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Information Journal Paper

Title

Design of A New Fuzzy Expert System for Project Portfolio Risk Management

Pages

  403-421

Abstract

 Purpose: The aim of this study was to design a new fuzzy expert system for Project portfolio Risk Management in ongoing projects of a first mobile holding. Methodology: To do this; To identify the risks from the Dematel method developed in Excel, to evaluate and determine the most important risks from the fuzzy FMEA methods in Excel and the AHP method in Expert Choice software; And to select the optimal risk response, a proposed mathematical model is used and solved in Gamz software. Findings: The research findings showed that there are 23 risks in the studied projects, 8 of which were of high importance and impact. Also, risk prioritization and determination of their impact level was performed using the integrated AHP-FMEA method. Findings obtained from solving and implementing the mathematical model in Gamz software also showed that the proposed model of efficiency and capability for selecting optimal risk response strategies is established. Originality/Value: The general findings indicate that the proposed new fuzzy expert system also has the necessary capability and efficiency to manage the portfolio risk in the study holding.

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    APA: Copy

    Zahedi, Masoumeh, Khalilzadeh, Mohamad, & JAVANSHIR, HASAN. (2021). Design of A New Fuzzy Expert System for Project Portfolio Risk Management. INNOVATION MANAGEMENT AND OPERATIONAL STRATEGIES, 1(4 ), 403-421. SID. https://sid.ir/paper/389875/en

    Vancouver: Copy

    Zahedi Masoumeh, Khalilzadeh Mohamad, JAVANSHIR HASAN. Design of A New Fuzzy Expert System for Project Portfolio Risk Management. INNOVATION MANAGEMENT AND OPERATIONAL STRATEGIES[Internet]. 2021;1(4 ):403-421. Available from: https://sid.ir/paper/389875/en

    IEEE: Copy

    Masoumeh Zahedi, Mohamad Khalilzadeh, and HASAN JAVANSHIR, “Design of A New Fuzzy Expert System for Project Portfolio Risk Management,” INNOVATION MANAGEMENT AND OPERATIONAL STRATEGIES, vol. 1, no. 4 , pp. 403–421, 2021, [Online]. Available: https://sid.ir/paper/389875/en

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