Relative entropy method for regional allocation of water pollution loading

  • Ju Liang Jin*
  • , Yi Ming Wei
  • , Lin Yan Jing
  • , Yan Guo
  • *Corresponding author for this work

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

Abstract

Regional allocation of water pollution loading is an important measure for achieving general quality and quantity control, which key problem is allocating right weights to sub-regions. Information entropy method (IEM) is proposed to mine the objective variation information of sub-regions and experience information of decision makers during the allocation process. The research results show that IEM is concise and universal, so it can be widely applied to theory and practice of various systems engineering applications.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2007 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Pages1004-1007
Number of pages4
EditionPART 3
ISBN (Print)9783540725879
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: 27 May 200730 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4489 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Computational Science, ICCS 2007
Country/TerritoryChina
CityBeijing
Period27/05/0730/05/07

Keywords

  • Allocation weighting
  • Analytic hierarchy process
  • Principle of minimum relative information entropy
  • Water pollution loads

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