Abstract Aiming at the strong uncertainty of decision-making evaluation for alliance, a multi-level decision-making evaluation method of multi-task collaborative alliance based on cloud model theory orienting to big data is proposed. Firstly, a decision-making evaluation framework for collaborative alliance on the basis of big data is established, and the evaluation data of basic evaluation indexes of alliance members are obtained from the processing and analysis platform of big data. The reverse cloud generator algorithm is applied to create the corresponding evaluation cloud. Meanwhile, the cloud characteristic parameters of alliance evaluation indexes are generated using integrated cloud computing. Then, combining the evaluation index weight and task weight of alliance, the decision-making evaluation cloud of single-task alliance and multi-task collaborative alliance are gained by applying cloud weighted arithmetic averaging operator on the basis of cloud clustering algorithm, respectively. Next, the alternative schemes of multi-task collaborative alliance are evaluated and selected to determine the optimal one. Finally, by comparing with the traditional alliance evaluation method based on the D-S evidence theory, the effectiveness of the proposed method is verified.
Fund:Supported by National Natural Science Foundation of China(No.61573125,61174170)
About author:: (YIN Lei(Corresponding author), Ph.D. candidate. Her research interests include multi-agent systems and evolutionary computation.)(JIANG Jianguo, master, professor. His research interests include distributed artificial intelligence and digital image processing.)(ZHANG Guofu, Ph.D., professor. His re-search interests include complex systems, coalitional games and computational intelligence.)
YIN Lei,JIANG Jianguo,ZHANG Guofu. Decision-Making Evaluation for Collaborative Alliance Based on Cloud Model Theory Orienting to Big Data[J]. , 2019, 32(2): 124-132.
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2019, Vol. 32 
