Conference proceeding
Algorithms for different approximations in incomplete information systems with maximal compatible classes as primitive granules
GRC: 2007 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, PROCEEDINGS, pp 169-169
01 Jan 2007
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Abstract
This paper proposes some expanded rough set models with maximal compatible classes as primitive granules, introduces two new granules for extending rough set model, and designs algorithms to solve maximal compatible classes, to find the lower and upper approximations according to the newly granules, to compute reducts and minimal reducts with attribute significance. It also verifies the validity of algorithms by examples. These provide an important and implemental theoretical base for rough set theory to deal with problems in incomplete information systems.
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Details
- Title
- Algorithms for different approximations in incomplete information systems with maximal compatible classes as primitive granules
- Creators
- Chen Wu - Jiangsu UniversityXiaohua Hu - Drexel University, Information ScienceZhoujun Li - National University of Defense TechnologyXiaohua Zhou - Drexel UniversityPalakorn Achananuparp - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA
- Publication Details
- GRC: 2007 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, PROCEEDINGS, pp 169-169
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- 240205; 240196 / PA Dept of Health Tobacco Settlement Formula 239667 / PA Dept of Health 0514679 / NSF; National Science Foundation (NSF) IIS 0448023 / NSF Career; National Science Foundation (NSF); NSF - Office of the Director (OD)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000252984500036
- Other Identifier
- 991019167443404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic