Optimizing the atmospheric sampling sites using fuzzy mathematic methods

A new approach applying fuzzy mathematic theorems, including the Primary Matrix Element Theorem and the Fisher ClassificationMethod, was established to solve the optimization problem of atmospheric environmental sampling sites. According to its basis, an applicationin the optimization of sampling sites in the atmospheric environmental monitoring was discussed. The method was proven to be suitable andeffective. The results were admitted and applied by the Environmental Protection Bureau (EPB) of many cities of China. A set of computersoftware of this approach was also completely compiled and used.

作 者： FANG Chun-sheng WANG Ju DONG De-ming YU Lian-sheng   作者單位： College of Environment and Resources, Jilin University, Changchun 130023, China  刊 名： 環(huán)境科學(xué)學(xué)報(bào)(英文版)  ISTIC SCI 英文刊名： JOURNAL OF ENVIRONMENTAL SCIENCES  年，卷(期)： 2003 15(4)  分類(lèi)號(hào)： X51 X11  關(guān)鍵詞： fuzzy set   primary matrix element theorem   fisher classification method   optimization of sampling sites  

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