Harnessing the information contained in low-quality data sources

International Journal of Approximate Reasoning

Volumn 55, Issue 7, 2014, Pages 1485-1486

  Couso, Inés ^a   Sánchez, Luciano ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84905119315     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2014.05.006     Document Type: Editorial

References (26)

1. A. Blanco SMIRE Group A distance-based statistical analysis of fuzzy number-valued data Int. J. Approx. Reason. 55 7 2014 1487 1501 10.1016/j.ijar.2013.09.020
2. I. Couso, and D. Dubois Statistical reasoning with set-valued information: ontic vs. epistemic views Int. J. Approx. Reason. 55 7 2014 1502 1518 10.1016/j.ijar.2013.07.002
3. F.G. Cozman Learning imprecise probability models: conceptual and practical challenges Int. J. Approx. Reason. 55 7 2014 1594 1596 10.1016/j.ijar.2014.04.016
4. A.P. Dempster Upper and lower probabilities induced by a multivalued mapping Ann. Math. Stat. 38 1967 325 339
5. T. Denœux Likelihood-based belief function: justification and some extensions to low-quality data Int. J. Approx. Reason. 55 7 2014 1535 1547 10.1016/j.ijar.2013.06.007
6. S. Destercke Comments on "A distance-based statistical analysis of fuzzy number-valued data" by the SMIRE Research Group Int. J. Approx. Reason. 55 7 2014 1575 1577 10.1016/j.ijar.2014.04.001
7. S. Destercke Comments on "Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization" by Eyke Hüllermeier Int. J. Approx. Reason. 55 7 2014 1588 1590 10.1016/j.ijar.2014.04.014
8. D. Dubois The role of fuzzy sets in decision sciences: old techniques and new directions Fuzzy Sets Syst. 184 1 2011 3 28
9. D. Dubois On various ways of tackling incomplete information in statistics Int. J. Approx. Reason. 55 7 2014 1570 1574 10.1016/j.ijar.2014.04. 002
10. D. Dubois, and H. Prade Gradualness, uncertainty and bipolarity: making sense of fuzzy sets Fuzzy Sets Syst. 192 2012 3 24
11. R. Féron Ensembles aléatoires flous C. R. Acad. Sci. Paris, Sér. A 282 1976 903 906
12. M.A. Gil Comments on "Statistical reasoning with set-valued information: ontic vs. epistemic views" by I. Couso and D. Dubois Int. J. Approx. Reason. 55 7 2014 1580 1582 10.1016/j.ijar.2014.04.007
13. E. Hüllermeier Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization Int. J. Approx. Reason. 55 7 2014 1519 1534 10.1016/j.ijar.2013.09.003
14. D.G. Kendall Foundations of a Theory of Random Sets, in Stochastic Geometry 1974 Wiley New York 322 376
15. A. Masegosa, and S. Moral Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks Int. J. Approx. Reason. 55 7 2014 1548 1569 10.1016/j.ijar.2013.09.019
16. G. Matheron Random Sets and Integral Geometry 1974 John Wiley and Sons
17. S. Moral Comments on "Statistical reasoning with set-valued information: ontic vs. epistemic views" by I. Couso and D. Dubois Int. J. Approx. Reason. 55 7 2014 1578 1579 10.1016/j.ijar.2014.04.004
18. S. Moral Comments on "Likelihood-based belief function: justification and some extensions to low-quality data" by Thierry Denoeux Int. J. Approx. Reason. 55 7 2014 1591 1593 10.1016/j.ijar.2014.04.005
19. L. Sánchez Comments on "Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization" by Eyke Hüllermeier Int. J. Approx. Reason. 55 7 2014 1583 1587 10.1016/j.ijar.2014.04.008
20. G.L.S. Shackle Decision, Order and Time in Human Affairs 2nd edition 1961 Cambridge University Press UK
21. G. Shafer A Mathematical Theory of Evidence 1976 Princeton University Press
22. P. Smets, and R. Kennes The transferable belief model Artif. Intell. 66 1994 191 234
23. P. Walley Statistical Reasoning with Imprecise Probabilities 1991 Chapman and Hall
24. L.A. Zadeh Fuzzy sets Inf. Control 8 1965 338 353
25. L.A. Zadeh Fuzzy sets as a basis for a theory of possibility Fuzzy Sets Syst. 1 1978 3 28
26. M. Zaffalon, and G. Corani Comments on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks" by Andrés Masegosa and Serafín Moral Int. J. Approx. Reason. 55 7 2014 1597 1600 10.1016/j.ijar.2014.05.001