A Fuzzy GM(1,1) Model Based Possibility Check for Predicting CO2 Emissions

Abstract

Abstract-Increasing emissions of CO 2 and other greenhouse gases as a result of human activities have bring about global warming, which is one of the major threats now confronting the environment. CO 2 have impact on the environment is the greatest as it accounts for the largest share of total GHG. The greenhouse effect will further destroy the environment for humans and all other living beings, threatening the existence of humankind if anthropogenic CO 2 emissions are allowed to increase without limits. The reduction of CO 2 emissions has become a key issue that must be addressed for the protection of the environment. This paper aims to develop a fuzzy gray prediction model on CO 2 emissions, and the world natural and cultural heritage area will be taken as an example. The fuzzy possibility is used to check the error of the proposed model, and the test results show that the accuracy of the model is quite high, providing a scientific basis for policy makers.Index Terms-CO 2 emission, fuzzy gray prediction, world natural and cultural heritage area, fuzzy possibility.