Fuzzy Cellular Automata Model Of Network Public Opinion Transmission Research

In recent years, as one of the most attentive algorithms in the world,thisalgorithm has been ceaselessly developed.In the past years,the algorithm and theoryhas become very useful.Many problems that are very difficult or totally not to besolved by traditional algorithms now can be worked out well by cellular automata.Cellular automata algorithm is not only a kind of brand-new computer algorithmthought, at the same time, the system evolution of objective law involved in thealgorithm, cellular automata to unitize system of thought as the basis of its application,has the incomparable advantage and characteristic over the traditional algorithm,italso has the very extensive applicability and stability.Considering the fuzziness in the process of information dissemination, fuzzyalgorithm is introduced into the classical model of CA in this paper. Firstly, bydefining two fuzzy variables, social environment fitness and preference degree, thefuzzy CA model of network public opinion propagation process is set up. Then, theevolution process of personal view in the forming process of public opinion issimulated and analyzed by fuzzy logic toolbox of MATLAB. The result shows thatthe number of neutral group will gradually increase, while those who hold extremeattitudes will gradually decrease after extensive communication and discussion.Finally, they will reach a compromise, this model can better describe the actualpropagation of network public opinion.