Title:
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Possibilistic alternatives of elementary notions and relations of the theory of belief functions (English) |
Author:
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Kramosil, Ivan |
Language:
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English |
Journal:
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Kybernetika |
ISSN:
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0023-5954 |
Volume:
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37 |
Issue:
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2 |
Year:
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2001 |
Pages:
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[109]-126 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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The elementary notions and relations of the so called Dempster–Shafer theory, introducing belief functions as the basic numerical characteristic of uncertainty, are modified to the case when probabilistic measures and basic probability assignments are substituted by possibilistic measures and basic possibilistic assignments. It is shown that there exists a high degree of formal similarity between the probabilistic and the possibilistic approaches including the role of the possibilistic Dempster combination rule and the relations concerning the possibilistic nonspecificity degrees. (English) |
Keyword:
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Dempster-Shafer theory |
Keyword:
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possibilistic approach |
Keyword:
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belief function |
MSC:
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28E10 |
MSC:
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68T30 |
MSC:
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68T37 |
idZBL:
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Zbl 1265.68267 |
idMR:
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MR1839222 |
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Date available:
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2009-09-24T19:37:41Z |
Last updated:
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2015-03-26 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/135394 |
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Reference:
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Reference:
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Reference:
|
[3] Dubois D., Prade, H., Sabbadin R.: Qualitative decision theory with Sugeno integrals.In: Uncertainty in Artificial Intelligence – Proceedings of the 14th Conference (G. T. Cooper and S. Morales, eds.), Madison, Wisconsin, pp. 121–128 Zbl 0984.91023, MR 1806517 |
Reference:
|
[4] Dubois D., Godo L., Prade, H., Zapico A.: Possibilistic representation of qualitative utility – an improved characterization.In: Proc. 6th International Conference on Information Processing and Management of Uncertainty (IPMU), Paris 1998, Vol. I, pp. 180–187 |
Reference:
|
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Reference:
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[6] Kramosil I.: A probabilistic analysis of the Dempster combination rule.In: The Logica Yearbook 1997 (T. Childers, ed.), Filosofia, Prague 1998, pp. 175–187 MR 1614001 |
Reference:
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[7] Kramosil I.: Alternative definitions of conditional possibilistic measures.Kybernetika 34 (1998), 2, 137–147 MR 1621506 |
Reference:
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[8] Kramosil I.: On stochastic and possibilistic independence.Neural Network World 4 (1999), 275–296 |
Reference:
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[9] Kramosil I.: Boolean–like interpretation of Sugeno integral.In: Proc. European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU 99), (A. Hunter and S. Parsons, eds., Lecture Notes in Artificial Intelligence 1638), Springer Verlag, Berlin 2000, pp. 245–255 Zbl 0930.28015, MR 1773322 |
Reference:
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[10] Kramosil I.: Nonspecificity degrees of basic probability assignments in Dempster–Shafer theory.Computers and Artificial Intelligence 18 (1999), 6, 559–574 Zbl 0989.60009, MR 1742716 |
Reference:
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[11] Vejnarová J.: Composition of possibility measures on finite spaces – preliminary results.In: Proc. 7th International Conference on Information Processing and Management of Uncertainty (IPMU), Paris 1998, Vol. I, 25–30 |
Reference:
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[12] Zadeh L. A.: Fuzzy sets as a basis for a theory of possibility.Fuzzy Sets and Systems 1 (1978), 3–28 MR 0480045, 10.1016/0165-0114(78)90029-5 |
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