Dempster-Shafer Evidence Theory(DST) enables multi-sensor data fusion, which makes it possible to infer the context. In this paper, we propose about how to use multi-sensor data fusion to infer context in the dynamic circumstances. Dynamic circumstance means a changing of the situation or the surrounding itself, and particularly signifies that there is a changeable factor in a specific environm...

Dempster–Shafer evidence theory has been widely used in various fields of applications. Besides, it has been proven that the quantum theory has powerful capabilities of solving the decision making problems. However, due to the inconsistency of the expression, the classical Dempster–Shafer evidence theory modelled by real numbers can not be integrated directly with the quantum theory modelled by...

In this paper, a new Fuzzy Morphology (FM) based on the GeneralizedDempster-Shafer Theory (GDST) is proposed. At first, in order to clarify the similarity ofdefinitions between Mathematical Morphology (MM) and Dempster-Shafer Theory (DST),dilation and erosion morphological operations are studied from a different viewpoint. Then,based on this similarity, a FM based on the GDST is proposed. Unlik...

The Dempster–Shafer theory (DST) may be considered as a generalization of the probability theory, which assigns mass values to the subsets of the referential set and suggests an interval-valued probability measure. There have been several attempts for fuzzy generalization of the DST by assigning mass (probability) values to the fuzzy subsets of the referential set. The interval-valued probabili...

UNLABELLED A method is described for the analysis of the results obtained from the docking studies applied on a protein target and small molecules chemical compounds as ligands from various sources using different docking tools. We show the use of Dempster Shafer Theory (DST) to select the high ranking top compounds for further analysis and consideration. AVAILABILITY Application is freely av...

Picture fuzzy set is the most widely used tool to handle uncertainty with account of three membership degrees, namely, positive, negative, and neutral such that their sum bound up 1. It generalization existing intuitionistic sets. This paper studies interval probability problems picture sets belief structure. The function a vital represent uncertain information in more effective manner. On othe...

In this paper we present simple examples showing the insensitivity of Dempster’s rule of combination proposed in Dempster-Shafer Theory (DST) of evidence with respect to the level of conflict between two sources of evidences. Aside famous Zadeh’s example on the validity of Dempster’s rule of combination, it is shown that for an infinite number of cases Dempster’s rule does not respond adequatel...

The Dempster–Shafer theory of evidence (DST) has been widely used to handle uncertainty-based information. It is based on the concept basic probability assignment (BPA). Belief intervals are easier manage than a BPA represent For this reason, several uncertainty measures for DST recently proposed belief intervals. In study, we carry out study about crucial mathematical properties and behavioral...

In this paper, an extended ranking method for fuzzy numbers, which is a synthesis of fuzzy targets and the Dempster–Shafer Theory (DST) of evidence, is devised. The use of fuzzy targets to reflect human viewpoints in fuzzy ranking is not new. However, different fuzzy targets can lead to contradictory fuzzy ranking results; making it difficult to reach a final decision. In this paper, the result...

DS/AHP is a technique for multi-criteria decision making (MCDM), based on the Dempster-Shafer Theory of evidence (DST) and the Analytic Hierarchy Process (AHP). Since its introduction it has been developed and applied by a number of authors, as well as form the foundation for other DST related MCDM techniques. This paper reviews the evolution and impact of DS/AHP, culminating in a critical pers...