Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Application of fuzzy optimisation in forecasting and planning of construction industry

    Access Status
    Fulltext not available
    Authors
    Vasant, P.
    Barsoum, Nader
    Kahraman, C.
    Dimirovski, G.
    Date
    2008
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Vasant, 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.
    Source Title
    Artificial intelligence for advanced problem solving techniques
    DOI
    10.4018/978-1-59904-705-8.ch010
    ISBN
    978-1-59904-705-8
    School
    Curtin Sarawak
    URI
    http://hdl.handle.net/20.500.11937/7124
    Collection
    • Curtin Research Publications
    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.

    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.