Expert Evaluation of Ecological and Economic Risks of Implementing Engineering Innovations by Coal-Mining Enterprises Based on Fuzzy Logic

被引:0
|
作者
Raevskaya, Elena [1 ]
Pimonov, Alexander [1 ,2 ]
Mihailov, Vladimir [1 ]
机构
[1] TF Gorbachev Kuzbass State Tech Univ, Kemerovo 650000, Russia
[2] Russian Acad Sci, Siberian Branch, Inst Econ & Ind Engn, Novosibirsk 630090, Russia
关键词
D O I
10.1051/matecconf/201929707005
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The article is about a complex approach based on the method of analyzing hierarchies and using of fuzzy logics for assessment of risks deals with engineering innovations in coal-mining industry. This approach allows evaluating both quantitative and qualitative risk indicators of compared alternative innovative mechanisms and equipment, does not depend on a field of expertise, thus it makes possible to attract specialists with competencies in various fields of knowledge. Such kind of approach allows making a qualitative assessment of the situation on the basis of formalized logical conclusions, making decision making comfortable and accessible to any specialist. The proposed methodology is implemented as a part of a decision support system.
引用
收藏
页数:7
相关论文
共 4 条
  • [1] Study on Efficiency Evaluation of Safety Investment of Coal-Mining Enterprises Based on Audit Data
    Li, Enzhu
    Xu, Hongshan
    Li, Guannan
    PROCEEDINGS OF THE 5TH ANNUAL INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND CONTEMPORARY HUMANITY DEVELOPMENT (SSCHD 2019), 2019, 376 : 410 - 414
  • [2] ECOLOGICAL-ECONOMIC EVALUATION OF STATUS AND FUTURE LINE OF DEVELOPMENT OF COAL-MINING IN THE KUZNETSK BASIN
    ORDIN, AA
    JOURNAL OF MINING SCIENCE, 1994, 30 (02) : 218 - 222
  • [3] Human action quality evaluation based on fuzzy logic with application in underground coal mining
    Ionica, Andreea
    Leba, Monica
    WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION, 2015, 51 (03): : 611 - 620
  • [4] Research on farmers' satisfaction with ecological restoration performance in coal mining areas based on fuzzy comprehensive evaluation
    Zhang, Peipei
    Ye, Qingqing
    Yu, Yang
    GLOBAL ECOLOGY AND CONSERVATION, 2021, 32