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2008
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DSmT Qualitative Reasoning based on 2-Tuple Linguistic Representation Model

9 years 8 months ago
DSmT Qualitative Reasoning based on 2-Tuple Linguistic Representation Model
Most of modern systems for information retrieval, fusion and management have to deal more and more with information expressed quatitatively (by linguistic labels) since human reports are better and easier expressed in natural language than with numbers. In this paper, we propose to use Herrera-Mart´ınez’ 2-Tuple linguistic representation model (i.e. equidistant linguistic labels with a numeric value assessment) for reasoning with uncertain and qualitative information in Dezert-Smarandache Theory (DSmT) framework to preserve the precision and the efficiency of the fusion of linguistic information expressing the expert’s qualitative beliefs. We present operators to deal with the 2-Tuples and show from a simple example how qualitative DSmT-based fusion rules can be used for qualitative reasoning and fusioning under uncertainty.
Xinde Li, Xianzhong Dai, Jean Dezert, Florentin Sm
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ICYCS
Authors Xinde Li, Xianzhong Dai, Jean Dezert, Florentin Smarandache
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