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.
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Smarandache F, Dezert J. (eds.). Advances and Applications of DSmT for Information Fusion, Vol.1 & Vol.2, Rehoboth: American Research Press, 2004 & 2006, http://fs.gallup.unm.edu//DSmT.htm.
Dezert J, Smarandache F. A new probabilistic transformation of belief mass assignment. In Proc. Fusion 2008, Cologne, Germany, June 30–July 3, 2008.
Li X, Huang X, Dezert J. Smarandache F. Enrichment of qualitative beliefs for reasoning under uncertainty. In Proc. Fusion 2007, Quebec, Canada, July 9–12, 2007.
Herrera F, Martínez L. A 2-Tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Systems, 2000, 8(6): 746–752.
Herrera F, Martínez L. The 2-Tuple linguistic computational model. Advantages of its linguistic description, accuracy and consistency. Int. J. Uncertain., Fuzz. Knowl.-Based Syst., 2001, 9(Suppl.): 33–49.
Herrera F, Martínez L. A model based on linguistic 2-Tuples for dealing with multi-granular hierarchical linguistic contexts in multi-expert decision-making. IEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics, 2001, 31(2): 227–234.
Herrera F, Herrera-Viedma E, Martínez L. A fuzzy linguistic methodology to deal with unbalanced linguistic term sets. IEEE Trans. Fuzzy Systems, 2008, 16(2): 354–370.
Wang J H, Hao J. A new version of 2-Tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Systems., 2006, 14(3): 435–445.
Wang J H, Hao J. An approach to computing with words based on canonical characteristic values of linguistic labels. IEEE Trans Fuzzy Systems, 2007, 15(4): 593–604.
Li X, Dai X, Dezert J, Smarandache F. DSmT qualitative reasoning based on 2-Tuple linguistic representation model. In Proc. the 9th Int. Conf. Young Computer Scientists., Zhangjiajie, China, Nov. 18–21, 2008, pp.1671–1676.
Shafer G. A Mathematical Theory of Evidence. Princeton, NJ: Princeton University Press, 1976.
Smarandache F, Dezert J. Information fusion based on new proportional conflict redistribution rules. In Proc. Fusion 2005, Philadelphia, PA, USA, July 25–28, 2005.
Smarandache F, Dezert J. Qualitative belief conditioning rules. In Proc. Fusion 2007 Int. Conf., Quebec, Canada, July 9–12, 2007.
Smarandache F, Dezert J, Li X. DSm Linear Algebra of Refined Labels. Advances and Applications of DSmT for Information Fusion, Rehoboth: American Research Press, Vol.3, 2009, http://fs.gallup.unm.edu//DSmT.htm.
Li X, Dai X, Dezert J, Smarandache F. Fusion of imprecise qualitative information. Applied Intelligence, 2009, 31(2): DOI: 10.1007/s10489-009-0170-2.
Li X, Huang X, Dezert J et al. A successful application of DSmT in sonar grid map building and comparison with DST-based approach. Int. J. Innovative Comp., Inf. and Control, 2007, 3(3): 539–551.
Li S, Zhang J, Huang X et al. Semantic computation in a Chinese question-answering system. Journal of Computer Science and Technology, 2002, 17(6): 933–939.
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Xin-De Li (Presently, he is taking charge of one project supported by the National Natural Science Foundation of China under Grant No.60804063 and one subproject of Jiangsu Province Science and Technology Transformation Project under Grant No. BA2007058.)
This work is supported by the National Natural Science Foundation of China under Grant No. 60804063.
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Li, XD., Smarandache, F., Dezert, J. et al. Combination of Qualitative Information with 2-Tuple Linguistic Representation in DSmT. J. Comput. Sci. Technol. 24, 786–797 (2009). https://doi.org/10.1007/s11390-009-9258-8
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DOI: https://doi.org/10.1007/s11390-009-9258-8