Title :
Lattice-valued interval sets and t-representable interval set t-norms
Author :
Zhang, Xiaohong ; Jia, Xiuyi
Author_Institution :
Dept. of Math., Ningbo Univ., Ningbo, China
Abstract :
Interval sets were proposed by Yiyu Yao in 1993. Interval set theory is related to interval analysis, rough set, fuzzy set and flou set, it can be regarded as a new tool for representing incomplete and uncertain information. In this paper, we introduce the notion of lattice-valued interval set, and investigate its basic algebra operations. We divide the operations into two kinds: inducible and non-inducible. Moreover, we propose the notion t-representable interval set t-norms, and prove a fundamental theorem related residuated implication of t-representable interval set t-norms.
Keywords :
algebra; fuzzy set theory; algebra operation; flou set theory; fuzzy set theory; incomplete representation; lattice-valued interval set theory; rough set theory; t-representable interval set t-norm; uncertain information represention; Algebra; Fuzzy set theory; Fuzzy sets; Gold; Information analysis; Laboratories; Mathematics; Rough sets; Set theory; Vocabulary; Inductive operation; interval set; lattice-valued interval set; t-norm; t-representable interval set t-norm;
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
DOI :
10.1109/COGINF.2009.5250716