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

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Fuzzy Cellular Automata
  2.1. Cellular Automata
  2.2. Fuzzy Inference Theory
 3. Fuzzy Model for Evolution of Negative Word-of-mouth
  3.1. Variables of Negative Word-of-mouth
  3.2. Negative Word-of-mouth Evolution Fuzzy Rules
 4. Simulation and Analysis
  4.1. Evolution of Negative Word-of-mouth
  4.2. Effect of Response Time on Word-of-mouth Evolution
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Haiyan Wang School of Business, Ningbo University, Zhejiang, China
  • Tao Chen School of Business, Ningbo University, Zhejiang, China

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