Technical study on demand forecast for CBR emergency resources based on information entropy and standard deviation

Zai Peng Duan, Xin Ming Qian, Ying Quan Duo, Zong Zhi Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Environmental Technologies III
PublisherTrans Tech Publications Ltd.
Pages1877-1880
Number of pages4
ISBN (Print)9783038351351
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Energy and Environmental Protection, ICEEP 2014 - Xi'an, China
Duration: 26 Apr 201428 Apr 2014

Publication series

NameAdvanced Materials Research
Volume955-959
ISSN (Print)1022-6680
ISSN (Electronic)1662-8985

Conference

Conference3rd International Conference on Energy and Environmental Protection, ICEEP 2014
Country/TerritoryChina
CityXi'an
Period26/04/1428/04/14

Keywords

  • Case inference
  • Demand forecast
  • Emergency resources
  • Information entropy
  • Standard deviation

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