An Alternative Type Reduction Approach Based on Information Combination with Interval Operations for Interval-Valued Fuzzy Sliding Controllers

Chin Wang Tao, Jinshiuh Taur, Chia Wen Chang*, Huei Rong Chen

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

4 Scopus citations

Abstract

In this paper, an alternative type reduction approach based on information combination with crisp interval operations (crisp interval operation type reduction [CIOTR]) is presented to avoid the time-consuming difficulty in the type reduction procedure for the mainly used interval-valued membership functions (MFs). Multiinformation is considered to be included in the primary MF of an interval-valued fuzzy set (FS). Interval operations are utilized to combine the multiinformation. With the integrated information, an interval-valued FS is reduced to be a simple FS. The proposed type reduction approach (CIOTR) is also applied to the design of a hybrid interval-valued fuzzy sliding controller (HFSCIV) for a double-pendulum-and-cart system. The simulation results are included to show the effectiveness of the designed HFSCsIV using the CIOTR.

Original languageEnglish
Pages (from-to)291-309
Number of pages19
JournalInternational Journal of Intelligent Systems
Volume32
Issue number3
DOIs
StatePublished - 01 03 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 Wiley Periodicals, Inc.

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