Piecewise Multilinear System Modeling Algorithms Using Numerical Data
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- Taniguchi Tadanari
- Tokai University
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- Sugeno Michio
- Tokyo Institute of Technology
Bibliographic Information
- Other Title
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- 数値データによる区分的システムのモデル化
Abstract
<p>In this study, we proposed a piecewise modeling method using numerical data. The vertex values of hyperrectangular regions were determined using the learning algorithm based on a simplified fuzzy inference model because the piecewise model was represented by a fuzzy if-then rule with singleton consequents. The proposed algorithm can be used to determine the vertex values and positions of segmented regions and with minimum modeling errors. A example was considered to demonstrate the effectiveness of the proposed method using numerical simulations.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 39 (0), 428-432, 2023
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390299086443517568
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed