Model for evaluating the virtual enterprise's risk with 2-tuple linguistic information

被引:10
|
作者
Xing, Yong-Jie [1 ]
Xing, Chen [2 ]
机构
[1] Shandong Univ Finance & Econ, Sch Business Adm, Jinan, Peoples R China
[2] Univ Waterloo, Fac Math, Waterloo, ON N2L 3G1, Canada
关键词
Multiple attribute group decision making; 2-tuple linguistic information; grey relational analysis (GRA); entropy weight method; virtual enterprise's risk; GROUP DECISION-MAKING; INCOMPLETE WEIGHT INFORMATION; AGGREGATION OPERATORS; PREFERENCE RELATIONS; REPRESENTATION MODEL; CONSENSUS; ENVIRONMENT; FUSION; LABELS; SETS;
D O I
10.3233/IFS-162132
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the increasingly fierce competition in the market, the virtual enterprises are becoming a realistic choice of enterprises. As a new business mode, the virtual enterprises bring tremendous opportunities to improve the competitiveness of enterprises to a certain degree. However, without enough practical and proper theoretical experience, the failure probability of virtual enterprises is high. The virtual enterprises have certain advantages, but the complexity of their organization makes the uncertainties increasing, the risk analysis control is difficult and the risk management is complex. In order to achieve smooth operation and expected profits, the virtual enterprises must succeed to avoid the risks. Therefore, the risk management for virtual enterprises is significant in theoretical and practical research. In this paper, we investigate the 2-tuple linguistic multiple attribute group decision making problems with incomplete weight information, some basic concepts and operational laws of 2-tuple linguistic variables are introduced. A model based on the entropy weight method, by which the attribute weights can be determined, is established. According to the traditional ideas of grey relational analysis (GRA), the optimal alternative(s) is determined by calculating the linguistic degree of grey relation of every alternative and 2-tuple linguistic positive ideal solution and 2-tuple linguistic negative ideal solution. It is based on the concept that the optimal alternative should have the largest degree of grey relation from positive ideal solution and the smallest degree of grey relation from the negative ideal solution. Finally, an illustrative example for evaluating the virtual enterprise's risk is given to verify the developed approach and to demonstrate its practicality and effectiveness.
引用
收藏
页码:193 / 200
页数:8
相关论文
共 50 条
  • [41] Model for evaluating the green supply chain performance under low-carbon agricultural economy environment with 2-tuple linguistic information
    Tong, Yun
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (03) : 2717 - 2723
  • [42] TOWARDS AN EXTENSION OF THE 2-TUPLE LINGUISTIC MODEL TO DEAL WITH UNBALANCED LINGUISTIC TERM SETS
    Abchir, Mohammed-Amine
    Truck, Isis
    KYBERNETIKA, 2013, 49 (01) : 164 - 180
  • [43] DSmT qualitative reasoning based on 2-Tuple linguistic representation model
    Li, Xinde
    Dai, Xianzhong
    Dezert, Jean
    Smarandache, Florentin
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5, 2008, : 1671 - +
  • [44] A Model based on 2-tuple Linguistic Model and CRITIC Method for Hotel Classification
    Shu, Ziwei
    Carrasco Gonzalez, Ramon Alberto
    Portela Garcia-Miguel, Javier
    Sanchez-Montanes, Manuel
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA), 2022, : 127 - 134
  • [45] An approach for combining linguistic and numerical information based on the 2-tuple fuzzy linguistic representation model in decision-making
    Herrera, F
    Martinez, L
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2000, 8 (05) : 539 - 562
  • [46] Competence evaluation approach based on 2-tuple linguistic representation model
    Hachicha, Raoudha Mkaouar
    Dafaoui, El Mouloudi
    El Mhamedi, Abderrahman
    2009 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS, 2009, : 879 - 884
  • [47] Multiattribute group decision making based on intuitionistic 2-tuple linguistic information
    Liu, Peide
    Chen, Shyi-Ming
    INFORMATION SCIENCES, 2018, 430 : 599 - 619
  • [48] Research on the management performance appraisal for the transnational corporation with 2-tuple linguistic information
    He, Jiao
    Li, Xun
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (02) : 1855 - 1863
  • [49] Evaluation on water resources and water ecological security with 2-tuple linguistic information
    Song, Gang-Fu
    INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS, 2019, 23 (01) : 1 - 8
  • [50] Combined QFD TOPSIS Approach with 2-Tuple Linguistic Information for Warehouse Selection
    Buyukozkan, Gulcin
    Uzturk, Deniz
    2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2017,