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.
| Original language | English |
|---|---|
| Pages (from-to) | 1200-1216 |
| Number of pages | 17 |
| Journal | International Journal of Fuzzy Systems |
| Volume | 19 |
| Issue number | 4 |
| Early online date | 25 Jul 2016 |
| DOIs | |
| Publication status | Published - Aug 2017 |
| Externally published | Yes |
Bibliographical note
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).Keywords
- Fuzzy set theory
- Incomplete information system
- Information entropy
- Multi-source information fusion