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dc.contributor.authorVasant, P.
dc.contributor.authorBarsoum, Nader
dc.contributor.authorKahraman, C.
dc.contributor.authorDimirovski, G.
dc.contributor.editorDimitris Vrakas
dc.date.accessioned2017-01-30T10:57:46Z
dc.date.available2017-01-30T10:57:46Z
dc.date.created2015-03-03T20:16:13Z
dc.date.issued2008
dc.identifier.citationVasant, P. and Barsoum, N. and Kahraman, C. and Dimirovski, G. 2008. Application of fuzzy optimisation in forecasting and planning of construction industry, in Vrakas, D. and Vlahavas, P. (ed), Artificial intelligence for advanced problem solving techniques, pp: 242-252. Hershey, PA, USA: Idea Group.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/7124
dc.identifier.doi10.4018/978-1-59904-705-8.ch010
dc.description.abstract

This chapter 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 intelligent computing by MATLAB?. The optimal solution for profit function, index quality and worker satisfaction index in construction industry is considered. Decision maker and implementer tabulate the final possibilistic and realistic outcome for objective functions respect to level of satisfaction and vagueness for forecasting and planning. When the decision maker finds the optimum parameters with acceptable degree of satisfaction, he/she can apply the confidence of gaining much profit in terms of helping the public with high quality and least 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.

dc.publisherIdea Group
dc.titleApplication of fuzzy optimisation in forecasting and planning of construction industry
dc.typeBook Chapter
dcterms.source.startPage242
dcterms.source.endPage252
dcterms.source.titleArtificial intelligence for advanced problem solving techniques
dcterms.source.isbn978-1-59904-705-8
dcterms.source.placeHershey PA 17033-1240 USA
dcterms.source.chapter7
curtin.departmentCurtin Sarawak
curtin.accessStatusFulltext not available


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