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Project risk assessment model combining the fuzzy weighted average principle with a similarity measure

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KSCE Journal of Civil Engineering Aims and scope

Abstract

This paper presents a fuzzy risk assessment model for construction projects. The model combines the fuzzy weighted average principle with a similarity measure of generalized fuzzy numbers. The failure probability of each project objective can be evaluated using a discrete fuzzy weighted average algorithm and translated into an appropriate fuzzy linguistic term by using a modified similarity measure determined by considering the area, perimeter, height, and geometric distance of generalized fuzzy numbers. This paper makes practical contributions by suggesting a model that can address the uncertainty associated with construction projects based on fuzzy set theory and facilitate the assessment of fuzzy risks by allowing for sophisticated computations and theoretical contributions by enabling researchers to expeditiously assess project risks. A test case verifies the usability and validity of the proposed method.

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Authors and Affiliations

  1. School of Architecture and Civil Engineering, Kyungpook National University, Daegu, 702-701, Korea

    Pejman Rezakhani

  2. Dept. of Civil Engineering, Yeungnam University, Gyeongsan, 712-749, Korea

    Won-Suk Jang

  3. Dept. of Construction Engineering, Texas Tech University, Box 43107, Lubbock, Texas, 79409, USA

    Sangwook Lee

  4. Kyungpook National University, Daegu, 702-701, Korea

    Dong-Eun Lee

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  1. Pejman Rezakhani
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  2. Won-Suk Jang
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  3. Sangwook Lee
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  4. Dong-Eun Lee
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Correspondence to Dong-Eun Lee.

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Rezakhani, P., Jang, WS., Lee, S. et al. Project risk assessment model combining the fuzzy weighted average principle with a similarity measure. KSCE J Civ Eng 18, 521–530 (2014). https://doi.org/10.1007/s12205-014-0053-x

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