Fusion of Numeric and Linguistic Data
-- A Neurofuzzy Approach to Data Fusion

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About Data Fusion
Simply put, data fusion is the combination of data or information in different formats, such as the numeric data of a accounting system, where values like $100 and $1,000,000 are used, and the linguistic information of a performance evaluation system, where words like "good" and "bad" are used.

The Neurofuzzy Approach
Neuro-fuzzy modeling is to use neural networks and fuzzy set theory to model practical systems. Zaptron has developed a proprietary neuro-fuzzy technology for the fusion of numeric data and linguistic information.

A Case Study
One set of data was given below to demonstrate the data fusion algorithm developed by Zaptron scientists.

Questions and comments

Email to webmaster@zaptron.com. Last updated January 26, 1999
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