The Evaluation of Enterprise Green Growth Ability Based on D-S General Fuzzy Soft Set Theory

被引：0
|
作者：
Zhao, Ao [1 ]
Guo, Jingfu [1 ]
机构：
[1] Univ Dalian Minzu, Dept Management & Econ, Dalian, Liaoning, Peoples R China
来源：
PROCEEDINGS OF 2017 8TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2017) | 2017年
关键词：
green growth of enterprise; green transformation; comprehensive assessment; D-S general fuzzy soft set; MCDM;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
With the development of serious status of environmental pollution and exhaustion all over the world, green transformation and green growth has been becoming the main economic issues. The development of society depends on the modern enterprise. Thus, growth model and management concept of enterprise has been the most important pathway for solving environmental pollution. Based on this, this paper builds up evaluating model of enterprise green growth ability, and completes the comprehensive assessment by means of D-S general fuzzy soft set. Through this research, on the one hand, it verifies the feasibility of evaluating model; on the other hand, it provides a new idea for green growth of enterprise.
引用
收藏
页码：506 / 508
页数：3
相关论文
共 50 条
  • [1] State evaluation of product family based on fuzzy soft sets and D-S theory
    Wang, Haolun
    Hou, Liang
    Cheng, Xianfu
    Gan, Weihua
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2015, 21 (10): : 2577 - 2586
  • [2] Mid-long term load forecasting based on Fuzzy Soft Set and D-S Evidence Theory
    Niu, Dongxiao
    Fan, Leilei
    Wu, Qiaoling
    Ma, Qingguo
    Tan, Qinliang
    THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 732-733 : 682 - +
  • [3] The Comprehensive Quality Evaluation Research of College Graduates under Fuzzy Set Based on D-S Evidence Theory
    Li Pingze
    ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 1, 2010, : 534 - 540
  • [4] Evaluation of Enterprise Innovation Ability Based on Rough Set Theory
    Yin, Lei
    Liu, Xiaoxiang
    Jiang, Weigang
    Xie, Jianwen
    2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 1, PROCEEDINGS, 2009, : 471 - +
  • [5] FMEA method based on fuzzy theory and D-S evidence theory
    Wei K.
    Geng J.
    Xu S.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2019, 41 (11): : 2662 - 2668
  • [6] Peer-to-Peer Lending Platform Selection Using Intuitionistic Fuzzy Soft Set and D-S Theory of Evidence
    Feng, Xiaodong
    Xiao, Zhi
    Wang, Xianning
    Zhong, Bo
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2019, 27 (01) : 1 - 17
  • [7] A Data Fusion Equipment Monitoring Method Based on Fuzzy Set and Improved D-S Evidence Theory
    Ding, Han
    Hou, Ruichun
    Ding, Xiangqian
    2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, : 1070 - 1076
  • [8] Study on enterprise's life cycle based on fuzzy set theory
    Liang Hong-song
    Shi Chun-sheng
    2006 IEEE INTERNATIONAL CONFERENCE ON MANAGEMENT OF INNOVATION AND TECHNOLOGY, VOLS 1 AND 2, PROCEEDINGS, 2006, : 1025 - +
  • [9] An Intrusion Detection Algorithm based on D-S Theory and Rough Set
    Wang, Lifang
    Zhang, Shuhai
    INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2013, 9 (19-23) : 19 - 23
  • [10] EVALUATION OF PERSONAL HEALTH CONDITION BASED ON FUZZY SOFT SET THEORY
    Kong, Z.
    Wang, L. F.
    Lu, F. Q.
    Wang, L. Q.
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2018, 122 : 14 - 14
12345