Josie McCulloch
A fuzzy directional distance measure
McCulloch, Josie; Hinde, Chris; Wagner, Christian; Aickelin, Uwe
Authors
Chris Hinde
CHRISTIAN WAGNER Christian.Wagner@nottingham.ac.uk
Professor of Computer Science
Uwe Aickelin
Abstract
The measure of distance between two fuzzy sets is a fundamental tool within fuzzy set theory, however, distance measures currently within the literature use a crisp value to represent the distance between fuzzy sets. A real valued distance measure is developed into a fuzzy distance measure which better reflects the uncertainty inherent in fuzzy sets and a fuzzy directional distance measure is presented, which accounts for the direction of change between fuzzy sets. A multiplicative version is explored as a full maximal assignment is computationally intractable so an intermediate solution is offered.
Citation
McCulloch, J., Hinde, C., Wagner, C., & Aickelin, U. (2014). A fuzzy directional distance measure.
Conference Name | 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
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Publication Date | Jul 8, 2014 |
Deposit Date | Sep 30, 2014 |
Publicly Available Date | Sep 30, 2014 |
Peer Reviewed | Peer Reviewed |
Keywords | Fuzzy, Logic |
Public URL | https://nottingham-repository.worktribe.com/output/732843 |
Publisher URL | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6891575 |
Additional Information | Published in: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway, NJ : IEEE, 2014. (ISBN: 9781479920730), pp. 141-148 (doi: 10.1109/FUZZ-IEEE.2014.6891575), © 2014 IEEE |
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