Title
DSmT Qualitative Reasoning based on 2-Tuple Linguistic Representation Model
Abstract
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-Martinez' 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.
Year
DOI
Venue
2008
10.1109/ICYCS.2008.219
ICYCS
Keywords
Field
DocType
computational linguistics,informa- tion fusion,common-sense reasoning,linguistic information fusion,dsmt qualitative reasoning,herrera-martinez 2-tuple linguistic representation model,linguistic label,human report,linguistic labels.,dsmt,information retrieval,information fusion,qualitative information,qualitative dsmt-based fusion rule,uncertainty handling,linguistic information,qualitative reasoning,dezert-smarandache theory,qualitative belief,linguistic labels,2-tuple linguistic representation model,natural language,computational modeling,indexes,cognition,investments,common sense reasoning
Rule-based machine translation,Tuple,Computer science,Computational linguistics,Commonsense reasoning,Fusion rules,Natural language,Artificial intelligence,Natural language processing,Linguistics,Numeric Value,Qualitative reasoning
Conference
ISBN
Citations 
PageRank 
978-0-7695-3398-8
2
0.41
References 
Authors
4
4
Name
Order
Citations
PageRank
Xinde Li15011.00
Xianzhong Dai220525.27
Jean Dezert377761.59
Florentin Smarandache4728104.92