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Four Models To Calculate A Fuzzy Probability Distribution With A Small Sample

Author

Listed:
  • CHONGFU HUANG

    (Institute of Disaster and Public Security, College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China;
    Key Laboratory of Environmental Change and Natural Disaster, The Ministry of Education of China, Beijing 100875, China)

  • TIAN ZONG

    (Institute of Disaster and Public Security, College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China;
    Key Laboratory of Environmental Change and Natural Disaster, The Ministry of Education of China, Beijing 100875, China)

  • ZHIFEN CHEN

    (Institute of Disaster and Public Security, College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China;
    Key Laboratory of Environmental Change and Natural Disaster, The Ministry of Education of China, Beijing 100875, China)

Abstract

The need to cope with complicated natural disaster system calls for a sophisticated way of analyzing it with the help of fuzzy methods. Therefore, four models are suggested succeedingly to represent a fuzzy probability distribution with a small sample. In this paper, we inspect the four models in detail and evaluate their performance on an emulation test.

Suggested Citation

  • Chongfu Huang & Tian Zong & Zhifen Chen, 2007. "Four Models To Calculate A Fuzzy Probability Distribution With A Small Sample," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 611-623.
    • Handle: RePEc:wsi:ijitdm:v:06:y:2007:i:04:n:s0219622007002678
    DOI: 10.1142/S0219622007002678
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