Evaluation of sustainable use of water resources in Beijing based on rough set and fuzzy theory

Water (Switzerland)

Volumn 9, Issue 11, 2017, Pages

  Men, Baohui ^a   Liu, Huanlong ^a   Tian, Wei ^b,c   Liu, Haoyue ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Fuzzy theory; Rough set; Sustainable use of water resources; Weights

Indexed keywords

ANALYTIC HIERARCHY PROCESS; ECONOMIC AND SOCIAL EFFECTS; FUZZY SET THEORY; ROUGH SET THEORY; WATER MANAGEMENT;

ANALYTIC HIERARCHY PROCESS (AHP); ATTRIBUTE RECOGNITION THEORIES; ECOLOGICAL ENVIRONMENTS; ECONOMIC AND SOCIAL DEVELOPMENT; FUZZY THEORY; SPEARMAN CORRELATION COEFFICIENTS; SUSTAINABLE USE; WEIGHTS;

WATER RESOURCES;

ECONOMIC DEVELOPMENT; FUZZY MATHEMATICS; SOCIAL DEVELOPMENT; WATER MANAGEMENT; WATER RESOURCE; WATER USE EFFICIENCY; WEIGHT;

BEIJING [CHINA]; CHINA;

EID: 85033565636     PISSN: None     EISSN: 20734441     Source Type: Journal    
DOI: 10.3390/w9110852     Document Type: Article

References (38)

1. Hoekstra, A.Y.; Chapagain, A.K.; Oel, P.R.V. Advancing water footprint assessment research: Challenges in monitoring progress towards sustainable development goal 6. Water 2017, 9
2. Deng, L.; Chen, S.; Karney, B. Comprehensive evaluation method of urban water resources utilization based on dynamic reduct. Water Resour. Manag. 2012, 26, 2733-2745
3. Dubois, D.; Prade, H.Weighted minimum and maximum operations in fuzzy set theory. Inform. Sci. 1986, 39, 205-210
4. Pawlak, Z. Rough sets and intelligent data analysis. Inform. Sci. 2002, 147
5. Pawlak, Z.; Skowron, A. Rough sets: Some extensions. Inform. Sci. 2007, 177, 28-40
6. Yao, Y. The two sides of the theory of rough sets. Knowl. Based. Syst. 2015, 80, 67-77
7. D'Eer, L.; Restrepo, M.; Cornelis, C.; Gómez, J. Neighborhood operators for covering-based rough sets. Inform. Sci. 2016, 336, 21-44
8. An, A.; Shan, N.; Chan, C.; Cercone, N.; Ziarko, W. Discovering rules for water demand prediction: An enhanced rough-set approach. Eng. Appl. Artif. Intell. 1996, 9, 645-653
9. Atanassov, K.T. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986, 20, 87-96
10. Deschrijver, G.; Kerre, E.E. On the relationship between some extensions of fuzzy set theory. Fuzzy Sets Syst. 2003, 133, 227-235
11. Zhao, J.; Li, M.; Guo, P.; Zhang, C.; Tan, Q. Agricultural water productivity oriented water resources allocation based on the coordination of multiple factors. Water 2017, 9
12. Esogbue, A.O.; Theologidu, M.; Guo, K. On the application of fuzzy sets theory to the optimal flood control problem arising in water resources systems. Fuzzy Sets Syst. 1992, 48, 155-172
13. Guan, J.; Aral, M.M. Optimal design of groundwater remediation systems using fuzzy set theory.Water Resour. Res. 2004, 40, 62-74
14. Song, S.B.; Cai, H.J. Comprehensive assessment method for region sustainable water resources. Adv. Water Sci. 2005, 16, 244-249. (In Chinese)
15. Beynon, M. Reducts within the variable precision rough sets model: A further investigation. Eur. J. Oper. Res. 2001, 134, 592-605
16. Zou, Q.; Zhou, J.; Zhou, C.; Song, L.; Guo, J. Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch. Environ. Res. Risk Assess. 2013, 27, 525-546
17. Peng, S.H.; Tang, C. Blending the analytic hierarchy process and fuzzy logical systems in Scenic beauty assessment of check dams in streams. Water 2015, 7, 6983-6998
18. Ding, X.; Chong, X.; Bao, Z.; Zhang, S. Fuzzy comprehensive assessment method based on the entropy weight method and its application in the water environmental safety evaluation of the Heshangshan drinking water source area, Three Gorges Reservoir area, China. Water 2017, 9
19. Wu, Y.N.; Yang, Y.S.; Feng, T.T.; Kong, L.N.; Liu, W.; Fu, L.J. Macro-site selection of wind/solar hybrid power station based on Ideal Matter-Element Model. Int. J. Electr. Power Energy Syst. 2013, 50, 76-84
20. Zar, J.H. Significance testing of the spearman rank correlation coefficient. J. Am. Stat. Assoc. 1972, 67, 578-580
21. Yang, G.; He, X.L.; Li, J.F.; Jia, X.J. The research of water resource sustainable utilization in Manas River. Acta Ecol. Sin. 2011, 9, 2407-2413. (In Chinese)
22. Condon, A.G.; Richards, R.A.; Rebetzke, G.J.; Farquhar, G.D. Breeding for high water-use efficiency. J. Exp. Bot. 2004, 55, 2447-2460
23. Gendron, C. Beyond environmental and ecological economics: Proposal for an economic sociology of the environment. Ecol. Econ. 2014, 105, 240-253
24. Liu, Z.J.; Zhang, M.; Wang, Z.Y.; Li, X.Y. A comprehensive assessment of the sustainable utilization of water resources in Zhengzhou city based on the ANN evaluation method. China Rural Water Hydropower 2008, 12, 55-58, 62. (In Chinese)
25. Zhou, N.Q.; Zhao, L.; Shen, X.P.; Li, Z.Z. A DPS1R model for vulnerability assessment of water resources system in ChangZhuTan area. J. Tongji Univ. Nat. Sci. 2013, 7, 1061-1066. (In Chinese)
26. Cherp, A.; Jewell, J.; Vinichenko, V.; Bauer, N.; Cian, E. Global energy security under different climate policies, GDP growth rates and fossil resource availabilities. Clim. Chang. 2016, 136, 83-94
27. Wang, H.S.; Yue, B.; Wang, J.; Lei, K.; Zong, Y.Y.; Wang, Y.W.; Hou, Y.N.; Tong, M.H. The study of the evaluation of water resources sustainable utilization in Beijing. Environ. Sustain. Dev. 2011, 36, 69-73. (In Chinese)
28. Halkijevic, I.; Vukovic, Z.; Vouk, D. Indicators and a Neuro-Fuzzy based model for the evaluation of water supply sustainability. Water Res. Manag. 2017, 31, 3683-3693
29. Eggers, S.; Griesser, M.; Ekman, J. Predator-induced reductions in nest visitation rates are modified by forest cover and food availability. Behav. Ecol. 2008, 19, 1056-1062
30. Sellaro, R.; Crepy, M.; Trupkin, S.A.; Karayekov, E.; Buchovsky, A.S.; Rossi, C.; Casal, J.J. Cryptochrome as a sensor of the blue/green ratio of natural radiation in Arabidopsis. Plant Physiol. 2010, 154, 401-409
31. Chen, W.; Xu, X.Y.; Wang, H.R.; Wang, W. The evaluation of water resources sustainable utilization in Beijing based on improved bank correlation analysis. J. Nat. Res. 2015, 30, 164-176. (In Chinese)
32. Gallardo, B.; Gascón, S.; Quintana, X.; Comín, F.A. How to choose a biodiversity indicator-Redundancy and complementarity of biodiversity metrics in a freshwater ecosystem. Ecol. Indic. 2011, 11, 1177-1184
33. Hu, T.; Lv, B.C.; Chen, G. Uncertainty knowledge representation method based on rough sets. Comput. Sci. 2000, 27, 90-92, 98. (In Chinese)
34. Liu, S.Z. The Research on AttributeWeight Based on Rough Set in the Forest Ecosystem Health Evaluation. Master's Thesis, CSUFT, Changsha, China, 2014. (In Chinese)
35. Ke, L.N.; Wang, Q.M.; Geng, Y.D.; Zhang, L. The island sustainable development evaluation model and its application in Changhai County based on the non-structural decision fuzzy set theory. Trans. Oceanol. Limnol. 2013, 1, 159-166. (In Chinese)
36. Yu, F.M.; Du, Z.C. Dynamic Analysis of Coupling Relationship between Economic Development and Ecological Environment Based on Entropy Method-A Case Study of Xi an City. Meteorol. Environ. Res. 2011, 9, 62-66
37. Chong, T.; Yi, S.; Che, H. Application of set pair analysis method on occupational hazard of coal mining. Saf. Sci. 2017, 92, 10-16
38. Pan, G.; Xu, Y.; Yu, Z.; Song, S.; Zhang, Y. Analysis of river health variation under the background of urbanization based on entropy weight and matter-element model: A case study in Huzhou City in the Yangtze River Delta, China. Environ. Res. 2015, 139, 31-35