Paper Info
Title
Combination of Qualitative Information with 2-Tuple Linguistic Representation in DSmT.
Abstract
Modern systems for information retrieval, fusion and management need to deal more and more with information coming from human experts usually expressed qualitatively in natural language with linguistic labels. In this paper, we propose and use two new 2-Tuple linguistic representation models (i.e., a distribution function model (DFM) and an improved Herrera-Martínez’s model) jointly with the fusion rules developed in Dezert-Smarandache Theory (DSmT), in order to combine efficiently qualitative information expressed in term of qualitative belief functions. The two models both preserve the precision and improve the efficiency of the fusion of linguistic information expressing the global expert’s opinion. However, DFM is more general and efficient than the latter, especially for unbalanced linguistic labels. Some simple examples are also provided to show how the 2-Tuple qualitative fusion rules are performed and their advantages.
Year
DOI
Venue
2009
10.1007/s11390-009-9258-8
J. Comput. Sci. Technol.
Keywords
DocType
Volume
Dezert-Smarandache Theory (DSmT),Information fusion,Linguistic labels,Qualitative reasoning
Journal
24
Issue
ISSN
Citations 
4
null
6
PageRank 
References 
Authors
0.56
11
4
Name
Order
Citations
PageRank
Xinde Li15011.00
Florentin Smarandache2728104.92
Jean Dezert377761.59
Xianzhong Dai420525.27