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Original Articles

MEASURE OF STRIFE IN DEMPSTER-SHAFER THEORY

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Pages 25-42 | Received 26 Jun 1992, Accepted 04 Jan 1993, Published online: 06 Apr 2007

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Read on this site (3)

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, GERMANO RESCONI, GEORGEJ. KLIR & YIN PAN. (1996) ON THE COMPUTATION OF UNCERTAINTY MEASURE IN DEMPSTER-SHAFER THEORY. International Journal of General Systems 25:2, pages 153-163.
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DAVID HARMANEC & GEORGEJ. KLIR. (1994) MEASURING TOTAL UNCERTAINTY IN DEMPSTER-SHAFER THEORY: A NOVEL APPROACH. International Journal of General Systems 22:4, pages 405-419.
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Articles from other publishers (16)

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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Ke Wen, Yafei Song, Chunhua Wu & Tianpeng Li. (2020) A Novel Measure of Uncertainty in the Dempster-Shafer Theory. IEEE Access 8, pages 51550-51559.
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Yilin Dong, Xinde Li, Jean Dezert & Shuzhi Sam Ge. (2019) A Novel Multi-Criteria Discounting Combination Approach for Multi-Sensor Fusion. IEEE Sensors Journal 19:20, pages 9411-9421.
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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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Radim Jiroušek & Prakash P. Shenoy. 2016. Belief Functions: Theory and Applications. Belief Functions: Theory and Applications 3 13 .
Ahmed Frikha & Hela Moalla. (2015) Analytic hierarchy process for multi-sensor data fusion based on belief function theory. European Journal of Operational Research 241:1, pages 133-147.
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Ahmed Frikha. (2014) On the use of a multi-criteria approach for reliability estimation in belief function theory. Information Fusion 18, pages 20-32.
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Peter R. Gillett. 2002. Belief Functions in Business Decisions. Belief Functions in Business Decisions 184 221 .
Ivan KramosilIvan Kramosil. 2001. Probabilistic Analysis of Belief Functions. Probabilistic Analysis of Belief Functions 207 212 .
George J. Klir. 2000. Fundamentals of Fuzzy Sets. Fundamentals of Fuzzy Sets 439 457 .
R.M. Smith & G.J. Klir. (1999) On measuring uncertainty in evidence theory. On measuring uncertainty in evidence theory.
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 .
D. Morales, L. Pardo & I. Vajda. (1996) Uncertainty of discrete stochastic systems: general theory and statistical inference. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 26:6, pages 681-697.
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Luis Mateus Rocha, Vladik Kreinovich & R. Baker Kearfott. 1996. Applications of Interval Computations. Applications of Interval Computations 337 380 .
George J. Klir. (1995) Principles of uncertainty: What are they? Why do we need them?. Fuzzy Sets and Systems 74:1, pages 15-31.
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