An Application of Fuzzy Analytic Hierarchy Process in Risk Evaluation Model

被引:19
|
作者
Peng, Geng [1 ]
Han, Lu [2 ]
Liu, Zeyan [3 ]
Guo, Yanyang [4 ]
Yan, Junai [5 ]
Jia, Xinyu [6 ]
机构
[1] Jiangsu Univ Technol, Sch Business, Changzhou, Jiangsu, Peoples R China
[2] Tongji Univ, Sch Econ & Management, Shanghai, Peoples R China
[3] Univ Int Business & Econ, Sch Business, Beijing, Peoples R China
[4] China Ordnance Mat Huabei Co Ltd, Taiyuan, Peoples R China
[5] Shanxi Univ Finance & Econ, Sch Management Sci & Engn, Taiyuan, Peoples R China
[6] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2021年 / 12卷
基金
中国国家自然科学基金;
关键词
land expropriation; government governance; risk assessment; mass unexpected; evaluation methods; LAND EXPROPRIATION; DECISION-MAKING; AHP; FRAMEWORK;
D O I
10.3389/fpsyg.2021.715003
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Conflicts in land exploration are incisive social problems which have been the subject in many studies. Risk assessment of land conflicts is effective to resolve such problems. Specifically, fuzzy mathematics and the analytic hierarchy process were combined together to evaluate risk in land conflicts in our work, which is proved useful to solve uncertainty and imprecision problems. Based on the analysis of the principles for the risk assessment of a land conflicts index system, a set of risk assessment indexes using the fuzzy analytic hierarchy process (FAHP) was presented. The results show that the overall risk is at medium level, and the risk of the feasibility index and controllability index need to be paid more attention to. The contribution of this article is reflected in two aspects: (1) the application of FAHP in risk assessments of land conflicts is effective and valid; (2) it is helpful for governments to establish a stricter management system of work safety for conflicts in land exploration based on the risk assessment results.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Application of fuzzy analytic hierarchy process in enterprise safety evaluation
    Xia Weihong
    Wang Xiaoqun
    [J]. PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL 6, PTS A AND B, 2006, 6 : 59 - 62
  • [2] Project risk evaluation using a fuzzy analytic hierarchy process: An application to information technology projects
    Tuysuz, Fatih
    Kahraman, Cengiz
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2006, 21 (06) : 559 - 584
  • [3] Application of Fuzzy Analytic Hierarchy Process Method Based on SWOT Theory in Project Risk Evaluation
    Xu, Wei
    Wang, Guoying
    [J]. PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING II, PTS 1-4, 2013, 405-408 : 3455 - 3458
  • [4] Application of the Fuzzy Analytic Hierarchy Process in Pipeline Risk Factor Weight
    Cai, Liangjun
    Zhang, Weijun
    [J]. PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING, PTS. 1-5, 2012, 204-208 : 2951 - 2954
  • [5] The Application of Fuzzy Analytic Hierarchy Process in Community Informatization Level Evaluation
    Wu, JianJun
    Wang, Yong
    Xie, Qing
    [J]. MATERIALS PROCESSING TECHNOLOGY, PTS 1-4, 2011, 291-294 : 3429 - 3433
  • [6] Application of Gray Analytic Hierarchy Process in Project Risk Evaluation
    Cui, Dong-hong
    Zhang, Xi-yan
    [J]. 2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL IV, PROCEEDINGS, 2009, : 592 - 594
  • [7] Fuzzy analytic hierarchy process model with application to plant location selection
    Murtaza, MB
    Gupta, VK
    [J]. DECISION SCIENCES INSTITUTE 1998 PROCEEDINGS, VOLS 1-3, 1998, : 702 - 702
  • [8] An evaluation model of cruise ports using fuzzy analytic hierarchy process
    Tseng, Po-Hsing
    Yip, Tsz Leung
    [J]. MARITIME BUSINESS REVIEW, 2021, 6 (01) : 22 - 48
  • [9] An application of nonlinear fuzzy analytic hierarchy process in safety evaluation of coal mine
    Wang Qiaoxiu
    Wang Hong
    Qi Zuoqiu
    [J]. SAFETY SCIENCE, 2016, 86 : 78 - 87
  • [10] Fuzzy Analytic Hierarchy Process Application to E-government Performance Evaluation
    Fei, Jun
    Yao, Ruimin
    Yu, Lihua
    [J]. FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS, 2008, : 376 - +