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Proceedings Paper

Empirical study of fuzzy compatibility measures and aggregation operators
Author(s): Valerie V. Cross; Thomas A. Sudkamp
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Paper Abstract

Two fundamental requirements for the generation of support using incomplete and imprecise information are the ability to measure the compatibility of discriminatory information with domain knowledge and the ability to fuse information obtained from disparate sources. A generic architecture utilizing the generalized fuzzy relational database model has been developed to empirically investigate the support generation capabilities of various compatibility measures and aggregation operators. This paper examines the effectiveness of combinations of compatibility measures from the set-theoretic, geometric distance, and logic- based classes paired with t-norm and generalized mean families of aggregation operators.

Paper Details

Date Published: 1 February 1992
PDF: 15 pages
Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57078
Show Author Affiliations
Valerie V. Cross, Wright State Univ. (United States)
Thomas A. Sudkamp, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 1607:
Intelligent Robots and Computer Vision X: Algorithms and Techniques
David P. Casasent, Editor(s)

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