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Combining sources of evidence with reliability and importance for decision making

Lianmeng Jiao (), Quan Pan, Yan Liang (), Xiaoxue Feng and Feng Yang

Central European Journal of Operations Research, 2016, vol. 24, issue 1, 87-106

Abstract: The combination of sources of evidence with reliability has been widely studied within the framework of Dempster-Shafer theory (DST), which has been employed as a major method for integrating multiple sources of evidence with uncertainty. By the fact that sources of evidence may also be different in importance, for example in multi-attribute decision making (MADM), we propose the importance discounting and combination method within the framework of DST to combine sources of evidence with importance, which is composed of an importance discounting operation and an extended Dempster’s rule of combination. Three evidence combination axioms are proposed and explored to uncover the differences between reliability and importance in evidence reasoning. Furthermore, a general scheme is proposed for combination of sources of evidence with both reliability and importance. An example of car performance evaluation is studied to show the efficiency of the new general scheme. Copyright Springer-Verlag Berlin Heidelberg 2016

Keywords: Decision making; Evidence theory; Importance discounting operation; Extended Dempster’s rule of combination (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10100-013-0334-3

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Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

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