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| Interval Grey Fuzzy Uncertain Linguistic Sets and Their Application to Ranking of Construction Project Risk Factors |
| LIU Guang-feng, ZHOU Zhi, XU Mao-zeng |
| School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China |
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Abstract To express information on construction project risks comprehensively and precisely and to improve the accuracy of the results of the ranking of construction project risk factors, we use the interval grey degree to express grey characteristics of information. The membership degree is used to express fuzzy characteristics of information. An uncertain linguistic variable is used to express linguistic descriptive characteristics of information. A ranking model for construction project risk factorsis proposed to identify the main risk factors on the basis of the interval grey fuzzy uncertain linguistic set and the continuous interval argument ordered weighted averaging (C-OWA) operator. We take the Weft Three-Road Cross-River Tunnel in Nanjing as a case to verify the feasibility of the proposed model.. Research results show that compared with fuzzy sets that can only use membership degree to express fuzziness, the interval grey fuzzy uncertain linguistic set can express the grey, fuzzy, and linguistic descriptive characteristics of practical construction project risk information simultaneously. The proposed model based on the theory helps to improve the comprehensiveness and authenticity of risk information expression, as well as the accuracy of risk factor rankings. The results of this work could assist project managers in determining main risk factors and thereby provide a theoretical basis for taking pre-control measures.
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Received: 02 June 2017
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| Fund:Supported by the National Social Science Foundation of China (No.15CGL051), the National Natural Science Foundation of China (No.71401019), and the Social Science Planning Project Fund of Chongqing (No.2011YBGL112) |
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Corresponding Authors:
LIU Guang-feng
E-mail: 546290122@qq.com
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[1] GOHAR A S, KHANZADI M, JALAL M P, et al. Construction Projects Risk Assessment Based on Fuzzy AHP[C]//Proceeding of 2009 Student Conference on Research and Development. New York:IEEE, 2009:570-573.
[2] ZAVADSKAS E K. Risk Assessment of Construction Projects[J]. Journal of Civil Engineering & Management, 2010, 16(1):33-46.
[3] ZHANG Shi-lian, LI Peng. Empirical Research of Construction Engineering Design Risk Factors Based on Factor Analysis[J]. China Safety Science Journal, 2011,21(3):131-138. (In Chinese)
[4] XU Chong-bang, TIAN Hai-ning, ZHOU Ning. Distinguishing of Security Risk Source and Risk Assessment of Portals Aofengshan Tunnel[J]. Journal of Highway and Transportation Research and Development, 2012,29(10):96-101(In Chinese)
[5] EBRAHIMNEJAD S, MOUSAVI S M, TAVAKKOLIMOGHADDAM R, et al. Evaluating High Risks in Large-scale Projects Using an Extended VIKOR Method under a Fuzzy Environment[J]. International Journal of Industrial Engineering Computations, 2012, 3(3):463-476.
[6] LI Feng-wei, DU Xiu-li, ZHANG Ming-ju, et al. Application of Improved AHP in Risk Identification during Open-cut Construction of a Subway Station[J]. Journal of Beijing University of Technology, 2012, 38(2):167-172. (In Chinese)
[7] ZHOU Guo-en. On Risk Assessment and Management of Frost Damage in a Tunnel Located in a Cold Region Based on ANP and Fuzzy Theory[J]. Modern Tunnelling Technology, 2013,50(1):60-66. (In Chinese)
[8] WEI Yong-xing, DING Zhao-feng, LUO Yi-nong. Research on Recognition and Evaluation of Landslide Risk[J]. Journal of Railway Engineering Society, 2013, (7):95-99. (In Chinese)
[9] WAN Xin, QIN Xuan. Risk Identification and Evaluation of Green Building Projects Based on Empirical Study[J]. Building Science, 2013, 29(2):54-61. (In Chinese)
[10] FAN Ying, LI Chen, JIN Min-jie, et al. Research on Application of Triangular Fuzzy Number and AHP in Risk Evaluation[J]. China Safety Science Journal, 2014,24(7):70-74. (In Chinese)
[11] LIU An-ying, WEI Fa-jie, ZHAO Ting-di. Method for Dynamic Risk Evaluation Based on Language Information[J]. Systems Engineering and Electronics, 2014,36(12):2456-2460. (In Chinese)
[12] SUO Wei-lan, CHEN Rui. Study on Identification Method for Risk Factors of Urban Typical Lifeline Operation Considering a Complex Interdependent Context[J]. Chinese Journal of Management Science, 2014, 22(8):130-140. (In Chinese)
[13] LIU Guang-feng, CHEN Fang-wei, ZHOU Zhi, et al. Identification of Investment Risks for River-crossing Tunnels Based on Grey Fuzzy Multi-attribute Group Decision Making[J]. Modern Tunnelling Technology, 2015, 52(4):41-48. (In Chinese)
[14] WANG Hao-lun, XU Xiang-bin, GAN Wei-hua. Risk Evaluation Method in FMEA Based on Triangular Fuzzy Soft Sets[J]. Computer Integrated Manufacturing Systems, 2015,21(11):3054-3062. (In Chinese)
[15] WANG Lin, ZHOU Shi-jun. Analysis of Risk Factors of Synchronous Construction of Pylon and Beam Based on Interpretive Structural Model[J]. Journal of Highway and Transportation Research and Development, 2015, 31(2):100-107. (In Chinese)
[16] HERRERA F, HERRERA-VIEDMA E. Linguistic Decision Analysis:Steps for Solving Decision Problems under Linguistic Information[J]. Fuzzy Sets and Systems, 2000, 115(1):67-82.
[17] XU Ze-shui. Induced Uncertain Linguistic OWA Operators Applied to Group Decision Making[J]. Information Fusion, 2006, 7(2):231-238.
[18] YAGER R R. OWA Aggregation over a Continuous Interval Argument with Applications to Decision Making[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B:Cybernetics, 2004, 34(5):1952-1963.
[19] WANG Jian-qiang, WU Jian-wen. Multi-criteria Decision Making Approach Based on the Interval Grey Uncertain Linguistic[J]. Chinese Journal of Management Science, 2010, 18(3):107-111.(In Chinese) |
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2018, Vol. 12 
