• DocumentCode
    2850198
  • Title

    Fuzzy Expert System for Determining the Criticality of Activities in Mega Projects

  • Author

    Jassbi, Javad ; Jafari, Hasan ; Khanmohammadi, Sohrab

  • Author_Institution
    Sci. & Res. Branch, Islamic Azad Univ., Tehran
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    246
  • Lastpage
    251
  • Abstract
    In classic critical path method the criticality of activities are determined by the total floats. However in real world applications the criticalities of activities are also based on their effects on project duration, cost, quality and so on. Activities can have a degree of criticality which can be determined based on different combinations of some affecting variables such as time, risk and resource. After recognizing the impact factors, a fuzzy expert system is developed for determining the level of criticality of activities by using fuzzy inference system (FIS) based on the depository knowledge and experiences of connoisseurs. Behavioral analysis and conditional tests are used to verify the validity of the introduced fuzzy inference system. A construction project is considered as a case study for comparing the results of this method and the classic critical path method (CPM).
  • Keywords
    critical path analysis; expert systems; fuzzy reasoning; project management; behavioral analysis; critical path method; depository knowledge; fuzzy expert system; fuzzy inference system; mega projects; Costs; Delay effects; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Java; Mathematical model; Project management; Risk management; System testing; Behavioral Analysis; Conditional Test; Criticality; Fuzzy expert system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-0-7695-3326-1
  • Electronic_ISBN
    978-0-7695-3326-1
  • Type

    conf

  • DOI
    10.1109/HIS.2008.65
  • Filename
    4626637