Title :
Fuzzimetric Type-2 sets representation using fuzzimetric arcs
Author_Institution :
Bus. Sch. - ITOM Dept., Lebanese American Univ., Beirut, Lebanon
Abstract :
This paper proposes the implementation of Fuzzimetric Arcs concept, which was originally designed for Fuzzy Type-1. The concept has been extended in this paper to accommodate the Fuzzy type-2 notation. The new proposed representation of Fuzzy Type-2, termed in this paper as Fuzzimetric Type-2, includes the definition of “Degree of Fuzziness” (DOF), that allows the fuzzy set to be located fuzzily (randomly) between upper and lower bounds as defined in this paper. It has been shown that Fuzzimetric Type-1 is only a subset of Fuzzimetric Type-2 by setting the DOF value to zero.
Keywords :
fuzzy set theory; DOF; degree of fuzziness; fuzzimetric arcs concept; fuzzimetric type-2 set representation; fuzzy type-1 notation; fuzzy type-2 notation; Equations; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Shape; Uncertainty; FRBS; Fuzzy control; Fuzzy decision making system; Fuzzy sets Type-2; Fuzzy system developments;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5147-5
DOI :
10.1109/FSKD.2014.6980799