Dempster–Shafer (D-S) evidence theory plays an important role in multisource data fusion. Due to the nature of Dempster combination rule, there can be counterintuitive results when fusing highly conflicting data. To date, conflict management D-S is still open issue. Inspired by modification considering internal indeterminacy and external support, a novel method for fusion proposed based on impr...

china is one of the largest grain producing and consuming nations in the world and the importance of grain security to the chinese can never be overemphasized. in this paper, we present a comprehensive early-warning model for evaluating the status of grain security in china. the model is based on the analytic hierarchy process (ahp) method and the dempster–shafer theory (dst). we divided the ri...

This paper presents an algorithm for developing models under Dempster-Shafer theory of belief functions for categorical and 'uncertain' logical relationships among binary variables. We illustrate the use of the algorithm by developing belief-function representations of the following categorical relationships: 'AND', 'OR', 'Exclusive OR (EOR)' and 'Not Exclusive OR (NEOR)', and 'AND-NEOR' and of...

Geographic Information Systems (GIS) is an innovative mapping technology used around the world to identify boundaries of geographic features, infrastructure, and myriad uses across the landscape. Historically a land-based application, the use of GIS in coastal ecosystems is growing (Nath et al. 2000, Babcock et al.2005, Dempster and Sanchez-Jerez 2008). Coastal areas are heavily used for shippi...

This paper addresses the approximation of belief functions by probability functions where the approximation is based on minimizing the Euclidean distance. First of all, we simplify this optimization problem so it becomes equivalent to a standard problem in linear algebra. For the simplified optimization problem, we provide the analytic solution. Furthermore, we show that for Dempster-Shafer bel...

There is a problem of applying of combining rules to evidence which were got from different information sources in framework of Dempster-Shafer theory. In this work the conflict measure and index of decreasing of ignorance in frame of Dempster-Shafer theory are introduced for characterization of quality of applied combining rules. Those functionals are analyzed on the bodies of evidences of spe...

The solution of the prediction problem is presented for the finite possibilistic modelling [3,4,6,7]. A recurrent variant of finite possibilistic models is considered. In this variant, we define the regularization condition for constructing a quasi-optimal estimator of fuzzy transition operator (FTO). We construct the discrete recurrent extremal fuzzy process with possibilistic uncertainty, the...