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International Journal of General Systems Volume 40, 2011 - Issue 6
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Articles

Combining nonspecificity measures in Dempster–Shafer theory of evidence

Joaquín Abellán Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, SpainCorrespondence[email protected]
Pages 611-622 | Received 25 May 2010, Accepted 04 Feb 2011, Published online: 30 Jun 2011

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Read on this site (2)

Deqiang Han, Yi Yang & Chongzhao Han. (2017) Evidence updating based on novel Jeffrey-like conditioning rules. International Journal of General Systems 46:6, pages 587-615.
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Joaquín Abellán. (2012) Equivalence relations among dominance concepts on probability intervals and general credal sets. International Journal of General Systems 41:2, pages 109-122.
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Articles from other publishers (19)

Rongfei Li, Zhiyuan Chen, Hao Li & Yongchuan Tang. (2021) A new distance-based total uncertainty measure in Dempster-Shafer evidence theory. Applied Intelligence 52:2, pages 1209-1237.
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Andrea Campagner, Davide Ciucci & Eyke Hüllermeier. (2021) Rough set-based feature selection for weakly labeled data. International Journal of Approximate Reasoning 136, pages 150-167.
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Joaquín Abellán, Serafín Moral-García & María D. Benítez. (2021) Combination in the theory of evidence via a new measurement of the conflict between evidences. Expert Systems with Applications 178, pages 114987.
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Radim Jiroušek & Prakash P. Shenoy. (2020) On properties of a new decomposable entropy of Dempster-Shafer belief functions. International Journal of Approximate Reasoning 119, pages 260-279.
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Joaquin Abellan & Eloi Bosse. (2020) Critique of Recent Uncertainty Measures Developed Under the Evidence Theory and Belief Intervals. IEEE Transactions on Systems, Man, and Cybernetics: Systems 50:3, pages 1186-1192.
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Xiaozhuan Gao, Fan Liu, Lipeng Pan, Yong Deng & Sang‐Bing Tsai. (2019) Uncertainty measure based on Tsallis entropy in evidence theory. International Journal of Intelligent Systems 34:11, pages 3105-3120.
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Joaquín Abellán, Serafín Moral-García & María Dolores Benítez. 2019. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Symbolic and Quantitative Approaches to Reasoning with Uncertainty 148 159 .
Xinyang Deng. (2018) Analyzing the monotonicity of belief interval based uncertainty measures in belief function theory. International Journal of Intelligent Systems 33:9, pages 1869-1879.
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Xinyang Deng & Wen Jiang. (2018) Dependence assessment in human reliability analysis using an evidential network approach extended by belief rules and uncertainty measures. Annals of Nuclear Energy 117, pages 183-193.
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Joaquin Abellan & Eloi Bosse. (2018) Drawbacks of Uncertainty Measures Based on the Pignistic Transformation. IEEE Transactions on Systems, Man, and Cybernetics: Systems 48:3, pages 382-388.
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Joaquín ABELLÁN. (2018) Remarks on “A new non-specificity measure in evidence theory based on belief intervals”. Chinese Journal of Aeronautics 31:3, pages 529-533.
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Radim Jiroušek & Prakash P. Shenoy. (2018) A new definition of entropy of belief functions in the Dempster–Shafer theory. International Journal of Approximate Reasoning 92, pages 49-65.
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Xinyang Deng, Fuyuan Xiao & Yong Deng. (2016) An improved distance-based total uncertainty measure in belief function theory. Applied Intelligence 46:4, pages 898-915.
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Gia Sirbiladze, Irina Khutsishvili, Otar Badagadze & Mikheil Kapanadze. (2016) More Precise Decision-Making Methodology in the Temporalized Body of Evidence. Application in the Information Technology Management. International Journal of Information Technology & Decision Making 15:06, pages 1469-1502.
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Radim Jiroušek & Prakash P. Shenoy. 2016. Belief Functions: Theory and Applications. Belief Functions: Theory and Applications 3 13 .
Joaquín Abellán & Carlos J. Mantas. (2014) Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring. Expert Systems with Applications 41:8, pages 3825-3830.
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Carlos J. Mantas & Joaquín Abellán. (2014) Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data. Expert Systems with Applications 41:5, pages 2514-2525.
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JOAQUÍN ABELLÁN & ANDRÉS R. MASEGOSA. (2012) IMPRECISE CLASSIFICATION WITH CREDAL DECISION TREES. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:05, pages 763-787.
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Joaquín Abellán & Andrés R. Masegosa. (2012) Bagging schemes on the presence of class noise in classification. Expert Systems with Applications 39:8, pages 6827-6837.
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