Picture fuzzy normalized projection-based VIKOR method for the risk evaluation of construction project

被引:218
作者
Wang, Le [1 ]
Zhang, Hong-yu [1 ]
Wang, Jian-qiang [1 ]
Li, Lin [2 ]
机构
[1] Cent South Univ, Sch Business, Changsha 410083, Hunan, Peoples R China
[2] Hunan Univ, Sch Business, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-criteria decision-making; Picture fuzzy set; Picture fuzzy normalized projection; VIKOR method; Risk evaluation; FAILURE MODE; SELECTION; ENTROPY; FRAMEWORK;
D O I
10.1016/j.asoc.2017.12.014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Identifying the priority of risk factors through risk evaluation is a significant decision-making problem for construction project management team. In this study, a multi-criteria decision-making framework is constructed for risk evaluation of construction project with picture fuzzy information. First, several limitations of the extant picture fuzzy projection model are identified. Second, a picture fuzzy normalized projection (PFNP) model is proposed to overcome the limitations of the extant picture fuzzy projection model. Third, an entropy weight method of picture fuzzy sets is established to calculate the objective weight vector of the criteria. Furthermore, an integrated picture fuzzy normalized projection based VIKOR method is constructed by integrate the PFNP model and VIKOR method under picture fuzzy environment. The proposed method not only considers the difference between two picture fuzzy numbers (PFNs), including distance and included angle, but also considers the compromise among the criteria. Finally, a case study, sensitivity analysis, and comparative analysis are conducted to interpret the practicality and validity of the proposed method. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:216 / 226
页数:11
相关论文
共 48 条
[1]   Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research [J].
Antucheviciene, Jurgita ;
Kala, Zdenek ;
Marzouk, Mohamed ;
Vaidogas, Egidijus Rytas .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
[2]   A fuzzy-based integrated framework for supply chain risk assessment [J].
Aqlan, Faisal ;
Lam, Sarah S. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 161 :54-63
[3]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[4]  
[蔡久顺 Cai Jiushun], 2015, [工程数学学报, Chinese Journal of Engineering Mathematics], V32, P650
[5]   A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects [J].
Chen, Hsiu MeiWang ;
Chou, Shuo-Yan ;
Quoc Dat Luu ;
Yu, Tiffany Hui-Kuang .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
[6]  
Cuong B.C., 2014, J COMPUTER SCI CYBER, V30, P409
[7]  
Cuong B. C., 2014, RELIAB ENG SYST SAFE, V30, P409
[8]   A New Prospect Projection Multi-Criteria Decision-Making Method for Interval-Valued Intuitionistic Fuzzy Numbers [J].
Gao, Jianwei ;
Liu, Huihui .
INFORMATION, 2016, 7 (04)
[9]   A risk assessment approach for failure mode and effects analysis based on intuitionistic fuzzy sets and evidence theory [J].
Guo, Jian .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 30 (02) :869-881
[10]   An extension of fuzzy TOPSIS for a group decision making with an application to tehran stock exchange [J].
Hatami-Marbini, Adel ;
Kangi, Fatemeh .
APPLIED SOFT COMPUTING, 2017, 52 :1084-1097