Abstract
为了有效地在信息表中处理取值为模糊术语的属性，解决Rough集对模糊值属性处理能力较弱的问题，提出了模糊不可分辨关系的概念，用于处理属性值为模糊术语的信息表将约简、核、相对约简与相对核以及规则的约简与核等Rough集理论中一系列知识约简的概念推广到模糊环境下，提出了一种有效的模糊值信息表简化的启发式算法。
In order to effectively deal with imprecise linguistic terms in information tables and to improve the ability of dealing with initial fuzzy data, fuzzy indiscernibility relation is proposed. Some basic concepts of rough sets such as reduct and core of knowledge are generalized to the fuzzy environment. A heuristic algorithm is presented to simplify decision tables with fuzzy-valued attributes. A numerical example is given to prove that the proposed approach is superior to the Pawlak's typical approach and some other scholars' works in the simplification of decision tables with fuzzy-valued attributes.
| Translated title of the contribution | Simplification of Information Table with Fuzzy-Valued Attributes Based on Rough Sets |
|---|---|
| Original language | Chinese (Simplified) |
| Pages (from-to) | 1974-1981 |
| Number of pages | 8 |
| Journal | 计算机研究与发展 = Journal of Computer Research and Development |
| Volume | 41 |
| Issue number | 11 |
| Publication status | Published - Nov 2004 |
| Externally published | Yes |
Bibliographical note
基金项目: 教育部科学技术研究重点项目 (03017)，河北省自然科学基金项目 (603137)，河北省教育厅博士基金项目 (B2003117)Keywords
- Fuzzy core
- Fuzzy reduct
- Indiscernibility relation
- Knowledge discovery
- Rough sets
- 模糊约简
- 模糊核
- 知识发现
- ROUGH集
- 不可分辨关系