基于粗糙集理论的排污收费优化模型

Chinese Journal of Management Science ›› 2007, Vol. 15 ›› Issue (2): 81-85.

Previous Articles Next Articles

Pollution Charge Optimization Model Based On Rough Set Theory

WANG Ya, LIU Bao-dong

School of Mathematics and System Sciences of Shandong University, Jinan 250100, Shandong, China

Received:2005-11-12 Revised:2007-02-11 Online:2007-04-30 Published:2007-04-30

Abstract

Abstract: Based on the rough set theory,a pollution charge optimization model is built.The contribution degree of polluters to the receptor is calculated by the knowledge of information entropy in rough set. Considering that administrators not just charge pollutions but also take part in reducing polluters,the ideal pollution tax is achieved when the cost of the whole society is minimized and the pollution is under control in each receptor.

Key words: rough set, information entropy, pollution tax, mathematical modeling

CLC Number:

C931

WANG Ya, LIU Bao-dong. Pollution Charge Optimization Model Based On Rough Set Theory[J]. Chinese Journal of Management Science, 2007, 15(2): 81-85.

[1]	Wei-dong ZHU,Yu-fei TIAN,Fu-wei ZHANG,Xue HU,Xiao-ya DAI. Research on the Relationship between Government Subsidy and SMEs Value Creation from Enterprise Life Cycle Perspective: Based on Rules Mining Using Agglomerative Hierarchical Clustering and Rough Sets [J]. Chinese Journal of Management Science, 2023, 31(8): 80-89.
[2]	YAN Hongxu , YU Shunkun , LIN Yiqing. Research on the Construction and Application of the Customer Value Portrait Model of Industrial Power Enterprise in China [J]. Chinese Journal of Management Science, 2021, 29(10): 224-235.
[3]	LIU Yong, Jeffrey Forrest, XIONG Xiao-xuan, LIU Si-feng. Variable Precision Rough Set Model and Application Based on Dominance Grey Degree [J]. Chinese Journal of Management Science, 2017, 25(2): 180-186.
[4]	YAO Deng-bao, LIU Xiao-xing, ZHANG Xu. Dynamic Correlation Structure Between Market Liquidity and Market Expectation:An Analysis Based on ARMA-GJR-GARCH-Copula Model [J]. Chinese Journal of Management Science, 2016, 24(2): 1-10.
[5]	CHEN Yun-xiang, DONG Xiao-xiong, XIANG Hua-chun, CAI Zhong-yi. Method for Combination Weighting Experts Based on Information Entropy and Cluster Analysis [J]. Chinese Journal of Management Science, 2015, 23(6): 142-146.
[6]	SUN Ying, BAO Xin-zhong. A New Combination Weighting Method and Its Application Based on Maximizing Deviations [J]. Chinese Journal of Management Science, 2011, 19(6): 141-148.
[7]	GUO Kai-hong, LI Wen-li. A Method for Multiple Attribute Group Decision Making with Complete Unknown Weight Information and Its Extension [J]. Chinese Journal of Management Science, 2011, 19(5): 94-103.
[8]	LUO Bin, SHAO Pei-ji, LUO Jin-yao, LIU Du-yu, XIA Guo-en. Customer Churn Prediction Model Fusing Multiple Classifier Based on Cost Sensitivity Study Using Ant Colony Optimization [J]. Chinese Journal of Management Science, 2010, 18(3): 58-67.
[9]	LUO Gong-zhi, YANG Xiao-jiang, LIU Si-feng. Rough Analysis Model of Multi-attribute Decision Making Based on Limited Dominance Relation [J]. Chinese Journal of Management Science, 2009, 17(5): 127-132.
[10]	LIANG Chang-yong, ZHANG En-qiao, QI Xiao-wen, LU Qing. A Method of Multi-Attribute Group Decision Making with Incomplete Hybrid Assessment Information [J]. Chinese Journal of Management Science, 2009, 17(4): 126-132.
[11]	BAO Xin-zhong, ZHANG Jian-bin, LIU Cheng. A New Method of Ascertaining Attribute Weight Based on Rough Sets Conditional Information Entropy [J]. Chinese Journal of Management Science, 2009, 17(3): 131-135.
[12]	LUO Gong-zhi, YANG Xiao-jiang. An Algorithm to Choose Reduction of Attributes of Variable Precision Dominance Rough Sets [J]. Chinese Journal of Management Science, 2009, 17(2): 169-175.
[13]	GAO Jun-shan, GU Dong-yuan, XU Zhang-yan, WU Yuan-wei, WEI Jing. New Conflict Analysis Model Based on Rough Set Theory [J]. Chinese Journal of Management Science, 2008, 16(2): 150-156.
[14]	XIE Gang, ZHANG Jin-long. Group Decision-making for Risk Avoidance in Software Project Bidding Based on VPRS [J]. Chinese Journal of Management Science, 2006, (2): 71-76.
[15]	XIAO Zhi, CHEN Ling, ZHONG Bo. R&D Project Termination Decision Based on Improved Rough Sets Theory [J]. Chinese Journal of Management Science, 2005, (6): 86-90.

Pollution Charge Optimization Model Based On Rough Set Theory

PDF (PC)

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0