Sentence examples for the preference information from inspiring English sources

Revealed preference approaches value outcomes using the preference information revealed through existing markets.

The proposed approach was extended to support the situation where the preference information is given by multiple decision makers.

Thus, goals act as the additional criteria in multi-objective optimization to provide ranking with the preference information [33, 34].

When overlapping is not found among the lists, the preference information is updated as such, without any further modification.

Preferences can be characterized by utility functions [54, 55, 56], where the preference information is implicitly involved in the fitness function to rank solutions [57, 58].

Since the decision makers' experience, cognitions and knowledge background are quite different from each other, sometimes the preference information they provided may be various and different.

However, as is shown by the pairwise winning indices for this scenario (Table 3), the provided preference information with respect to the values of the weights was not precise enough to further discriminate between these two remaining strategies.

In addition, the firm's access to the customers' preference information can increase profitability via higher quality levels and increased market coverage.

Data comprising search logs, questionnaires, simulations, and eye-tracking recordings show that: 1) the search effectiveness is improved by using and visualizing the social rating information and the personal preference information as compared to content-based ranking.

Missing or imprecise information with respect to the values of the weights can be handled in a similar way by sampling the weight vector from a uniform distribution in the feasible weight space induced by the available preference information.

This result is consistent with the commonly accepted notion that structurally related TFs may have similar binding preference to DNA sequences, since the hierarchical clustering performed was solely based on the binding preference information (PFMs).