To problems with multi-sources and diverse information, the traditional evaluation model is extended, and a new method called generic comprehensive evaluation is provided. This method centers on the fusion of complex information and its associated algorithm. Particularly, a framework is built to integrate various types and structured information, and the stochastic simulation technology is used to discuss the algorithm of the framework. Because the algorithm cost increases as the complexity of information in the framework, further a type of simplified algorithm is proposed. The validity of this simplified algorithm is illustrated by numerical examples. And the theory of generic comprehensive evaluation can be handled easily by the using of simplified algorithm. The case of "performance evaluation of region's development by multi-participants" illustrates that generic evaluation makes democratic decision among different benefits become possible. The achievements of this paper can provide support for the questions such as discovery of collective wisdom under big-data background, analysis of democratic decision making results, and so on.