ABSTRACT
A further consideration is the varying reliability and completeness of different data sources. It is necessary, therefore, to take the reliability or uncertainty of each data source into account when classification of multisource data is attempted. Source reliability factors are important parameters that determine how strongly a given source contributes to the multisource consensus pool. In this sense, reliability factors are equivalent to source weighting parameters. If these weighting parameters are not chosen properly, then the multisource consensus will give disappointing results although it is based on a theoretically robust mechanism.
