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The rough entropy of multi-granularity rough set to interval number information system
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yu, Yingying Hu, Qian |
| Copyright Year | 2018 |
| Abstract | In 1948,Shannon takes into account that the entropy of measurement of electrical, mechanical, and thermal systems has unordered and disordered defects,Entropy is proposed to measure the uncertainty of various systems,And the Shannon entropy (information entropy),Many scholars in rough sets have also used entropy to analyze the fuzziness and uncertainty of information system in the advantage relation. Many scholars consider the advantages of entropy in the information system [2] .The rough entropy of the rough set of probability in the advantage relation is analyzed by the probability introduction by wang guying [3],The correlation between knowledge granularity and rough entropy is analyzed in the rough entropy with the probability of parameter.GUI XIAN CAI[4] proposed the extended conditional entropy and used the rough decision entropy to measure the stability of the interval number information system. However, there are some shortcomings in the study of single-particle space in rough sets,For example, in part of the decision question,If two decision-makers are independent of each other, then any two knowledge mixing operations cannot be operable.In order to deal with the lack of partition in single particle size space,Qian yuhua [5] first proposed the multi-granularity information system in 2006, using the equivalence relation to divide the information system.Li qi fang [6] discussed some of the properties of the coarse-grained rough set in the advantage relation;Zhai yongjian [7] introduced the dominant relationship to the multi-particle coarse fuzzy set and its corresponding incomplete information system. In order to further study the rough entropy of the multi-granularity rough set in the interval value information system,in this paper, the properties of rough set model are described by using the advantages relation, and the properties of the rough set model are presented by the rough entropy, and the example is used to analyze the model. |
| File Format | PDF HTM / HTML |
| DOI | 10.2991/ifmeita-17.2018.60 |
| Alternate Webpage(s) | https://download.atlantis-press.com/article/25891124.pdf |
| Alternate Webpage(s) | https://doi.org/10.2991/ifmeita-17.2018.60 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
