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

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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