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Table 2. 4dH; Theorem 10. Credulous and skeptical CHIM operators satisfy (IC0)-(IC3), (IC7) and (IC8). Thus, some important properties of IC merging operators are usually lost through the merge-then-revise process. We claim that this is not so dramatic since the main pur- pose of conciliation processes is not exactly the one of belief merging. Furthermore, speci c iterated merging operators (i.e., those induced by some speci c merging oper- ators 4) may easily satisfy additional postulates: Theorem 11. The credulous iterated merging operator associated to 4dD;Max
2005
"... In PAGE 9: ... Let us consider the credulous CHIMC operator de ned from the merging operator 4dH; . The computations are summarized in Table2 . The resulting pro le is [K2 1] = f(0; 0; 1)g, [K2 2] = f(1; 0; 0)g, [K2 3] = f(0; 0; 1)g and [K2 4] = f(1; 0; 0)g.... ..."
Cited by 4
Table 9. The difference between maximum and minimum belief and error impact confusion.
"... In PAGE 8: ... In interpreting the information in Table 8, it seems reasonable to take the confusion level differences into consideration. We have merged the contents of Table 8 with these differences and presented the result in Table9 for a convenient overview. ... In PAGE 9: ...style and image, but the figures in Table9 seem to suggest that the weight is more prominently on image. Table 9.... ..."
Table 2 Number of Beliefs for Which Beliefs Scores Changed, by Group Changed on at
"... In PAGE 11: ... Another way that we compared the beliefs-survey change scores was to examine the number of beliefs that that showed score change for each individual. Table2 shows that the majority of the control group and the MORE-R group (58.82% and 52.... ..."
Table 1. Data and beliefs: an overview
2004
"... In PAGE 5: ...The basic distinction between data and beliefs yields a rich picture of epistemic dynamics (Fig. 1 and Table1 ). From a computational viewpoint, such distinction opens the way for blended approaches to implementation [20]: data structures present remarkable similarities with Bayesian networks and neural networks, while belief sets are a well-known hallmark of AGM-style belief revision [13].... ..."
Cited by 4
Table 1: Description of the belief functions
"... In PAGE 12: ... The ignorance is not maintained and all cases are treated. Table1 below presents all belief functions used in the calculation of extremities. For a frame of discernment we give the calculation for every focal element and for the ignorance if it is managed.... ..."
Table 3: Belief function values
1998
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Table 3 : Belief function values
1998
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Table 7 : Belief values for the objects
1998
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Table 3: Belief function values
1998
Cited by 10
Table 1. Belief structure and use
2005
"... In PAGE 9: ...g. customer or merchant in this particular scenario, refer to Table1 ). In our e-commerce example, the Customer is the initiator for the NegotiatePrice IG, thus it takes the initiative and proposes a price to the Merchant.... ..."
Cited by 6
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