Properties and data-driven design of perceptual reasoning method based linguistic dynamic systems

被引：0
|
作者：
机构：
[1] Li, Cheng-Dong
[2] Zhang, Gui-Qing
[3] Wang, Hui-Dong
[4] Ren, Wei-Na
来源：
Li, Cheng-Dong | 1600年 / Science Press卷 / 40期
基金：
中国国家自然科学基金;
关键词：
Computing with words - Data-driven design - Data-driven methods - Linguistic dynamic systems - Perceptual reasoning - Property - Reasoning methods - Type-1 fuzzy sets - Type-2 fuzzy - Type-2 fuzzy set;
D O I：
10.1016/s1874-1029(14)60360-8
中图分类号：
学科分类号：
摘要：
The linguistic dynamic systems (LDSs) based on type-1 fuzzy sets can provide a powerful tool for modeling, analysis, evaluation and control of complex systems. However, as pointed out in earlier studies, it is much more reasonable to take type-2 fuzzy sets to model the existing uncertainties of linguistic words. In this paper, the LDS based on type-2 fuzzy sets is studied, and its reasoning process is realized through the perceptual reasoning method. The properties of the perceptual reasoning method based LDS (PR-LDS) are explored. These properties demonstrated that the output of PR-LDS is intuitive and the computation complexity can be reduced when the consequent type-2 fuzzy numbers in the rule base satisfy some conditions. Further, a data driven method for the design of the PR-LDS is provided. At last, the effectiveness and rationality of the proposed data-driven method are verified by an example. Copyright © 2014 Acta Automatica Sinica. All rights reserved.
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