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Published: 2020-10-13

Page: 52-63


Department of Mathematics and Statistics, Qinghai Nationalities University, Xining 810007 P. R. China


Department of Mathematics and Statistics, Qinghai Nationalities University, Xining 810007 P. R. China

*Author to whom correspondence should be addressed.


This paper mainly discusses the method for multi-source information fusion, and gives an algorithm for multi-source information fusion based on fuzzy partial order relation.The key of achieving information fusion is to make all the elements comparable. First, we will transfer the established fuzzy partial order into total order to get the good or bad order of the subjects being evaluated and the most important information, furthermore a new system is obtained. Second, we get the algorithms of the information fusion. Finally, we test the feasibility and effectiveness of the algorithms via an example.

Keywords: Multi-source information systems, information fusion, fuzzy partial order relation, total order relation.

How to Cite

SHI, X., & FU, L. (2020). ALGORITHM FOR MULTI-SOURCE INFORMATION FUSION BASED ON (FUZZY) PARTIAL ORDER RELATION. Asian Journal of Mathematics and Computer Research, 27(3), 52–63. Retrieved from


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