The Evolving Model of Negative Word-of-Mouth Based On Fuzzy Cellular Automata

Taking the negative word-of-mouth as the content of the study, this paper constructed the evolution model of negative word-of-mouth on the basis of the theory and methodology of Fuzzy Cellular Automata. Simulating experiments is preceded by MATLAB software, and concluded that: The negative publicity causes a surge in the number of negative word-of-mouth initially. If the relevant units or enterprises make a positive response at once, negative word-of-mouth discussion volume will rapid decline and continue to fall; if there is no response, the negative word-of-mouth on volume will keep rising.