원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.5
2014.09
pp.273-284
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
참고문헌
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