Parameter optimization for intuitionistic trapezoidal fuzzy model using multiple objective programming method

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

Abstract

A Multiple Objective Programming Method for an Intuitionistic Trapezoidal Fuzzy Model (MOPM-ITFM) is proposed to improve the accuracy of estimation by optimizing the parameters. The advantage of the proposal is more realistic to consider the degrees of both the acceptance and the rejection of intuitionistic trapezoidal fuzzy number (ITFN) than conventional fuzzy model only considering the former. The proposal is realized by tuning the membership function shapes, the adaptive factors of matching degree and the rule weights. The constraint condition of the proposal is considered in the definition of ITFN. Input fuzzy partitions of an Intuitionistic Trapezoidal Fuzzy Model (ITFM) are modified through the proposal. MOPM-ITFM has been used for a medical diagnosis. Compared with Single Objective Programming Method (SOPM), the results show that the mean square error (MSE) between the output given by domain experts and the output of (MOPM-ITFM) improves 47% than that of SOPM. In the further work, the interpretability of input fuzzy partitions is also needed to be improved in ITFM.

Original languageEnglish
Title of host publicationUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
EditorsJie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages602-611
Number of pages10
ISBN (Electronic)9789813146969
DOIs
Publication statusPublished - 2016
EventUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France
Duration: 24 Aug 201626 Aug 2016

Publication series

NameUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

Conference

ConferenceUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
Country/TerritoryFrance
CityRoubaix
Period24/08/1626/08/16

Keywords

  • Adaptive factors
  • Fuzzy model
  • Mean square error
  • Medical diagnosis
  • Parameter optimization

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