Mine Production Safety Risk Indicator Weight Method Based on Gray System Theory

摘要

Mine production process has characteristics of non-linearity, randomness, dynamic, and uncertainty, which has decided that, in its safety risk evaluation, there is a bigger noise in gained actual measured and the measured data is limited. According to the cybernetics definition, this kind of information is situated between “black” and “white”, which is called “gray” information, indicating the information is incompletely, insufficiently and no unique. To apply these “gray” information effectively into mine production safety risk evaluation, we pick up valuable information and relationship among information by building and developing “part” known information, and judge various risk indicator weight of risk evaluation model according to that to realize correct description of system operating behavior and its evolving law.This article first studies limitation of present mine production safety risk evaluation model weight value setting method, and analyzes the grey character of risk evaluation model. Then it proposes calculating method combined grey degree of association in grey theory with traditional level analysis to determine the mine safety risk indicator weight. Finally, it proves that method by carrying on an actual application test.