Title :
Platform type fuzzy number and separability of fuzzy number space. Part II
Author :
Su, Lian-Qing ; Li, Fa-chao ; Luo, Shu-xin
Author_Institution :
Coll. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
For pt.1 see ibid., vol.117, p.347-353 (2001). We show that the family of all platform type fuzzy numbers is separable with respect to the uniform Hausdorff metric, thus deducing that this family is also separable with respect to the uniform symmetric difference metric. Subsequently, the family of all rational step type fuzzy numbers, which is a countable set, is claimed to be dense in the previous two spaces with rational platform heights, and the family of all step type fuzzy numbers be dense in fuzzy number space with respect to the previous two metrics. Finally, we investigate the separability of weak fuzzy number space with respect to the two metrics. All these results offer a good path to process general fuzzy numbers by using simple fuzzy numbers sequence.
Keywords :
fuzzy set theory; fuzzy number space separability; platform type fuzzy number; step type fuzzy number; uniform Hausdorff metrics; uniform symmetric difference metrics; Cybernetics; Differential equations; Educational institutions; Extraterrestrial measurements; Fuzzy sets; Machine learning; Q measurement; Space technology; Technology management; Fuzzy numbers; platform type fuzzy numbers; separation; step type fuzzy numbers; uniform Hausdorff metric; uniform symmetric difference metric;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527376