Open AccessANP-based fuzzy comprehensive evaluation system for electric power environment
Author(s) -
Xia Zhou,
Jing Xu,
Y. K. Sun,
Jing Zhang,
Mengyao Hu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/5/052087
Subject(s) - analytic network process , analytic hierarchy process , fuzzy logic , electric power , computer science , electricity , delphi , index (typography) , delphi method , process (computing) , electric power system , power (physics) , order (exchange) , evaluation methods , reliability engineering , risk analysis (engineering) , operations research , business , engineering , artificial intelligence , electrical engineering , physics , finance , quantum mechanics , world wide web , operating system
In order to evaluate the environmental situation of electric power business in Lishui City, a relatively objective evaluation index system was established by using literature review method and Delphi method. The network analytic network process (ANP) and fuzzy comprehensive evaluation method are combined to comprehensively evaluate the electric power business environment in Lishui. Firstly, the weight of each evaluation index is determined by ANP method, which overcomes the defect that the analytic hierarchy process (AHP) can not reflect the mutual influence relationship between indicators. Then, the ANP-based fuzzy comprehensive evaluation model is constructed to evaluate the uncertain electric power business environment and calculate with the help of Super Decisions software. The results show that the electricity business environment in Lishui is better. Finally, some measures to improve the electricity business environment were proposed based on the corresponding indicators.