Measuring Conflicts of Multisource Imprecise Information in Multistate System Reliability Assessment

In engineering scenarios, expert judgments play an essential role in reliability assessment, especially for those systems with few historical data. To achieve a rational result, experts from different areas should be involved, and the uncertainties their assessments properly addressed. Such information is often referred to as multisource imprecise (MSII) might contain high degree of conflicts, usually have expertise knowledge. Properly quantifying conflicts among MSII, then, becomes critical issue, subsequent processing MSII (e.g., combination calibration), depends on conflict MSII. this end, new measure put forth based Dempster–Shafer theory (DST) quantify visualize group experts. first place, each used construct basic belief assignment (BBA) estimates corresponding under DST. A 2-D measure, which combines factor Jousselme distance DST, is, proposed between experts’ BBAs. The quantified two perspectives, viz., mutual total conflict. Finally, Bhattacharyya distance-based method developed further informativeness expert's system estimate. numerical example along case validate effectiveness approach.