A Study on Construction Method of Consensus Measure Space of Macro-seismic Anomalies

Abstract

Macro-anomalies are so complex that it is difficult to carry out the systematic quantitative analysis macro-anomalies because it is lack of measure space. It’s more difficult to find the relationship between micro-anomalies and earthquakes. In the paper, the theory system of macro-anomalies group’s measure space which is expressed by the fuzzy relationship matrix is set up. The concept of macro-anomalies group is put forward. Scene, elements and attributes are used to describe the relationship among macro-anomalies group, macro-anomalies and basic information of macro-anomalies. Based on the expression of basic information and the evaluation information, according to properties of the elements of a scene, basic indicators that describe macro-anomalies group can be calculated. The generation of results based on consensus of the first-line earthquake workers’ evaluation of macro-anomalies group’s comprehensive abnormal degree is expounded. The specific process and related algorithm is raised that use information diffusion technique calculate the fuzzy relationship matrix to express macro-anomalies group’s measure space, and it takes basic indicators of macro-anomalies group as input, the evaluation information of first-line earthquake workers as output.