Modeling a fuzzy rule based expert system combining positive and negative knowledge for medical consultations using the importance of symptoms

Mai Thi Nu, Nguyen Hoang Phuong, K. Hirota

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The paper is to present an approach to including the importance of symptoms to a fuzzy rule based expert system combining positive and negative knowledge for medical consultations. We describe the rule base consisting of positive fuzzy rule for confirmation of conclusion and negative fuzzy rules for exclusion of conclusion with degrees of importance of symptoms. We also propose extend Max-Min inference systems by adding t-norm for calculating degrees of importance of symptoms. To combining positive and negative knowledge, an ordered Albelian group operation is applied. Based on this approach, the system can adapt more with real clinical application of medical consultation. Some examples to show the advantage of this approach are presented.

Original languageEnglish
Title of host publicationIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509049172
DOIs
Publication statusPublished - 30 Aug 2017
Event17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017 - Otsu, Japan
Duration: 27 Jun 201730 Jun 2017

Publication series

NameIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems

Conference

Conference17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017
Country/TerritoryJapan
CityOtsu
Period27/06/1730/06/17

Keywords

  • fuzzy rule based expert systems
  • positive and negative knowledge
  • the importance of symptoms

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