Discovering Reservoir Operating Rules by a Rough Set Approach

被引:0
作者
Salvatore Barbagallo
Simona Consoli
Nello Pappalardo
Salvatore Greco
Santo Marcello Zimbone
机构
[1] University of Catania,Faculty of Agriculture, Dipartimento di Ingegneria Agraria
[2] University of Catania,Faculty of Economics, Dipartimento di Economia e Metodi Quantitativi
[3] Mediterranean University of Reggio Calabria,Faculty of Agriculture, Dipartimento di Scienze e Tecnologie Agro
来源
Water Resources Management | 2006年 / 20卷
关键词
fuzzy measures; operating rules; reservoir management; Rough Set;
D O I
暂无
中图分类号
学科分类号
摘要
An integrated Rough Set approach is proposed and implemented to discover the historical operating rules of a Sicilian irrigation purpose reservoir. Operating rules are derived by expressing monthly releases from the reservoir as functions of stored volume, inflow and release during a 35-years period. This is accomplished through the Rough Set approach as implemented in the Rose package and the use of some indices able to recognize and further screen out the effective rules used in water supply reservoir management. This approach represents a new mathematical tool quite different to classical fuzzy rule-based systems in the decision rules induction. Results show that the integrated Rough Set approach allows to individuate with acceptable reliability the real criteria used for the system management.
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页码:19 / 36
页数:17
相关论文
共 53 条
[1]  
An A.(1996)Discovering rules for water demand prediction: an enhanced rough-set approach Engineering Application of Artificial Intelligence 9 645-653
[2]  
Shan N.(1980)Derivation of monthly reservoir release policies Water Resources Research 16 987-993
[3]  
Chan C.(2003)Rough set-based hybrid fuzzy-neural controller design for industrial wastewater treatment Water Research 37 95-107
[4]  
Cercone N.(2003)Analysis of the milk quality produced in some areas of the Sicilian region with innovative quantitative technology Journal of Commodity 42 147-161
[5]  
Ziarko W.(1999)Business failure prediction using rough sets European Journal of Operational Research 114 263-280
[6]  
Bhaskar N. R.(1990)Rough fuzzy sets and fuzzy rough sets Int. Journal of General Systems 17 191-200
[7]  
Whitlatch E. E.(1992)On the handling of continuous-valued attributes in decision tree generation Machine Learning 8 87-102
[8]  
Chen W. C.(1997)Planning reservoir operation with imprecise objectives Journal of Water Resources Planning and Management 123 154-162
[9]  
Chang N. B.(1997)-order additive discrete fuzzy measures and their representation Fuzzy Sets and Systems 92 167-189
[10]  
Chen J. C.(2001)Rough sets theory for multicriteria decision analysis European Journal of Operational Research 129 1-47