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Information Journal Paper

Title

EVALUATION MODEL OF PROJECT COMPLEXITY FOR LARGE-SCALE CONSTRUCTION PROJECTS IN IRAN-A FUZZY ANP APPROACH

Pages

  101-112

Abstract

 Construction projects have always been complex. By growing trend of this complexity, implementations of large-scale constructions become harder. Hence, evaluating and understanding these complexities are critical. Correct evaluation of a project complication can provide executives and managers with good source to use. FUZZY ANALYTIC NETWORK PROCESS (ANP) is a logical and systematic approach toward defining, evaluation, and grading. This method allows for analyzing complex systems, and determining complexity of them. In this study, by taking advantage of fuzzy ANP, effective indexes for development of complications in LARGE-SCALE CONSTRUCTION PROJECTS in Iran have been determined and prioritized. The results show socio-political, project system interdependencies, and technological complexity indexes ranked top to three. Furthermore, in comparison of three main huge projects: commercial-administrative, hospital, and skyscrapers, the hospital project had been evaluated as the most complicated. This model is beneficial for professionals in managing large-scale projects.

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    APA: Copy

    KAZEMI, ALIYEH, & AFSHARI, SEPIDEH. (2016). EVALUATION MODEL OF PROJECT COMPLEXITY FOR LARGE-SCALE CONSTRUCTION PROJECTS IN IRAN-A FUZZY ANP APPROACH. JOURNAL OF STRUCTURAL AND CONSTRUCTION ENGINEERING, 3(2), 101-112. SID. https://sid.ir/paper/252577/en

    Vancouver: Copy

    KAZEMI ALIYEH, AFSHARI SEPIDEH. EVALUATION MODEL OF PROJECT COMPLEXITY FOR LARGE-SCALE CONSTRUCTION PROJECTS IN IRAN-A FUZZY ANP APPROACH. JOURNAL OF STRUCTURAL AND CONSTRUCTION ENGINEERING[Internet]. 2016;3(2):101-112. Available from: https://sid.ir/paper/252577/en

    IEEE: Copy

    ALIYEH KAZEMI, and SEPIDEH AFSHARI, “EVALUATION MODEL OF PROJECT COMPLEXITY FOR LARGE-SCALE CONSTRUCTION PROJECTS IN IRAN-A FUZZY ANP APPROACH,” JOURNAL OF STRUCTURAL AND CONSTRUCTION ENGINEERING, vol. 3, no. 2, pp. 101–112, 2016, [Online]. Available: https://sid.ir/paper/252577/en

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