A fuzzy grey cognitive maps-based decision support system for maintaining water quality
作者单位：Jiangsu Key Laboratory of Resources and Environmental Information Engineering China University of Mining and Technology School of Computer and Information Science Southwest University
会议名称：《第25届中国控制与决策会议》
主办单位：IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期：2013年
基 金：supported by National Natural Science Foundation of China, Grant No. 60874105, 60904099 Chongqing Natural Science Foundation for Distinguished Young Scientists, Grant No. CSCT, 2010BA2003 Program for New Century Excellent Talents in University, Grant No.NCET-08-0345 Shanghai Rising-Star Program Grant No. 09QA1402900 the Chenxing Scholarship Youth Found of Shanghai Jiao Tong University Grant No. T241460612 Doctor Funding of Southwest University Grant No. SWU110021 the Scientific Research Foundation of Jiangsu Key Laboratory of Resources and Environmental Information Engineering (China University of Mining and Technology) Grant No. JS201114
关 键 词：Water Quality Management Fuzzy Grey Cognitive Maps Interval number
摘 要：Maintaining water quality is of great importance for consumer’s health. How to evaluate and predict the aging water quality is an open issue. In this paper, a framework based on fuzzy grey cognitive maps （FGCMs） is proposed to quantify overall potential for water quality failures. A new method of aggregating different experts based on interval number is presented in the process of constructing FGCM. At last, a case study is utilized to illustrate the efficiency of the proposed method.