A self evolutionary rule-base

A.M. Khattak, Z. Pervez, W.A. Khan, S.Y Lee, Y.K. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


The rapid growth in domain knowledge is the main reason for the evolution of knowledgebase’s maintaining the domain knowledge. Rule-based Decision Support Systems (DSS) are the most effected systems with the growing knowledge. The experts need to continuously update the rule-base for the new knowledge. This manual and periodic updates in rule-base are time consuming and less useful. In this paper we propose a Self Evolutionary Rule-base algorithm for rule-bases of DSS to decrease the burden from experts and also provide updated knowledge on time. To achieve this objective, we develop a generic structure for rules storage that not only provide efficient manipulation of rules but a generic structure for storage of rules regardless of rules nature/format. The detail working of proposed Rule-base system for rules storage and manipulation is provided in this paper. For the proof of concept, we have implemented the Self Evolutionary Rule-base algorithm in Socially Interactive Clinical Decision Support System (SI-CDSS). The focus is on diabetes disease patients and the overall SI-CDSS is deployed in Microsoft Azure environment. In its implementation, Rough Set generated rules are used and the algorithm is executed on Rough Set generated rules.
Original languageEnglish
Title of host publicationU-and E-Service, Science and Technology
EditorsTai-hoon Kim, Hojjat Adeli, Jianhua Ma, Wai-chi Fang, Byeong-Ho Kang, Byungjoo Park, Frode Eika Sandnes, Kun Chang Lee
Number of pages9
ISBN (Electronic)9783642272103
ISBN (Print)9783642272097
Publication statusPublished - 2011
Externally publishedYes
EventUNESST: International Conference on U- and E-Service, Science and Technology - Jeju Island
Duration: 8 Dec 201110 Dec 2011

Publication series

NameCommunications in Computer and Information Science


ConferenceUNESST: International Conference on U- and E-Service, Science and Technology
Abbreviated titleUNESST
CityJeju Island


  • Rules
  • Rule-Base
  • Decision Support System
  • Algorithms
  • Performance
  • Verification


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