MULTIPLE CRITERIA DECISION ANALYSIS IN DISTRIBUTED DATABASES

摘要

Embodiments of the present disclosure set forth methods for selecting a preferred data set from distributed databases including a first database having a first probability attribute and a second database having a second probability attribute. One example method may include receiving a first data set from the first database and a second data set from the second database. The first data set includes a first monotonic attribute. The second data set includes a second monotonic attribute. It may further include selecting a candidate data set from one of the first data set and the second data set based on a comparison of the first monotonic attribute and the second monotonic attribute and determining whether the selected candidate data set is the preferred data set.

主权项

1. A method to select a preferred data set from a plurality of distributed databases including a first database having a first probability attribute and a second database having a second probability attribute, comprising:
receiving, by one or more processors, a first data set selected from the first database, the first data set having a first monotonic attribute and a second data set selected from the second database, the second data set having a second monotonic attribute; selecting, by the one or more processors, a candidate data set from one of the first data set and the second data set based on a comparison of the first monotonic attribute and the second monotonic attribute; and determining, by the one or more processors, whether the selected candidate data set is the preferred data set, at least partly based on a minimum probability of the selected candidate data set being the preferred data set, a maximum probability of the selected candidate data set being the preferred data set and a threshold probability.