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maximum as the worst possible case This choice has the additional advantage that the maximum can be computed efficiently by simply propagating the evidence contained in an imprecise tuple in the given graphical model [Borgelt and Kruse 1997b], whereas other aggregates suffer from the fact that we have to compute the degree of possibility of the compatible precise tuples explicitly, the number of which can be very large As an example consider a database with 1000 cases that induces the possibility distribution shown in Figure 314 on page 84 Such a database may consist of the imprecise tuples shown in Table 72 (question marks indicate missing values) having the stated absolute frequencies In addition, there are precise tuples of suitable absolute frequencies (which can easily be computed from the possibility distribution and the frequencies of the imprecise tuples).

Throughout the catching, handling, landing and marketing process, intrinsic quality remains constant whereas extrinsic quality will change The quality of sh in markets is determined by size, freshness, species, fat content, age and sex Depending on the market, the individual characteristics of sh quality will show a differential Overall, the markets require good quality products that will not affect the consumer s health and will satisfy their needs Raw material for a processor may be the nished product for a retailer, and thus each of them values quality according to their needs and takes different measures to achieve good quality It is expected that prices reveal the effort on quality, and often in markets the measure of quality, and thus the price, is only related to the species and the size of the individuals.

WHO (1986) The Ottawa Charter for Health Promotion. Geneva: World Health Organisation. WHO (1993) ENHPS Resource Manual. Copenhagen: WHO. Williams, M.I (Ed.) (1994) Promoting the Health of Young People in Europe. Health Education in Schools. A training manual for teachers and others working with young people. Health Education Board of Scotland, WHO, CE, CEC. Zwiauer, K.F. (2000) Prevention and treatment of overweight and obesity in children and adolescents. European Journal of Pediatrics, 159, 156 168.

If we evaluate the eight possible graphs with the procedure described above, we arrive at the lower numbers shown in Figure 78 on page 186 Clearly, this method ranks the graphs in the same way as specificity divergence Hence the same graph, namely graph 5, is chosen as the search result Let us now turn to the second approach to learning a graphical model from data, namely finding an independence map by conditional independence tests Formally, there is no difference to the relational case, since (conditional) possibilistic independence coincides with (conditional) relational independence, except that the latter is computed from a binary possibility measure Thus it is not surprising that for the example of a possibility distribution shown in Figure 314 on page 84, graph 5 of Figure 7.

1.0 0.12 0.8 0.6 0.4 0.04 0.2 0.00 0 5 10 15 20 25 0.0 0 5 10 15 20 25

8 is selected, since the only conditional independence that can be read from it, namely A B | C, holds in the distribution (as demonstrated in Section 34) To find approximate decompositions we need, as in the relational and the probabilistic case, a measure for the strength of dependences Drawing on the paradigm that a possibility distribution can be seen as a set of relations, we can construct such a measure from the Hartley information gain [Gebhardt.

As a law enforcement professional, I was aware of how the community policing model had been successfully applied to the problem of domestic violence. It occurred to me that those principles could probably be successfully applied to the problem of workplace violence. . . . Companies tend to treat these situations internally just as domestic violence was once treated as private.1

Part III: Microeconomics: The Science of Consumer and Firm Behaviour Realising that the dominant strategy leads to a lousy outcome for both players