Title :
Interval-Valued Intuitionistic Fuzzy Approximate Reasoning Based on a New Similarity Measure
Author :
Zhang, Qiansheng ; Jiang, ShengYi
Author_Institution :
Sch. of Inf. Sci. & Technol., Guangdong Univ. of Foreign Studies, Guangzhou, China
Abstract :
This paper presents a new similarity measure and its weighted similarity measure for interval-valued intuitionistic fuzzy sets (IvIFSs) based on score function and Hausdorff distance. The proposed new method for measuring the degree of similarity of IvIFs can be efficiently applied to the general IvIF approximate reasoning. Some numeric examples are given to illustrate the practicability and rationality of our proposed method.
Keywords :
fuzzy set theory; inference mechanisms; multivalued logic; Hausdorff distance; interval valued intuitionistic fuzzy approximate reasoning; score function; similarity measure; Artificial intelligence; Computational intelligence; Fuzzy reasoning; Fuzzy sets; Gold; In vitro fertilization; Information science; Paper technology; Uncertain systems; Weight measurement; approximate reasoning; fuzzy rule; interval valued intuitionistic fuzzy set; similarity measure;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.171
