In Dempster–Shafer evidence theory (DST), some classical combination rules can be used to fuse the multiple pieces of evidence, respectively abstracted from different attributes (features) so as increase accuracy multiattribute classification decision making. However, most them have not yet considered interdependence among evidence. The newly proposed maximum likelihood evidential reasoning (MA...

Within the discipline of Combat ID, as related to high performance fighters, a problem of significant proportion that arises is how to determine quickly and accurately a target’s ID. Various algorithms, many of which are proprietary, that address this problem have been developed over the last decade. But their robustness in handling a new and unforeseen target threat environment leaves much to ...

This article addresses the use of evidential reasoning and majority voting in multi-sensor decision making for target di#erentiation using sonar sensors. Classi/cation of target primitives which constitute the basic building blocks of typical surfaces in uncluttered robot environments has been considered. Multiple sonar sensors placed at geographically di#erent sensing sites make decisions abou...

Diagrams are hybrid entities, which incorporate both linguistic and pictorial elements, and are crucial to any account of scientific and mathematical reasoning. Hence, they offer a rich source of examples to examine the relation between model-theoretic considerations (central to a model-based approach) and linguistic features (crucial to a language-based view of scientific and mathematical reas...

In the evidential reasoning approach of decision theory, different evidence weights can generate different combined results. Consequently, evidence weights can significantly influence solutions. In terms of the “psychology of economic man,” decision-makers may tend to seek similar pieces of evidence to support their own evidence and thereby form alliances. In this paper, we extend the concept o...

Critical decisions are made by decision-makers throughout the life-cycle of large-scale projects. These decisions are crucial as they have a direct impact upon the outcome and the success of projects. To aid decision-makers in the decision making process we present an evidential reasoning framework. This approach utilizes the Dezert-Smarandache theory to fuse heterogeneous evidence sources that...

Evidential reasoning is hard, and errors can lead to miscarriages of justice with serious consequences. Analytic methods for the correct handling of evidence come in different styles, typically focusing on one of three tools: arguments, scenarios or probabilities. Recent research used Bayesian Networks for connecting arguments, scenarios, and probabilities. Well-known issues with Bayesian Netwo...

This paper reports the application of an evidential reasoning (ER) approach, to deal with the evaluation of a contractor, from among different fabrication options of aero-engine equipment. This is followed by a review of current evaluation practices, which begins by highlighting their limitations and then goes on to justify the use of an evidential reasoning approach. The evaluation model is di...