標題: Automatically integrating multiple rule sets in a distributed-knowledge environment
作者: Wang, CH
Hong, TP
Tseng, SS
Liao, CM
資訊工程學系
Department of Computer Science
公開日期: 1-八月-1998
摘要: In this paper, an actual knowledge application is made by means of evolution paradigms in terms of knowledge acquisition. rin automatic knowledge integration approach in a distributed-knowledge environment is thus proposed to integrate multiple rule sets into a single effective rule set. The proposed approach consists of two phases: knowledge encoding and knowledge integration. In the encoding phase, each knowledge input is translated and expressed as a rule set, then encoded as a bit string. The combined bit strings from multiple knowledge inputs form an initial knowledge population, which is then ready for integration. In the knowledge integration phase, a genetic search technique generates an optimal or nearly optimal rule set from these initial knowledge-input strings. Finally, experimental results from diagnosis of brain tumors show that the rule set derived by the proposed approach is much more accurate than each initial rule set.
URI: http://dx.doi.org/10.1109/5326.704591
http://hdl.handle.net/11536/32476
ISSN: 1094-6977
DOI: 10.1109/5326.704591
期刊: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
Volume: 28
Issue: 3
起始頁: 471
結束頁: 476
顯示於類別:期刊論文


文件中的檔案:

  1. 000075010400015.pdf