Conference proceeding
Knowledge dependency relationships in incomplete information system based on tolerance relations
2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, v 6, pp 4773-4777
01 Jan 2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper we define the concepts of knowledge dependency, partial knowledge dependency and dependency degree in rough set models based on tolerance relations for incomplete information system. These concepts, not properly defined and studied in previous research study for incomplete information system, but are very important from data mining and rough set theory community. We consider two kinds of dependency relationships: one is related to the conditional attribute subset and the decision, and the other is related to two different conditional attribute subsets. We then propose several theorems based on our revised knowledge dependency relationships. We give formal proofs of the theorems and verify their correctness with some examples.
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Details
- Title
- Knowledge dependency relationships in incomplete information system based on tolerance relations
- Creators
- Chen Wu - Jiangsu UniversityXiaohua Hu - Drexel UniversityLijuan Wang - Jiangsu University of Science and TechnologyXibei Yang - Jiangsu University of Science and TechnologyYi Pan - Georgia State UniversityIEEE
- Publication Details
- 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, v 6, pp 4773-4777
- Series
- IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- 0514679 / NSF CCF ROI GM34766-17Sl; P20 GM065762-OlAI / National Institutes of Health (NIH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA ECS-0196569; ECS-0334813; CCF-0514750 / 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 (Informatics)
- Web of Science ID
- WOS:000248078505058
- Scopus ID
- 2-s2.0-34548141901
- Other Identifier
- 991019173532104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics