Entity

Time filter

Source Type

Beijing, China

Hu L.-F.,Navy Armament Academy | Hu L.-F.,Yantai Naval Aeronautical and Astronautical University | Guan X.,Yantai Naval Aeronautical and Astronautical University | Guan X.,National University of Defense Technology | He Y.,Yantai Naval Aeronautical and Astronautical University
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | Year: 2012

Target identification is a major practical application of information fusion, in which Dezert-Smarandache theory (DSmT) is a useful method for dealing with problems with uncertainties and is efficient in combining conflicting evidences. We put forward three temporal-spatial information fusion approaches including the centralized fusion approach, the distributed approach without-feedback and the distributed approach with-feedback. Especially, when integrity constraints are introduced to the system, it is necessary to employ the conflict distance parameter to determine the combination order of evidences. This will in some extent overcome the deficiency in noncommitative property in the hybrid DSm rule of combination. Numerical examples are provided to show the validity in applications of the proposed approach. Source


Hu L.-F.,Yantai Naval Aeronautical and Astronautical University | Hu L.-F.,Navy Armament Academy | Guan X.,Yantai Naval Aeronautical and Astronautical University | Guan X.,National University of Defense Technology | And 2 more authors.
Kongzhi yu Juece/Control and Decision | Year: 2011

A method is proposed for interval multi-attribute decision-making, in which the attribute values are in the form of interval numbers. The central decision making matrix is defined. Then, the general importance measurement of experts is derived through the similarity of two standardized decision making matrix. By using it, the equal reliability degree for alternatives is obtained. Furthermore, the alternatives are ranked by using the equal reliability degree. Finally, an illustrative numerical example shows the feasibility and effectiveness of the proposed method. Source


Hu L.-F.,Yantai Naval Aeronautical and Astronautical University | Hu L.-F.,Navy Armament Academy | Guan X.,Yantai Naval Aeronautical and Astronautical University | Guan X.,National University of Defense Technology | He Y.,Yantai Naval Aeronautical and Astronautical University
Kongzhi yu Juece/Control and Decision | Year: 2012

The decision-making method for the grey multiple attribute decision-making problems is presented. Firstly, a new kind of similar degree between two interval grey numbers is established by combining the Euclidean distance with grey correlation degree to appraise the scheme. Then, the average similar degree is constructed, which reflects the distance and the difference of data curves among a selected scheme, the ideal solution and negative ideal solution. Thus, this method has clear physical implication. Finally, an example is given to show the feasibility and effectiveness of the proposed method. Source


Hu L.,Yantai Naval Aeronautical and Astronautical University | Hu L.,Navy Armament Academy | He Y.,Yantai Naval Aeronautical and Astronautical University | Guan X.,Yantai Naval Aeronautical and Astronautical University | And 3 more authors.
Journal of Systems Engineering and Electronics | Year: 2011

The case when the source of information provides precise belief function/mass, within the generalized power space, has been studied by many people. However, in many decision situations, the precise belief structure is not always available. In this case, an interval-valued belief degree rather than a precise one may be provided. So, the probabilistic transformation of imprecise belief function/mass in the generalized power space including Dezert-Smarandache (DSm) model from scalar transformation to sub-unitary interval transformation and, more generally, to any set of sub-unitary interval transformation is provided. Different from the existing probabilistic transformation algorithms that redistribute an ignorance mass to the singletons involved in that ignorance proportionally with respect to the precise belief function or probability function of singleton, the new algorithm provides an optimization idea to transform any type of imprecise belief assignment which may be represented by the union of several sub-unitary (half-) open intervals, (half-) closed intervals and/or sets of points belonging to [0,1]. Numerical examples are provided to illustrate the detailed implementation process of the new probabilistic transformation approach as well as its validity and wide applicability. Source


He Y.,Yantai Naval Aeronautical and Astronautical University | Hu L.,Yantai Naval Aeronautical and Astronautical University | Hu L.,Navy Armament Academy | Guan X.,Yantai Naval Aeronautical and Astronautical University | And 3 more authors.
Science China Information Sciences | Year: 2012

There is doubt about Dempster's rule of combination because of counter-intuitive results when dealing with conflict information in intelligent reasoning. Therefore, many modified combination rules have been presented in the literature on multi-source information fusion and reasoning with uncertainty. However, the issue of identifying conflict among evidence has been ignored. A new parameter measuring conflict evidence called the conflict distance parameter is defined to determine whether there are conflicts in evidence based on the analysis of existing conflict parameters. At the same time, a decisive rule, which a reasonable conflict measure function should satisfy, is put forward. Finally, an analysis of two typical counter-intuitive situations is given, showing that the new parameter can not only satisfy the decisive rule, but can also attain the same effect as a two-dimensional measure when deciding whether to use the Dempster's rule of combination, and can exceed its effect when deciding whether to use Dezert-Smarandache theory. © 2011 Science China Press and Springer-Verlag Berlin Heidelberg. Source

Discover hidden collaborations