A Fuzzy Directional Distance Measure
Artificial Intelligence
2014-09-04 v1
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.
Keywords
Cite
@article{arxiv.1409.1045,
title = {A Fuzzy Directional Distance Measure},
author = {Josie C. McCullochy and Chris J. Hinde and Christian Wagner and Uwe Aickelin},
journal= {arXiv preprint arXiv:1409.1045},
year = {2014}
}
Comments
Proceedings of the 2014 World Congress on Computational Intelligence (WCCI 2014), pp. 141-148, 2014