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Articles

Two-dimensional grey cloud clustering-fuzzy entropy comprehensive assessment model for river health evaluation

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Pages 726-756 | Received 23 May 2018, Accepted 11 Oct 2018, Published online: 01 Mar 2019

References

  • Atanassov KT. 2012. Intuitionistic fuzzy sets. Control Theor Appl 20:87–96.
  • Bain MB, Harig AL, Loucks DP, et al. 2000. Aquatic ecosystem protection and restoration: Advances in methods for assessment and evaluation. Environ Sci Policy 3:89–98.
  • Chessman BC. 2002. Assessing the conservation value and health of New South Wales rivers: The PBH (Pressure-Biota-Habitat) Project. Centre for Natural Resources, NSW Department of Land and Water Conservation, Sydney, Australia.
  • Deng JL. 1986. On basic methods of grey system. Press of Huazhong University of Science and Technology, Wuhan, pp 69–78.
  • Deng XJ, Xu YP, Zhai LX, et al. 2014. Establishment and application of the index system for urban river health assessment. Acta Ecol Sin 34:993–1001.
  • Dong FY, Liu JJ, Liu B, et al. 2010. Improved grey integrated clustering method and its application in the evaluation to rural economic development of Henan province. Syst Sci Compr Stud Agric 26:478–83.
  • Szmidt E, Kacprzyk J. 2001. Entropy for intuitionistic fuzzy sets. Fuzzy Sets Syst 118:467–477.
  • Fairweather PG. 1999. State of environment indicators of ‘river health’: exploring the metaphor. Freshw Biol 41:211–220.
  • Han C. 2015. The assessment and research of the Majia river's health. The Department of Civil Engineering, Shandong University, Jinan, China.
  • Huang GR, Wu CH, Xiang BW. 2014. Health state assessment of water-based system for Dongjiang basin based on rough set theory and set pair. Syst Eng Theory Pract 34:1345–1351.
  • Huang HP, Xu ZK, Li YL. 2015. River health based on cloud model of multi-level fuzzy comprehensive diagnosis: In Nanchang section of Ganjiang River. Resour Environ Yangtze Basin 24:62–69.
  • Jia L. 2016. River health assessment based on multi-factor model: A case study on water quality of Suzi river. J Yangtze River Sci Res Inst 33:28–32.
  • Karr JR. 1999. Defining and measuring river health. Freshw Biol 41:221–234.
  • Ladson AR, White LJ, Doolan JA, et al. 1999. Development and testing of an index of stream condition for waterway management in Australia. Freshw Biol 41:453–468.
  • Ladson AR. 2000. A multi-component indicator of stream condition for waterway managers: Balancing scientific rigour with the need for utility. The Department of Civil and Environmental Engineering, The University of Melbourne, Victoria, Australia.
  • Li DY, Liu CY. 2004. Study on the universality of the normal cloud model. Eng Sci 6:28–34 (in Chinese).
  • Li D, Zhou WL, Yang FY. 2016. Evaluation of climate suitability of winter wheat based on cloud model analysis: a case study of Suzhou, Anhui Province. Chin J Eco-Agric 24:944–956.
  • Li WJ, Qiu L, Chen XN. 2011. Assessment model for river ecology health based on set pair analysis and variable fuzzy set. J Hydraul Eng 39:775–782.
  • Li X, Liu ZY. 2016. Fuzzy self-adaptive ant colony algorithm based on cloud model. Comput Eng Appl 52:24–27.
  • Liu DF, Wang D, Han D, et al. 2014. Eutrophication assessment by Entropy-Cloud model. J Hydraul Eng 45:1214–1222.
  • Liu SF, Dang YG, Fang ZG, et al. 2010. Grey system theory and its application. Beijing: Science Press.
  • Liu SF, Forrest J, Yang YJ. 2012. A brief introduction to grey systems theory. Grey Syst Theor Appl 2:89–104.
  • Liu SF. 2006. On index system and mathematical model for evaluation of scientific and technical strength. Kybernetes 35:1256–1264.
  • Liu XY, Zhang JZ, Zhang YF. 2006. Indicators of the healthy Yellow river. Acta Geogr Sin 61:451–460.
  • Ma Y, Tian WJ, Fan YY. 2013. Quantum adaptive immune clone algorithm based on cloud model. Chin J Comput Phys 30, 627–632 (in Chinese).
  • Meyer JL. 1997. Stream health: Incorporating the human dimension to advance stream ecology. J North Am Benthol Soc 16:439–447.
  • Niekerk LV, Adams JB, Bate GC, et al. 2013. Country-wide assessment of estuary health: An approach for integrating pressures and ecosystem response in a data limited environment. Estuar Coast Shelf Sci 130:239–251.
  • Norris RH, Thoms MC. 2010. What is river health? Freshw Biol 41:197–209.
  • Pang HM, Liu HZ. 2016. Study on food safety surveillance and risk assessment based on cloud model. J Food Sci Technol 34:90–94.
  • Parsons M, Thoms MC, Norris RH. 2004. Development of a standardised approach to river habitat assessment in Australia. Environ Monitor Assess 98:109–130.
  • Rapport DJ, Whitford WG. 1999. How ecosystems respond to stress? Bioscience 49:193–203.
  • Raven PJ, Holmes NTH, Naura M, et al. 2000. Using river habitat survey for environmental assessment and catchment planning in the U.K. Hydrobiologia 422–423:359–367.
  • Schofield NJ, Davies PE. 1996. Measuring the health of our rivers. Water 23:39–43.
  • Shan CJ, Dong ZC, Fan KM, et al. 2012. Application of combination weighting method to weight calculation in river health evaluation. J Hohai Univ (Natural Sciences) 40:622–628.
  • Simpson JC, Norris RH, Wright JF, et al. 2000. Biological assessment of river quality: development of AUSRIVAS models and outputs.[C]//Assessing the biological quality of fresh waters: RIVPACS and other techniques. Proceedings of an International Workshop held in Oxford, UK, on 16–18 September 1997.
  • Sun P, Jiang ZQ, Wang TT, et al. 2016. Research and application of parallel normal cloud mutation shuffled frog leaping algorithm in cascade reservoirs optimal operation. Water Resour Manag 30:1019–1035.
  • Tang T, Cai QH, Liu JK. 2002. River ecosystem health and its assessment. Chin J Appl Ecol 13:1191–1194.
  • United States Environmental Protection Agency Office of Water. 1999. Rapid bioassessment protocols for use in wadeable streams and rivers: Periphyton, benthic macroinvertebrates, and fish. United States Environmental Protection Agency, Washington, DC, USA.
  • Verma R, Sharma BD. 2013. Exponential entropy on intuitionistic fuzzy sets. Kybernetika Praha 49:114–127.
  • Vugteveen P, Leuven RSEW, Huijbregts MAJ, et al. 2006. Redefinition and elaboration of river ecosystem health: Perspective for river management. Hydrobiologia 565:289–308.
  • Wang JQ, Wang P. 2012. Intuitionistic linguistic fuzzy multi-criteria decision-making method based on intuitionistic fuzzy entropy. Control Decis 27:1694–1698.
  • Wang RY, Li Y. 2016. Risk evaluation of urban flood disaster based on entropy-cloud model. Water Resour Power 34:61–63; 86.
  • Wang W, Xu X, Dong Z, Hu T. 2016. Assessment of river health based on projection pursuit-extension set theory. J Water Resour Water Eng 27:122–127.
  • Wang YD, Zhang XJ, Yan JM. 2013. Weight-varying gray cloud model based comprehensive evaluation on technical performance of overall grid-integration of wind farm. Power Syst Technol 37:3546–3551.
  • Wei CP, Gao ZH, Guo TT. 2012. An intuitionistic fuzzy entropy measure based on trigonometric function. Control Decis 27:571–574.
  • Weng LD. 2006. Ecological and environmental issues for the Yangtze basin. Resour Environ Yangtze Basin 15:614–618.
  • Wright JF, Furse MT, Moss D. 2010. River classification using invertebrates: RIVPACS applications. Aquat Conserv Mar Freshw Ecosyst 8:617–631.
  • Xia J, Zhang Y, Zhao C, et al. 2014. Bioindicator assessment framework of river ecosystem health and the detection of factors influencing the health of the Huai River basin, China. J Hydrol Eng 19:481–486.
  • Xiong HJ, Chen MY. 1999. Some problems on grey clustering. Syst Eng Electron 21:6–9.
  • Xu WG, Zhang QY, Guo H, et al. 2006. Improvement and application of grey clustering model in atmospheric quality comprehensive evaluation. Math Practice Theor 36:200–205.
  • Xu Y, Chen X. 2015. Transformer status assessment based on cooperative game and cloud model. Electr Power Autom Equip 35:88–93.
  • Xu ZK, Liu X, Wei BW, Zhang L, Wen YB. 2016. Tailings dam risk fuzzy evaluation model based on the cloud model. South North Water Transf Water Sci Technol 14:122–127.
  • Yang Z, Yang K, Jiang LW, et al. 2016. Application of combination weighting method to weight calculation in river health evaluation. Water Resour Power 34:1–5.
  • Zadeh LA. 1965. Fuzzy sets. Inform Control 8:338–353.
  • Zeng W, Li H. 2006. Relationship between similarity measure and entropy of interval valued fuzzy sets. Fuzzy Sets Syst 157:1477–1484.
  • Zhai J, Xu GB, Guo SY, Wang YZ. 2016. Research on river health assessment method based on coordinated development degree. J Hydraul Eng 47:1465–1471.
  • Zhang QS, Jiang SY. 2008. A note on information entropy measures for vague sets and its applications. Inform Sci 178:4184–4191.
  • Zhang QW, Zhang YZ, Zhong M. A cloud model based approach for multi-hierarchy fuzzy comprehensive evaluation of reservoir-induced seismic risk. J Hydraul Eng 45:87–95.
  • Zhang Q. 2002. The measure of grey characteristics of grey clustering result. Meas Grey Charac Grey Cluster Result V:54–56.

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