A satisfaction degree of D numbers and its application in multi-criteria decision making

Bo Liu, Yebi Cui, Xinyang Deng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The introduction of uncertainty theory into the field of decision making provides a solution for the processing of qualitative information. In the field of uncertain information decision making, there are many widely used theoretical methods, such as D-S evidence theory and D number theory. Recently, Yager proposed a method for evaluating the satisfaction of belief structure based on uncertain target values based on D-S evidence theory. However, there is no related research on satisfaction evaluation in D number theory. In this paper, combined with fuzzy set theory, a calculation method of D numbers satisfaction is proposed. Given the element correlation, the decision information is effectively processed by generating a correlation fuzzy membership function. An application example of a manufacturing company selecting a supplier illustrates the effectiveness of the calculation method in this paper.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5297-5302
Number of pages6
ISBN (Electronic)9781728158549
DOIs
StatePublished - Aug 2020
Event32nd Chinese Control and Decision Conference, CCDC 2020 - Hefei, China
Duration: 22 Aug 202024 Aug 2020

Publication series

NameProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

Conference

Conference32nd Chinese Control and Decision Conference, CCDC 2020
Country/TerritoryChina
CityHefei
Period22/08/2024/08/20

Keywords

  • Belief structure satisfaction
  • D numbers
  • Dempster - Shafer belief structure

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