Determination of basic probability assignment based on sample difference degree

Wen Jiang, Yun Dong Chen, Chao Tang, Cui Cui Wu, Yu Luo

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A method of generating basic probability assignment(BPA) based on sample difference degree is proposed. The triangle fuzzy number models are established, and the proposed difference degree function is used to calculate the difference between the models and the sample under test to generate the initial BPA. In order to eliminate interference effects, the distance between the evidences is calculated, and conflicts are resolved according to the distance calculated and the threshold. In this way, it can output reasonable BPA under the condition of interference and so on. The iris data classification test shows that the proposed method is simple and practical, and has strong ability of interference elimination.

Original languageEnglish
Pages (from-to)71-75
Number of pages5
JournalKongzhi yu Juece/Control and Decision
Volume30
Issue number1
DOIs
StatePublished - 1 Jan 2015

Keywords

  • Basic probability assignment
  • Classification
  • Evidence theory
  • Fuzzy number

Fingerprint

Dive into the research topics of 'Determination of basic probability assignment based on sample difference degree'. Together they form a unique fingerprint.

Cite this