Earticle

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

키워드

저자

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

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605