Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2010
Abstract
In this paper, we present a new 2-tuple linguistic representation model, i.e. Distribution Function Model (DFM), for combining imprecise qualitative information using fusion rules drawn from Dezert-Smarandache Theory (DSmT) framework. Such new approach allows to preserve the precision and efficiency of the combination of linguistic information in the case of either equidistant or unbalanced label model. Some basic operators on imprecise 2-tuple labels are presented together with their extensions for imprecise 2-tuple labels. We also give simple examples to show how precise and imprecise qualitative information can be combined for reasoning under uncertainty. It is concluded that DSmT can deal efficiently with both precise and imprecise quantitative and qualitative beliefs, which extends the scope of this theory.
Publisher
Springer Science+Business Media
Publication Title
Appl. Intell.
Volume
33
First Page
340
Last Page
351
DOI
DOI 10.1007/s10489-009-0170-2
Language (ISO)
English
Keywords
Information fusion, Qualitative reasoning under uncertainty, DSmT, Imprecise belief structures, 2-Tuple linguistic label
Recommended Citation
Smarandache, Florentin; Xinde Li; Xianzhong Dai; and Jean Dezert.
"Fusion of imprecise qualitative information."
Appl. Intell.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
Automotive Engineering Commons, Aviation Commons, Mathematics Commons, Navigation, Guidance, Control and Dynamics Commons, Other Aerospace Engineering Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Engineering Commons
