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Evaluation of Blasting Effect Based on Analytic Hierarchy Process and Cloud Model in Open-Pit Mines 会议论文
3rd IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), Chengdu, PEOPLES R CHINA, APR 20-22, 2018
作者:  Jiang Fuliang*;  Yang Wenchao;  Zhang Shuai;  Li Ming;  Wang Xiaoli
收藏  |  浏览/下载:4/0  |  提交时间:2019/12/27
An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings 期刊论文
Frontiers of Mechanical Engineering, 2018, 卷号: 13, 期号: 2, 页码: 301-310
作者:  Yanfeng PENG[1,2,3];  Junsheng CHENG[1,2];  Yanfei LIU;  Xuejun LI;  Zhihua PENG
收藏  |  浏览/下载:5/0  |  提交时间:2019/12/27
Designing a group decision support system under uncertainty using group Fuzzy analytic network process (ANP) 期刊论文
AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2010, 卷号: 4, 期号: 12, 页码: 2571-2585
作者:  Yang, Wei Zhong*;  Ge, Yu Hui;  He, Jian Jia;  Liu, Bin
收藏  |  浏览/下载:9/0  |  提交时间:2019/12/27
Handling uncertainty in decision making is recently receiving considerable attention by researchers. Advances in group Fuzzy analytic network process (ANP) are discussed to support decision making because of the complexity and vagueness under uncertainty. An adaptive group Fuzzy ANP group decision support system (DSS) under uncertainty is put forth that makes up for some deficiencies in the conventional ANP. Fuzzy judgments are firstly used when it is difficult to characterize the uncertainty by point-valued judgments due to partially known information  and a bipartite graph is formulated to model the problem of group decision making under uncertainty. Then  a Fuzzy prioritization method is proposed to derive the local priorities from missing or inconsistent Fuzzy pairwise comparison judgments. As a result of the unlikeliness for all the decision makers to evaluate all elements under uncertainty  an original aggregation method is developed to cope with the situation where some of the local priorities are missing. Finally  an evaluation of petroleum contaminated site remedial countermeasures using the proposed group Fuzzy ANP  indicates that the presented group DSS can effectively handle uncertainty and support group decision making with high level of user satisfaction.  


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