An Approach to Ranking Integrated Models for Risk Assessment by Using the Internet of Intelligences

Abstract

In natural disaster risk assessment, it is referred to as integrated model which is used to integrate information. The statistical model is essentially integrated model. Usually, people try to search the reasons that choose a model from the theory or case. Based on the thinking of experimental riskology, this paper puts forward with the idea that an experimental platform, which is used to test integrated models, can be built with the Internet of intelligences. In this way, models can be ranked, that provides some reference for the users. In this paper, the models of analytic hierarchy process, the median method corresponding to time and comprehensive evaluation method are used to integrate the useful information provided by three agents online in the gobang game, and then play with the computer. Through analyzing the results of Human-Computer Fighting people can judge which model is better. The experimental results show that for gobang, the effect of simple comprehensive evaluation method is better than analytic hierarchy process.