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<p>Recently, fuzzy identification on the basis of system identification has become a popular research issue. The paper provides a type of interval type-2 fuzzy logic system (IT2 FLS) to deal with fuzzy identification issues. Here both the antecedents and consequents for IT2 FLS are selected as the Gaussian type-2 membership functions. The hybrid back propagation algorithms and recursive least square algorithms are used for tuning all the parameters. For two fuzzy identification problems, the non-singleton IT2 FLS identifier show superior generalization capability in contrast to two kinds of type-1 FLSs identifiers according to simulation experiment studies.</p>

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Design of Hybrid Optimized Interval Type-2 Fuzzy Logic System for Fuzzy Identification

  • 期刊论文

  • 发表日期：

    2025年10月2日

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  • Yang Chen

摘要

Recently, fuzzy identification on the basis of system identification has become a popular research issue. The paper provides a type of interval type-2 fuzzy logic system (IT2 FLS) to deal with fuzzy identification issues. Here both the antecedents and consequents for IT2 FLS are selected as the Gaussian type-2 membership functions. The hybrid back propagation algorithms and recursive least square algorithms are used for tuning all the parameters. For two fuzzy identification problems, the non-singleton IT2 FLS identifier show superior generalization capability in contrast to two kinds of type-1 FLSs identifiers according to simulation experiment studies.