Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Advance Journal of Food Science and Technology


Application of Fuzzy Projection Method to Water Resource Planning

1Yanqiu Zeng and 2Lianwu Yang
1Chengyi College, Jimei University, Xiamen 361021
2School of Mathematics and Computer Science, Yichun University, Yichun 336000, China
Advance Journal of Food Science and Technology  2015  2:129-134
http://dx.doi.org/10.19026/ajfst.7.1280  |  © The Author(s) 2015
Received: August ‎19, ‎2014  |  Accepted: September ‎14, ‎2014  |  Published: January 20, 2015

Abstract

Water resource planning is very important for water resources management. A desirable water resource planning is typically made in order to satisfy multiple objectives as much as possible. Thus the water resource planning problem is actually a Multiple Attribute Decision Making (MADM) problem. The aim of this study is to put forward a new decision method to solve the problem of water resource planning in which attribute values expressed with triangular fuzzy numbers. The new method is an extension of projection method. To avoid the subjective randomness, the coefficient of variation method is used to determine the attribute weights. A practical example is given to illustrate the effectiveness and feasibility of the proposed method.

Keywords:

Coefficient of variation, multiple attribute decision making, projection method, water resources planning,


References

  1. Alipour, M.H., A. Shamsai and N. Ahmady, 2010. A new fuzzy multicriteria decision making method and its application in diversion of water. Expert Syst. Appl., 37: 8809-8813.
    Direct Link    
  2. Chen, V.Y.C., H.P. Lien, C.H. Liu, J.J.H. Liou, G.H. Tzeng and L.S. Yang, 2011. Fuzzy MCDM approach for selecting the best environment-watershed plan. Appl. Soft Comput., 11(1): 265-275.
    Direct Link    Direct Link
  3. Ding, F., T. Yamashita, H.S. Lee and J.H. Ping, 2011. Scheme choice for optimal allocation of water resources based on fuzzy language evaluation and the generalized induced ordered weighted averaging operator. Fuzzy Inf. Eng., 2: 169-182.
    CrossRef    
  4. Goodman, A.S. and K.A. Edwards, 1992. Integrated water resources planning. Nat. Resour. Forum, 16: 65-70.
    Direct Link    Direct Link
  5. Hwang, C.L. and K. Yoon, 1981. Multiple Attribute Decision Making: Methods and Applications. Springer, Berlin.
    CrossRef    PMCid:PMC1214490    
  6. Ju, Y.B. and A.H. Wang, 2013. Projection method for multiple criteria group decision making with incomplete weight information in linguistic setting. Appl. Math. Model., 37: 9031-9040.
    CrossRef    
  7. Kim, Y. and E.S. Chung, 2013. Chung. Fuzzy VIKOR approach for assessing the vulnerability of the water supply to climate change and variability in South Korea. Appl. Math. Model., 37: 9419-9430.
    CrossRef    
  8. Kim, Y., E.S. Chung, S.M. Jun and S.U. Kim, 2013. Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS. Resour. Conserv. Recy., 73: 23-32.
    CrossRef    
  9. Li, Y.P., G.H. Huang, Z.F. Yang and S.L. Nie, 2008. IFMP: Interval-fuzzy multistage programming for water resources management under uncertainty. Resour. Conserv. Recy., 52: 800-812.
    CrossRef    
  10. Opricovic, S., 2011. Fuzzy VIKOR with an application to water resources planning. Expert Syst. Appl., 38: 12983-12990.
    CrossRef    
  11. Wang, Y.M., 1999. A new method for multi-indices decision and evaluation: A project method. Syst. Eng. Electron., 21: 1-4.
  12. Wang, X., C. White-Hull, S. Dyer and Y. Yang, 2000. GIS-ROUT: A river model for watershed planning. Environ. Plann. B, 27(2): 231-246.
    CrossRef    
  13. Wang, X.J., Z.H. Zou and H. Zou, 2013. Water quality evaluation of Haihe River with fuzzy similarity measure methods. J. Environ. Sci., 25(10): 2041-2046.
    CrossRef    
  14. Xu, Z.S., 2002. Study on method for triangular fuzzy number-based multi-attribute decision making with prefrence information on alternatives. Syst. Eng. Electron., 24(8): 9-12.
  15. Yager, R.R., 1981. A procedure for ordering fuzzy subsets of the unit interval. Inf. Sci., 24: 143-161.
    CrossRef    
  16. Yue, Z.L., 2012. Approach to group decision making based on determining the weights of experts by using projection method. Appl. Math. Model., 36: 2900-2910.
    CrossRef    
  17. Zarghaami, M., R. Ardakanian and A. Memariani, 2007. Fuzzy multiple attribute decision making on water. Resources projects case study: Ranking water transfers to Zayanderud Basin in Iran. Water Int., 32(2): 280-293.
    CrossRef    
  18. Zheng, G.Z., Y.Y. Jing, H.X. Huang and Y.F. Gao, 2010. Application of improved grey relational projection method to evaluate sustainable building envelope performance. Appl. Energ., 87: 710-720.
    CrossRef    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved