Method of fuzzy-evidence reasoning based on similarity measure

Author

Liu Yingping ; Lin Zhigui ; Xiao Zhitao

Author_Institution

Sch. of Mech. & Electron. Eng., Tianjin Polytech. Univ., Tianjin, China

Volume

1

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

226

Lastpage

230

Abstract

On the basis of analyzing generalized methods of evidence reasoning to fuzzy set, a method of fuzzy-evidence reasoning based on similarity measure is proposed. Similarity measure of fuzzy sets is introduced to determine contribution factors of fuzzy focal elements to belief function and plausibility function in the method. Based on the measure, basic probability assignment values are modified and an efficient fuzzy-evidence combinational rule is proposed. Finally, with examples, the proposed method is compared with some existing generalized ones, and the results show the method is effective in sensitivity of belief function to the change of fuzzy focal elements and catching more information from the change.

Keywords

fuzzy reasoning; fuzzy set theory; probability; uncertainty handling; belief function; fuzzy focal elements; fuzzy set; fuzzy-evidence combinational rule; fuzzy-evidence reasoning; plausibility function; probability assignment values; similarity measurement; Cognition; Educational institutions; Fuzzy sets; Level set; Manganese; Mechanical variables measurement; Sensitivity; D-S evidence theory; combinational rul; fuzzy sets; information fusion; similarity measure;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5931-5

Type

conf

DOI

10.1109/FSKD.2010.5569689

Filename

5569689