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

Volume

1

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

505

Lastpage

509

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AICI.2009.171

Filename

5376284