Reliability Learning for Interval Type-2 TSK Fuzzy Logic System with its Application to Medical Diagnosis

Qiongdan Lou, Zhaohong Deng, Guanjin Wang, Kup Sze Choi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

To apply intelligent model in serious practical applications like medical diagnosis, the reliability and interpretability of the model are very important to users. Among the existing intelligent models, type-2 fuzzy systems are distinctive in interpretability and modeling uncertainty. However, like most existing models, the reliability determination of fuzzy system for recognition task training is an unsolved problem. In this study, a method of constructing minimax probability interval type-2 TSK fuzzy logic system classifier (MP-IT2TSK-FLSC) based on reliability learning is proposed. The classifier can provide the lower limit of the correct classification of the model and is an important index to quantify the reliability of the model. Experimental results on medical datasets have demonstrated the advantages of this method, exhibiting remarkable interpretability and reliability of the proposed fuzzy classifier.

Original languageEnglish
Title of host publicationProceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019
EditorsLi Zou, Lingling Fang, Bo Fu, Panpan Niu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-50
Number of pages8
ISBN (Electronic)9781728123486
DOIs
Publication statusPublished - Nov 2019
Event14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019 - Dalian, China
Duration: 14 Nov 201916 Nov 2019

Publication series

NameProceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019

Conference

Conference14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019
Country/TerritoryChina
CityDalian
Period14/11/1916/11/19

Keywords

  • classification
  • minimax probability decision
  • model reliability
  • Type-2 fuzzy logic system

ASJC Scopus subject areas

  • Management Information Systems
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Health Informatics

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