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Information Fusion Based on Information Entropy in Fuzzy Multi-source Incomplete Information System

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Abstract

With the development of society, although the way that people get information more and more convenient, the information which people get may be incomplete and has a little degree of uncertainty and fuzziness. In real life, the incomplete fuzzy phenomenon of information source exists widely. It is extremely meaningful to fuse multiple fuzzy incomplete information sources effectively. In this study, a new method is presented for information fusion based on information entropy in fuzzy incomplete information system and the effectiveness of the new method is verified by comparing the average fusion method. Then, an illustrative example is delivered to illustrate the effectiveness of the proposed fusion method. Finally, we have also tested the veracity and validity of this method by experiment on a dataset from UCI. The results of this study will be useful for pooling the uncertain data from different information sources and significant for establishing a distinct direction of the fusion method.

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Acknowledgments

This work is supported by Natural Science Foundation of China (No. 61105041, No. 61472463, No. 61402064), National Natural Science Foundation of CQ CSTC (No. cstc2015jcyjA40053), Graduate Innovation Foundation of Chongqing University of Technology (No. YCX2015227), and the Graduate Innovation Foundation of CQ (No. CYS16217).

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Authors and Affiliations

  1. School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, 400054, People’s Republic of China

    Weihua Xu & Mengmeng Li

  2. College of Computer Science & Software Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, People’s Republic of China

    Xizhao Wang

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  1. Weihua Xu
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  2. Mengmeng Li
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  3. Xizhao Wang
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Correspondence to Weihua Xu.

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Xu, W., Li, M. & Wang, X. Information Fusion Based on Information Entropy in Fuzzy Multi-source Incomplete Information System. Int. J. Fuzzy Syst. 19, 1200–1216 (2017). https://doi.org/10.1007/s40815-016-0230-9

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  • DOI: https://doi.org/10.1007/s40815-016-0230-9

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