Set measure directed multi-source information fusion

IEEE Transactions on Fuzzy Systems

Volumn 19, Issue 6, 2011, Pages 1031-1039

  Yager, Ronald R ^a,b  

^a MACHINE INTELLIGENCE INSTITUTE   (United States)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

Aggregation; Dempster Shafer; fuzzy measure representation; hard soft fusion; multi source fusion; uncertainty modeling

Indexed keywords

DEMPSTER-SHAFER; DEMPSTER-SHAFER BELIEF STRUCTURE; FUZZY MEASURES; MULTI-SOURCE FUSION; MULTI-SOURCE INFORMATION FUSION; POSSIBILISTIC; UNCERTAIN INFORMATIONS; UNCERTAINTY MODELING;

AGGLOMERATION; ARTIFICIAL INTELLIGENCE;

FUZZY SETS;

EID: 82455221059     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2011.2159725     Document Type: Article

References (24)

1. E.Waltz and J. Llinas, MultisensorData Fusion. Norwood, MA:Artech House, 1990.
2. D. Hall and J. Llinas, "An introduction to multisensor data fusion" in Proc. IEEE, Jan. 1997, vol. 85, no. 1, pp. 6-24.
3. H. B.Mitchell, Multi-Sensor Data Fusion: An Introduction. Heidelberg, Germany: Springer-Verlag, 2007.
4. Z. Y. Wang and G. J. Klir, Fuzzy Measure Theory. New York: Plenum, 1992.
5. G. J. Klir, Uncertainty and Information. New York: Wiley, 2006.
6. L. A. Zadeh, "Fuzzy sets as a basis for a theory of possibility" Fuzzy Sets Syst., vol. 1, pp. 3-28, 1978.
7. D. Dubois and H. Prade, "Formal representation of uncertainty" in Decision-Making Process, D. Bouyssou, D. Dubois, M. Pirlot, and H. Prade, Eds. Hoboken, NJ: Wiley, 2009.
8. R. R. Yager and L. Liu, Classic Works of the Dempster-Shafer Theory of Belief Functions, A. P. Dempster and G. Shafer, Advisory Eds. Heidelberg, Germany: Springer-Verlag, 2008.
9. M. Sugeno, "Fuzzy measures and fuzzy integrals: A survey" in Fuzzy Automata and Decision Process, M. M. Gupta, G. N. Saridis, and B. R. Gaines, Eds. Amsterdam, The Netherlands: North Holland, 1977, pp. 89-102.
10. T. Murofushi and M. Sugeno, "Fuzzy measures and fuzzy integrals" in Fuzzy Measures and Integrals,M.Grabisch, T. Murofushi, andM. Sugeno, Eds. Heidelberg, Germany: Physica-Verlag, 2000, pp. 3-41.
11. G. J. Klir and M. J. Wierman, Uncertainty Based Information. Heidelberg, Germany: Springer-Verlag, 1999.
12. L. A. Zadeh, "A computational approach to fuzzy quantifiers in natural languages" Comput. Math. Appl., vol. 9, pp. 149-184, 1983.
13. I. Glockner, Fuzzy Quantifiers in Natural Language: Semantics and Computational Models. Osnabruck, Germany: Der Andere Verlag, 2004.
14. R. R. Yager, "Quantifier guided aggregation using OWA operators" Int. J. Intell. Syst., vol. 11, pp. 49-73, 1996.
15. G. Choquet, "Theory of capacities" Annales de l'Institut Fourier, vol. 5, pp. 131-295, 1953.
16. R. R.Yager and J. Kacprzyk, The OrderedWeighted Averaging Operators: Theory and Applications. Norwell, MA: Kluwer, 1997.
17. G. Beliakov, A. Pradera, and T. Calvo, Aggregation Functions: A Guide for Practitioners. Heidelberg, Germany: Springer-Verlag, 2007.
18. V. Torra and Y. Narukawa, Modeling Decisions: Information Fusion and Aggregation Operators. Berlin, Germany: Springer-Verlag, 2007.
19. M. Grabisch, J.-L. Marichal, R. Mesiar, and E. Pap, Aggregation Functions. Cambridge, U.K: Cambridge Univ. Press, 2009.
20. Z.Wang, R. Yang, and K.-S. Leung, Nonlinear Integrals and Their Applications in Data Mining. Singapore: World Scientific, 2010.
21. I. B. Turksen, A. Kandel, and Y. Q. Zhang, "Universal truth tables and normal forms" IEEE Trans. Fuzzy Syst., vol. 6, no. 2, pp. 295-303, May 1998.
22. A. P. Dempster, "Upper and lower probabilities induced by a multi-valued mapping" Ann. Math. Statist., vol. 38, p. 325-339, 1967.
23. G. Shafer, AMathematical Theory of Evidence. Princeton, NJ: Princeton Univ. Press, 1976.
24. R. R. Yager, "A class of fuzzy measures generated from a Dempster-Shafer Belief Structure" Int. J. Intell. Syst., vol. 14, pp. 1239-1247, 1999.