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@article{FSSC_2020_15_1_a2, author = {A. E. Lepskiy}, title = {Decompositional approach for evaluation of internal conflict in the framework of the evidence theory}, journal = {Ne\v{c}etkie sistemy i m\^agkie vy\v{c}isleni\^a}, pages = {43--63}, publisher = {mathdoc}, volume = {15}, number = {1}, year = {2020}, language = {en}, url = {http://geodesic.mathdoc.fr/item/FSSC_2020_15_1_a2/} }
TY - JOUR AU - A. E. Lepskiy TI - Decompositional approach for evaluation of internal conflict in the framework of the evidence theory JO - Nečetkie sistemy i mâgkie vyčisleniâ PY - 2020 SP - 43 EP - 63 VL - 15 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/FSSC_2020_15_1_a2/ LA - en ID - FSSC_2020_15_1_a2 ER -
A. E. Lepskiy. Decompositional approach for evaluation of internal conflict in the framework of the evidence theory. Nečetkie sistemy i mâgkie vyčisleniâ, Tome 15 (2020) no. 1, pp. 43-63. http://geodesic.mathdoc.fr/item/FSSC_2020_15_1_a2/
[1] Bronevich A., Klir G. J., “Measures of uncertainty for imprecise probabilities: An axiomatic approach”, International Journal of Approximate Reasoning, 51 (2010), 365–390 | DOI | MR | Zbl
[2] Bronevich A., Lepskiy A., “Imprecision indices: axiomatic, properties and applications”, International Journal of General Systems, 44:7-8 (2015), 812–832 | DOI | MR | Zbl
[3] Bronevich A., Lepskiy A., Penikas H., “The application of conflict measure to estimating incoherence of analyst's forecasts about the cost of shares of russian companies”, Procedia Computer Science, 55 (2015), 1113–1122 | DOI
[4] Bronevich A., Rozenberg I., “The contradiction between belief functions: Its description, measurement, and correction based on generalized credal sets”, International Journal of Approximate Reasoning, 112 (2019), 119–139 | DOI | MR | Zbl
[5] Burger T., “Geometric views on conflicting mass functions: from distances to angles”, International Journal of Approximate Reasoning, 70 (2016), 36–50 | MR | Zbl
[6] Daniel M., “Conflicts within and between Belief Functions”, Computational Intelligence for Knowledge-Based Systems Design, IPMU 2010, Lecture Notes in Computer Science, 6178, eds. Hullermeier E., Kruse R., Hoffmann F., Springer, Berlin–Heidelberg, 2010, 696–705 | DOI
[7] Dempster A. P., “Upper and lower probabilities induced by multivalued mapping”, Annals of Mathematical Statistics, 38:2 (1967), 325–339 | DOI | MR | Zbl
[8] Destercke S., Burger T., “Toward an axiomatic definition of conflict between belief functions”, IEEE Transactions on Cybernetics, 43:2 (2013), 585–596
[9] Dubois D., Prade H., “A note on measures of specificity for fuzzy sets”, International Journal of General Systems, 10 (1985), 279–283 | DOI | MR | Zbl
[10] Dubois D., Prade H., “On the combination of evidence in various mathematical frameworks”, Reliability Data Collection and Analysis, eds. J. Flamm and T. Luisi, Kluwer Academic Publishers, Dordrecht, 1992, 213–241 | DOI
[11] Higashi M., Klir G. J., “Measures of uncertainty and information based on possibility distributions”, International Journal of General Systems, 9 (1983), 43–58 | DOI | MR
[12] Jousselme A. -L., Grenier D., Bosse E., “A new distance between two bodies of evidence”, Information Fusion, 2 (2001), 91–101 | DOI
[13] Jousselme A. -L., Maupin P., “Distances in evidence theory: Comprehensive survey and generalizations”, International Journal of Approximate Reasoning, 53 (2012), 118–145 | DOI | MR | Zbl
[14] Klir G. J., Uncertainty and Information: Foundations of Generalized Information Theory, Wiley, Hoboken, NJ, 2006 | Zbl
[15] Lefevre E., Colot O., Vannoorenberghe P., “Belief function combination and conflict management”, Information Fusion, 3:2 (2002), 149–162 | DOI | MR
[16] “About relation between the measure of conflict and decreasing of ignorance in theory of evidence”, Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, EUSFLAT-13, Atlantis Press, Amsterdam, 2013, 355–362
[17] Lepskiy A., “General schemes for the combination rules of bodies of evidence and a posterior characteristics of the quality of combination”, Fuzzy Systems and Soft Computing, 9:2 (2014), 93–114 (in Russian)
[18] Lepskiy A., “On internal conflict as an external conflict of a decomposition of evidence”, BELIEF 2016, LNAI, 9861, eds. J. Vejnarova and V. Kratochvil, Springer, Heidelberg, 2016, 25–34 | MR | Zbl
[19] Lepskiy A., “Decomposition of evidence and internal conflict”, Procedia Computer Science, 122 (2017), 186–193 | DOI
[20] Liu W., “Analysing the degree of conflict among belief functions”, Artificial Intelligence, 170 (2006), 909–924 | DOI | MR | Zbl
[21] Martin A., “About Conflict in the Theory of Belief Functions”, BELIEF 2012, AISC, 164, eds. T. Denoeux and M-H. Masson, Springer, Heidelberg, 2012, 161–168 | Zbl
[22] Osswald C., Martin A., “Understanding the large family of Dempster-Shafer theory's fusion operators – a decision-based measure”, Proceedings of International Conference on Information Fusion (Florence, Italy, 2006) | Zbl
[23] Pichon F., Jousselme A. -L., Ben Abdallah.N., “Several shades of conflict”, Fuzzy Sets and Systems, 366 (2019), 63–84 | MR | Zbl
[24] Roquel A., Le Hegarat-Mascle.S., Bloch I., Vincke B., “Decomposition of conflict as a distribution on hypotheses in the framework on belief functions”, International Journal of Approximate Reasoning, 55:5 (2014), 1129–1146 | DOI | MR | Zbl
[25] Samet A., Lefevre E., Yahia S. B., “Integration of extra-information for belief function theory conflict management problem through generic association rules”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 22:4 (2014), 531–551 | DOI | MR | Zbl
[26] Schubert J., “The Internal Conflict of a Belief Function”, BELIEF 2012, AISC, 164, eds. T. Denoeux and M-H. Masson, Springer, Heidelberg, 2012, 169–177
[27] Sentz K., Ferson S., Combination of evidence in Dempster-Shafer theory, Report SAND 2002-0835, Sandia National Laboratories, 2002
[28] Shafer G., A Mathematical Theory of Evidence, Princeton University Press, Princeton, NJ, 1976, 314 pp. | MR | Zbl
[29] Smets Ph., “The combination of evidence in the transferable belief model”, IEEE Pattern Analysis and Machine Intelligence, 12:5 (1990), 447–458 | DOI
[30] Yager R. R., “Entropy and specificity in a mathematical theory of evidence”, International Journal of General Systems, 9:4 (1983), 249–260 | DOI | MR | Zbl