Information fusion and discounting techniques for decision support in Aerospace

Fiona Browne, Yan Jin, David Bell, Weiru Liu, Colm Higgins, Niall Rooney, Hui Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Decision makers are required to make critical decisions throughout all stages of a life-cycle in large-scale projects. These decisions are important as they impact upon the outcome and the success of projects. In this paper we present an evidential reasoning framework to aid decision-makers in the decision making process. This approach utilizes the Dezert-Smarandache Theory (DSm) to fuse heterogeneous evidence sources that suffer from levels of uncertainty, imprecision and conflicts to provide beliefs for decision options. To analyze the impact that source reliability and priority has upon the decision making process a reliability discounting technique along with a priority discounting technique are applied. Application of the evidential reasoning framework is illustrated using a Case Study based in the Aerospace domain.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationUnited States
Publisher IEEE
Pages857-862
Number of pages6
DOIs
Publication statusPublished - 25 Jul 2012

Publication series

NameIEEE International Conference on Industrial Informatics: Proceedings
PublisherIEEE
ISSN (Print)1935-4576

Bibliographical note

IEEE 10th International Conference on Industrial Informatics ; Conference date: 25-07-2012

Keywords

  • Dezert-Smarandache theory
  • aerospace decision support
  • decision making process
  • evidential reasoning framework

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