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Proceedings Paper

Fuzzy rule-based decision support tool for data fusion system engineering
Author(s): Jane C. O'Brien; Mark D. Bedworth; Odin Taylor
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Paper Abstract

A decision support tool has been developed that advises on approach and algorithm selection for automated data analysis systems. These approaches and algorithms include the standard data and information fusion methods. The tool comprises a database of fuzzy rules in disjunctive normal form. These rules were obtained by eliciting heuristic knowledge from established practitioners of data fusion. The input to the system consists of a variety of problem characteristics, some of which are fuzzy quantities and others are crisp values. Where fuzzy granulation was required this again was elicited from experts. The final fuzzy rule based system has been implemented as a Windows executable called Equity, which is freely available to download from the World Wide Web.

Paper Details

Date Published: 3 April 2000
PDF: 10 pages
Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); doi: 10.1117/12.381660
Show Author Affiliations
Jane C. O'Brien, Univ. of Central England (United Kingdom)
Mark D. Bedworth, Univ. of Central England (United Kingdom)
Odin Taylor, Univ. of Sunderland (Netherlands Antilles)

Published in SPIE Proceedings Vol. 4051:
Sensor Fusion: Architectures, Algorithms, and Applications IV
Belur V. Dasarathy, Editor(s)

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