Paper:
Language: English:
An Application of Discernibility Functions to Generating Minimal Rules in Non-Deterministic Information Systems
Hiroshi Sakai* and Michinori Nakata**
*Department of Mathematics and Computer Aided Science, Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu 804-8550, Japan
**Faculty of Management and Information Science, Josai International University, Gumyo, Togane, Chiba 283-8555, Japan
Received: January 5, 2006
Accepted: April 19, 2006
Keywords: rough sets, non-deterministic information, minimal rules, discernibility functions, tool for rule generation
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.5 pp. 695-702, 2006
Abstract
Minimal rule generation in Non-deterministic Information Systems (NISs), which follows rough sets based rule generation in Deterministic Information Systems (DISs), is presented. According to certain rules and possible rules in NISs, minimal certain rules and minimal possible rules are defined. Discernibility functions are also introduced into NISs for generating minimal certain rules. Like minimal rule generation in DISs, the condition part of a minimal certain rule is given as a solution of an introduced discernibility function. As for generating minimal possible rules, there may be lots of discernibility functions to be solved. So, an algorithm based on an order of attributes is proposed. A tool, which generates minimal certain rules and minimal possible rules, has also been implemented.
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