A rough logic based on incomplete information and its application
β Scribed by Akira Nakamura
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 474 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0888-613X
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β¦ Synopsis
This paper discusses a new rough logic based on incomplete information. Originally rough logic was constructed upon knowledge systems of complete information. In this paper, we consider incomplete knowledge representation systems in which information functions are nondeterministic. After modifying the usual definitions of upper and lower approximation operations in rough logic, we examine some properties of these operations. Also, we consider a relationship of the proposed logic to KTB modal logic. Then, we remark about an application of incomplete information systems to decision logic.
π SIMILAR VOLUMES
Rough set theory and formal concept analysis are two complementary mathematical tools for data analysis. In this paper, we study the reduction of the concept lattices based on rough set theory and propose two kinds of reduction methods for the above concept lattices. First, we present the sufficient