基于感知推理方法的语言动态系统的特性与数据驱动设计

Q2 Computer Science

自动化学报 Pub Date : 2014-10-01 DOI:10.1016/S1874-1029(14)60360-8

Cheng-Dong LI , Gui-Qing ZHANG , Hui-Dong WANG , Wei-Na REN

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引用次数: 9

摘要

基于1型模糊集的语言动态系统为复杂系统的建模、分析、评价和控制提供了强有力的工具。然而，正如早期的研究指出的那样，采用2型模糊集来建模语言词汇的现有不确定性更为合理。本文研究了基于2型模糊集的LDS，并通过感知推理方法实现了其推理过程。探讨了基于感知推理方法的LDS (PR-LDS)的特性。这些特性表明，PR-LDS的输出是直观的，当规则库中的后续2型模糊数满足一定条件时，可以降低计算复杂度。此外，还提供了一种数据驱动的PR-LDS设计方法。最后，通过算例验证了所提数据驱动方法的有效性和合理性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Properties and Data-driven Design of Perceptual Reasoning Method Based Linguistic Dynamic Systems

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.

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来源期刊

自动化学报 Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

4.80

自引率

0.00%

发文量

6655

期刊介绍： ACTA AUTOMATICA SINICA is a joint publication of Chinese Association of Automation and the Institute of Automation, the Chinese Academy of Sciences. The objective is the high quality and rapid publication of the articles, with a strong focus on new trends, original theoretical and experimental research and developments, emerging technology, and industrial standards in automation.