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International Journal of General Systems Volume 25, 1996 - Issue 2
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Original Articles

ON THE COMPUTATION OF UNCERTAINTY MEASURE IN DEMPSTER-SHAFER THEORY

DAVID HARMANEC Center for Intelligent Systems and Department of Systems Science & Industrial Engineering, Binghamton University—SUNY, Binghamton, NY, 13902-6000, U.S.A
,
GERMANO RESCONI Department of Mathematics, Catholic University, Brescia, Italy
,
GEORGE J. KLIR Center for Intelligent Systems and Department of Systems Science & Industrial Engineering, Binghamton University—SUNY, Binghamton, NY, 13902-6000, U.S.A
&
YIN PAN Center for Intelligent Systems and Department of Systems Science & Industrial Engineering, Binghamton University—SUNY, Binghamton, NY, 13902-6000, U.S.A
Pages 153-163 | Received 15 Feb 1995, Accepted 15 Oct 1995, Published online: 30 Mar 2007

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Germano Resconi & Chris Hinde. (2014) Agents and rough sets. International Journal of Computational Intelligence Systems 7:sup1, pages 137-157.
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J. Abellán. (2006) Uncertainty measures on probability intervals from the imprecise Dirichlet model. International Journal of General Systems 35:5, pages 509-528.
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J. Abellán, G.J. Klir & S. Moral. (2006) Disaggregated total uncertainty measure for credal sets. International Journal of General Systems 35:1, pages 29-44.
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Joaquín Abellán & George J. Klir. (2005) Additivity of uncertainty measures on credal sets. International Journal of General Systems 34:6, pages 691-713.
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DAVID HARMANEC & GEORGEJ. KLIR. (1997) ON INFORMATION-PRESERVING TRANSFORMATIONS. International Journal of General Systems 26:3, pages 265-290.
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DAVID HARMANEC. (1997) A NOTE ON UNCERTAINTY, DEMPSTER RULE OF COMBINATION, AND CONFLICT. International Journal of General Systems 26:1-2, pages 63-72.
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Articles from other publishers (33)

Fuqi Liang, Matteo Brunelli, Kevin Septian & Jafar Rezaei. (2021) Belief-Based Best Worst Method. International Journal of Information Technology & Decision Making 20:01, pages 287-320.
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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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Johan Schubert. (2017) Counter-deception in information fusion. International Journal of Approximate Reasoning 91, pages 152-159.
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Johan Schubert. 2016. Belief Functions: Theory and Applications. Belief Functions: Theory and Applications 174 181 .
Milan Daniel. 2015. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Symbolic and Quantitative Approaches to Reasoning with Uncertainty 440 450 .
Joaquín Abellán, Rebecca M. Baker, Frank P.A. Coolen, Richard J. Crossman & Andrés R. Masegosa. (2014) Classification with decision trees from a nonparametric predictive inference perspective. Computational Statistics & Data Analysis 71, pages 789-802.
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Marc Pouly, Juerg Kohlas & Peter Y A Ryan. (2013) Generalized information theory for hints. International Journal of Approximate Reasoning 54:1, pages 228-251.
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Germano Resconi. (2012) Active set model for agent consensus and integration. Active set model for agent consensus and integration.
Johan Schubert. (2012) Constructing and evaluating alternative frames of discernment. International Journal of Approximate Reasoning 53:2, pages 176-189.
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Joaquín Abellán, Rebecca M. Baker & Frank P.A. Coolen. (2011) Maximising entropy on the nonparametric predictive inference model for multinomial data. European Journal of Operational Research 212:1, pages 112-122.
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Johan Schubert. (2011) Conflict management in Dempster–Shafer theory using the degree of falsity. International Journal of Approximate Reasoning 52:3, pages 449-460.
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Germano Resconi & Boris Kovalerchuk. 2011. Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies. Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies 50 77 .
Marc Pouly. 2011. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Symbolic and Quantitative Approaches to Reasoning with Uncertainty 299 313 .
Boris Kovalerchuk & Germano Resconi. (2010) Agent-based uncertainty logic network. Agent-based uncertainty logic network.
G. Resconi & C. J. Hinde. (2010) Active sets, fuzzy sets and inconsistency. Active sets, fuzzy sets and inconsistency.
Van-Nam Huynh & Yoshiteru Nakamori. (2010) Notes on “Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure”. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 40:1, pages 205-209.
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Johan Schubert. 2010. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods 189 198 .
Germano Resconi & Boris Kovalerchuk. (2009) Agents in neural uncertainty. Agents in neural uncertainty.
Germano Resconi & Boris Kovalerchuk. 2009. Knowledge Processing and Decision Making in Agent-Based Systems. Knowledge Processing and Decision Making in Agent-Based Systems 217 246 .
K.K.R. Hewawasam, K. Premaratne & Mei-Ling Shyu. (2007) Rule Mining and Classification in a Situation Assessment Application: A Belief-Theoretic Approach for Handling Data Imperfections. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37:6, pages 1446-1459.
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Chunsheng Liu, Dominic Grenier, Anne-Laure Jousselme & Eloi Bosse. (2007) Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 37:5, pages 669-679.
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Martin Oxenham, Subhash Challa & Mark Morelande. (2006) Fusion of disparate identity estimates for shared situation awareness in a network-centric environment. Information Fusion 7:4, pages 395-417.
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A.-L. Jousselme, Chunsheng Liu, D. Grenier & E. Bosse. (2006) Measuring ambiguity in the evidence theory. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 36:5, pages 890-903.
Crossref
Bilal Ayyub & George Klir. 2006. Uncertainty Modeling and Analysis in Engineering and the Sciences. Uncertainty Modeling and Analysis in Engineering and the Sciences 353 368 .
G.J. Klir. (2005) Measuring Uncertainty Associated with Convex Sets of Probability Distributions: A New Approach. Measuring Uncertainty Associated with Convex Sets of Probability Distributions: A New Approach.
V.N. Huynh, Y. Nakamori, T.B. Ho & G. Resconi. (2004) A context model for fuzzy concept analysis based upon modal logic. Information Sciences 160:1-4, pages 111-129.
Crossref
G. Resconi. (2004) Incoherent objects and fuzzy sets. Incoherent objects and fuzzy sets.
George J. Klir. 2003. Entropy Measures, Maximum Entropy Principle and Emerging Applications. Entropy Measures, Maximum Entropy Principle and Emerging Applications 55 78 .
George J. Klir. 2000. Fundamentals of Fuzzy Sets. Fundamentals of Fuzzy Sets 439 457 .
George J. Klir, Zhenyuan Wang & David Harmanec. (1997) Constructing fuzzy measures in expert systems. Fuzzy Sets and Systems 92:2, pages 251-264.
Crossref
Jiřina Vejnarová. 1997. Progress in Artificial Intelligence. Progress in Artificial Intelligence 155 166 .
George J. Klir & David Harmanec. 1997. Consensus Under Fuzziness. Consensus Under Fuzziness 29 51 .
George J. Klir & David Harmanec. (1996) Generalized information theory. Kybernetes 25:7/8, pages 50-67.
Crossref

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