A new type reduction method for type-2 fuzzy logic controller

In interval type-2 fuzzy logic systems (IT2-FLSs), the inference engine outputs are type-2 fuzzy sets, and type reduction (TR) is needed to convert them into a type reduced set. Recently, researchers have proposed many efficient TR algorithms to find the boundary of the type reduced set, but they do...

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Bibliographic Details
Published in2013 CACS International Automatic Control Conference (CACS) pp. 334 - 338
Main Authors Tzyy-Chyang Lu, Shyh-Leh Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2013
Subjects
Algorithm design and analysis
backing up control
Decision support systems
Fuzzy logic
Indexes
Inference algorithms
interval type-2 fuzzy logic systems (IT2-FLSs)
Simulation
type reduction (TR)
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Summary:In interval type-2 fuzzy logic systems (IT2-FLSs), the inference engine outputs are type-2 fuzzy sets, and type reduction (TR) is needed to convert them into a type reduced set. Recently, researchers have proposed many efficient TR algorithms to find the boundary of the type reduced set, but they don't have an effective scheme to obtain the defuzzified crisp output. In this paper, we propose an optimal TR method, which searches the optimal point from the type reduced set as a defuzzified output. In order to demonstrate the effectiveness and superiority of the proposed method, simulations and comparisons are given. Simulation results show that the designed interval type-2 fuzzy logic controller (IT2-FLC) can smoothly achieve backing up control of the mobile robot from all initial positions.
DOI:10.1109/CACS.2013.6734156