Information Fusion and Discounting Techniques for Decision Support in Aerospace
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.
Fiona Browne Yan Jin David Bell Weiru Liu Colm Higgins Niall Rooney Hui Wang
School of Mechanical & Aerospace Engineering Queen’s University Belfast School of Electronics, Electrical Engineering & Computer ScienceQueen’s University Belfast Artificial Intelligence & Applications Research GroupSchool of Computing & MathematicsUniversity of Artificial Intelligence & Applications Research Group School of Computing & Mathematics University o
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
857-862
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）