Subscribe Now Subscribe Today
Research Article

Comprehensive Assessment Method of Soil and Water Conservation of Forest Ecosystems in China using Correlation Coefficient Between Interval-valued Fuzzy Sets

Zhi-Yong Bai and Dai Luo
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

This study introduces the correlation coefficient between Interval Valued Fuzzy Sets (IVFSs) and proposes an comprehensive assessment method of soil and water conservation of forest ecosystems based on the correlation coefficient, to solve the problem to assess the capability of soil and water conservation for some alternative places and determine the grades of the comprehensive evaluation in different regional conditions. A practical example of soil and water conservation in some alternative places of China is used for fuzzy comprehensive assessment problems as the demonstration of the applications and effectiveness of the proposed assessment method. The method proposed is significant on soil and water conservation in forest ecosystems and provide a new way to assess the capability of soil and water conservation.

Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

  How to cite this article:

Zhi-Yong Bai and Dai Luo, 2013. Comprehensive Assessment Method of Soil and Water Conservation of Forest Ecosystems in China using Correlation Coefficient Between Interval-valued Fuzzy Sets. Journal of Applied Sciences, 13: 3345-3349.

DOI: 10.3923/jas.2013.3345.3349


1:  Einstein, A., 1926. Die ursache der maanderbildung der fluBlaufe und des sogenannten baerschen gesetzes. Die Naturwissenschaften, 14: 223-224.
CrossRef  |  

2:  Atanassov, K. and G. Gargov, 1989. Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst., 31: 343-349.

3:  Atanassov, K.T., 1986. Intuitionistic fuzzy sets. Fuzzy Sets Syst., 20: 87-96.
CrossRef  |  Direct Link  |  

4:  Bennett, H.H., 1934. Soil erosion-A national menace. Sci. Monthly, 39: 385-404.
Direct Link  |  

5:  Fernandez, C., J.Q. Wu, D.K. McCool and C.O. Stockle, 2003. Estimating water erosion and sediment yield with gis, rusle and sedd. J. Soil Water Conserv., 58: 128-136.
Direct Link  |  

6:  Michael Hogan, C., L. Patmore, G. Latshaw and H. Seidman, 1973. Computer Modeling of Pesticide Transport in Soil for five Instrumented Watersheds. U.S. Environmental Protection Agency Southeast Water Laboratory, Athens, Ga. ESL Inc., Sunnyvale, California, pp: 25.

7:  David, J.C., S.L. Robert and G.G. Kenneth, 2011. Crop Ecology: Productivity and Management in Agricultural Systems. Cambridge University Press, New York, ISBN-13: 9781139500326, Pages: 562.

8:  Frederick, R.T., J.A. Hobbs and R.L. Donahue, 2003. Soil and Water Conservation for Productivity and Environmental Protection. 4th Edn., Prentice-Hall, Inc., New Jersey, ISBN: 0130968072.

9:  Mitasova, H., J. Hofierka, M. Zlocha, M. Zlocha and R. Iverson, 1996. Modeling topographic potential for erosion and deposition using GIS. Inter. J. Geographical Inform. Syst., 10: 629-641.
Direct Link  |  

10:  Renard, K.G., G.R. Foster, G.A. Weesies and J.P. Porter, 1991. RUSLE: Revised universal soil loss equation. J. Soil Water Conserv., 46: 30-33.
Direct Link  |  

11:  Zhang, L.J., C.M. Liu, C.J. Davis, D.S. Solomon, T.B. Brann and L.E. Caldwell, 2004. Fuzzy classification of ecological habitats from FIA data. Forest Sci., 50: 117-127.
Direct Link  |  

12:  Magcale-Macandog, D.B., M.E.M. Delgado, E. Ty and J.R.T. Villarin, 2006. A GIS-based model to improve estimation of aboveground biomass of secondary forests in the Philippines. J. Trop. For. Sci., 18: 8-21.
Direct Link  |  

13:  Mendoza, G.A. and R. Prabhu, 2003. Fuzzy methods for assessing criteria and indicators of sustainable forest management. Ecolo. Indicators, 3: 227-236.
CrossRef  |  

14:  2011. Soil and water conservation advances in the United States: A review. J. Soil Water Conserv., Vol. 66.
CrossRef  |  

15:  Hudson, N., 1987. Soil and water conservation in semiarid areas. FAO Soils Bulletin No. 57. FAO, Rome, pp: 172.

16:  Morgan, R.P.C., 2009. Soil Erosion and Conservation. John Wiley and Sons, New York.

17:  Rattan, L., R. Lal and R. Raj, 1998. Soil Quality and Soil Erosion. CPC Press, Florida.

18:  Tolga, K. and K. Cengiz, 2011. Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach. Exp. Syst. Appli., 386: 7326-7333.

19:  Toy, T.J., G.R. Foster and K.G. Renard, 2002. Soil Erosion: Processes, Prediction, Measurement and Control. 1st Edn., John Wiley and Sons, New York, ISBN: 0-471-38369-4, pp: 338.

20:  Zadeh, L.A., 1975. The concept of a linguistic variable and its application to approximate reasoning-I. Inform. Sci., 8: 199-249.
CrossRef  |  Direct Link  |  

21:  Zadeh, L.A., 1965. Fuzzy sets. Inform. Control, 8: 338-353.
CrossRef  |  Direct Link  |  

22:  Zhang, B., W.H. Li, G.D. Xie and Y. Xiao, 2009. Comprehensive assessment of soil conservation capacity of forest ecosystems in Beijing. Res. Soil Water Conserv., 16: 240-244.
Direct Link  |  

23:  Bustince, H. and P. Burillo, 1995. Correlation of interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst., 74: 237-244.
CrossRef  |  Direct Link  |  

©  2021 Science Alert. All Rights Reserved