@inproceedings{b0d19d694d734b45bf0358193bae3de3,
title = "Technical study on demand forecast for CBR emergency resources based on information entropy and standard deviation",
abstract = "This thesis intends to study the technology that the information entropy and the standard deviation are used to forecast the CBR demand. Firstly the standard deviation is used to calculate the weight of each index; secondly, the rescue database with plenty of information and the information entropy are used to calculate the weight of each index level, then the model is built where standard deviation weight and entropy weight are integrated; the cases are verified by the model at the end.",
keywords = "Case inference, Demand forecast, Emergency resources, Information entropy, Standard deviation",
author = "Duan, {Zai Peng} and Qian, {Xin Ming} and Duo, {Ying Quan} and Wu, {Zong Zhi}",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.955-959.1877",
language = "English",
isbn = "9783038351351",
series = "Advanced Materials Research",
publisher = "Trans Tech Publications Ltd.",
pages = "1877--1880",
booktitle = "Advances in Environmental Technologies III",
address = "Switzerland",
note = "3rd International Conference on Energy and Environmental Protection, ICEEP 2014 ; Conference date: 26-04-2014 Through 28-04-2014",
}