Title :
A fuzzy directional distance measure
Author :
McCulloch, J.C. ; Hinde, C.J. ; Wagner, Christoph ; Aickelin, Uwe
Author_Institution :
Dept. of Comput. Sci., Univ. of Nottingham, Nottingham, UK
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 :
fuzzy set theory; fuzzy directional distance measure; fuzzy set theory; Computer science; Frequency selective surfaces; Fuzzy sets; Gold; Measurement uncertainty; Semantics; Uncertainty;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891575