@inproceedings{08ebc4955d9147568fdfbb7aa1c3b39e,
title = "Relative entropy method for regional allocation of water pollution loading",
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.",
keywords = "Allocation weighting, Analytic hierarchy process, Principle of minimum relative information entropy, Water pollution loads",
author = "Jin, \{Ju Liang\} and Wei, \{Yi Ming\} and Jing, \{Lin Yan\} and Yan Guo",
year = "2007",
doi = "10.1007/978-3-540-72588-6\_161",
language = "English",
isbn = "9783540725879",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 3",
pages = "1004--1007",
booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings",
address = "Germany",
edition = "PART 3",
note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}