Perceptual Reasoning for Perceptual Computing: A Similarity-Based Approach

Dongrui Wu; Jerry M. Mendel

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Perceptual Reasoning for Perceptual Computing: A Similarity-Based Approach

机译：Perceptual Reasoning for Perceptual Computing: A Similarity-Based Approach

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摘要

Perceptual reasoning (PR) is an approximate reasoning method that can be used as a computing-with-words (CWW) engine in perceptual computing. There can be different approaches to implement PR, e.g., firing-interval-based PR (FI-PR), which has been proposed in J. M. Mendel and D. Wu, IEEE Trans. Fuzzy Syst., vol. 16, no. 6, pp. 1550-1564, Dec. 2008 and similarity-based PR (S-PR), which is proposed in this paper. Both approaches satisfy the requirement on a CWW engine that the result of combining fired rules should lead to a footprint of uncertainty (FOU) that resembles the three kinds of FOUs in a CWW codebook. A comparative study shows that S-PR leads to output FOUs that resemble word FOUs, which are obtained from subject data, much more closely than FI-PR; hence, S-PR is a better choice for a CWW engine than FI-PR.

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来源
《IEEE Transactions on Fuzzy Systems: A Publication of the IEEE Neural Networks Council》 |2009年第6期|1397-1411|共15页
作者
Dongrui Wu; Jerry M. Mendel;
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作者单位

Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类自动化系统;
关键词
Approximate reasoning; Computing with words (CWWs); Firing intervals (FIs); Interval type-2 fuzzy sets; Perceptual computing; Perceptual reasoning (PR); Rule-based systems; Similarity;

Perceptual Reasoning for Perceptual Computing: A Similarity-Based Approach

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