-11-09 15:16:08 lastmod: 2023-11-09 15:16:08 status_changed: 2023-11-09 15:14:41 type: book metadata_visibility: show creators_name: Vasant, P. creators_name: Barsoum, N. creators_name: Kahraman, C. creators_name: Dimirovski, G.M. title: Application of fuzzy optimization in forecasting and planning of construction industry ispublished: pub keywords: Construction industry; Decision making; Intelligent computing; Linear programming; MATLAB; Optimal systems; Profitability, Fuzzy membership function; Fuzzy optimization; Level of satisfaction; Objective functions; Optimum parameters; Possibilistic linear programming; Uncertain environments; Worker satisfaction, Membership functions note: cited By 13 abstract: 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. © 2008, IGI Global. date: 2008 publisher: IGI Global official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869776821&doi=10.4018%2f978-1-59904-705-8.ch010&partnerID=40&md5=2c94624277ba56c993016db72d3462e0 id_number: 10.4018/978-1-59904-705-8.ch010 full_text_status: none publication: Artificial Intelligence for Advanced Problem Solving Techniques pagerange: 254-265 refereed: TRUE isbn: 9781599047058 citation: Vasant, P. and Barsoum, N. and Kahraman, C. and Dimirovski, G.M. (2008) Application of fuzzy optimization in forecasting and planning of construction industry. IGI Global, pp. 254-265. ISBN 9781599047058