A Fuzzy Multicriteria Analysis Approach to the Optimal Use of Reserved Land for Agriculture

  • Hepu Deng
  • Guifang Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3613)

Abstract

This paper presents a multicriteria analysis (MA) approach to solve the problem of the optimal use of reserved land for agriculture involving multiple criteria and subjective assessments. Linguistic terms approximated by fuzzy numbers are used to adequately model the subjectiveness and imprecision of the decision making process. The degree of similarity between fuzzy numbers is used to calculate the overall performance index for each alternative across all criteria based on the concept of fuzzy ideal solution. As a result, the unreliable and often computationally demanding process of comparing fuzzy utilities usually required in fuzzy MA is avoided, and effective decisions can be made. A case study in Shanghai, China is presented that shows the fuzzy MA approach developed is efficient in computation, simple and comprehensible in concept, and practical in solving this kind of problems.

Keywords

Fuzzy Number Linguistic Term Decision Matrix Effective Decision Very High 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Beek, K.J.: Land Evaluation for Agriculture Development: Some Exploration of Land Use System Analysis with Particular Reference to Latin America. In: International Institute for Land Reclamation and Improvement (ILRI), Wogeningen (1978)Google Scholar
  2. 2.
    Cannon, M., Kouvaritakis, B., Huang, G.: Modeling and Optimization for Sustainable Development Policy Assessment. Europe Journal of Operational Research 2, 475–490 (2005)CrossRefGoogle Scholar
  3. 3.
    Chen, S.H.: Ranking Fuzzy Numbers with Maximizing Set and Minimizing Set. Fuzzy Sets and Systems 2, 113–129 (1985)CrossRefGoogle Scholar
  4. 4.
    Chen, S.J., Hwang, C.L.: Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer, Heidelberg (1992)MATHGoogle Scholar
  5. 5.
    China Agriculture Ministry.: Classification of Type Regions and Fertility of Cultivated Land in China. China Agriculture Ministry, Beijing (1996)Google Scholar
  6. 6.
    Chiou, H.K., Tzeng, G.H., Cheng, D.C.: Evaluating Sustainable Fishing Development Strategies Using Fuzzy MCDM Approach. Omega 3, 223–234 (2005)CrossRefGoogle Scholar
  7. 7.
    Deng, H., Yeh, C.H.: Fuzzy Ranking of Discrete Multicriteria Alternatives. In: Proceeding of the IEEE Second International Conference on Intelligent Processing Systems, Gold Coast, Australia, pp. 344–348 (1998)Google Scholar
  8. 8.
    Ding, C.R.: Land Policy Reform in China: Assessment and Prospects. Land Use Policy 20, 109–120 (2003)CrossRefGoogle Scholar
  9. 9.
    Dowall, D.E.: An Overview of the Land Management Assessment Technique. In: Gareth, J., Peper, M.W. (eds.) Methodology for Land and Housing Market Analysis, UCL press, London (1994)Google Scholar
  10. 10.
    Garba, S., Al-Mubaiyedh, S.: An Assessment Framework for Public Urban Land Management Intervention. Land Use Policy 4, 269–279 (1999)CrossRefGoogle Scholar
  11. 11.
    Han, R.X., Han, T.K.: Sustainable Objectives of Reserved Land Resources Development. Territory and Natural Resources Study 3, 17–18 (1999)Google Scholar
  12. 12.
    Herrera, F., Verdegay, J.L.: Fuzzy Sets and Operations Research: Perspectives. Fuzzy Sets and Systems 2, 207–218 (1997)CrossRefMathSciNetGoogle Scholar
  13. 13.
    Jin, Z.G., Qu, X.H., Sun, P.: Investigation into the Assessment Approaches of Land Use Planning. Modern Agriculture 4, 5–6 (1997) (in Chinese)Google Scholar
  14. 14.
    Juang, C.H., Lee, D.H.: A Fuzzy Scale for Measuring Weights of Criteria in Hierarchical Structures. In: IFES, pp. 415–421 (1991)Google Scholar
  15. 15.
    Liang, G.S.: Fuzzy, MCDM Based on Ideal and Anti-ideal Concepts. European Journal of Operational Research 112, 682–691 (1999)MATHCrossRefGoogle Scholar
  16. 16.
    Lin, G.C.S., Ho, S.P.S.: China’s Land Resources and Land-use Change: Insights from the 1996 Land Survey. Land Use Policy 20, 87–107 (2003)CrossRefGoogle Scholar
  17. 17.
    Lv, X.J., Luo, L.T.: Application of Fuzzy Mathematics to the Quality Evaluation of the Added Cultivated Field through Exploitation and Upgrading. Journal of Xi’an University of Science and Technology 1, 65–68 (2004)Google Scholar
  18. 18.
    Mohamed, A.A., Mohamed, A.S., Herman, V.K.: An Integrated Agro-economic and Agro-ecological Methodology for Land Use Planning and Policy Analysis. International Journal of Applied Earth Observation and Geoinformation 2, 87–103 (2000)CrossRefGoogle Scholar
  19. 19.
    Ren, G.Y., Cai, Y.M.: The Characteristics and Countermeasures Related to Exploitation of Reserved Cultivated Land Resources in China. Resources Sciences 5, 46–51 (1998)Google Scholar
  20. 20.
    Ren, W.J., Zhong, Y., Meligrana, J., et al.: Urbanization, Land Use, and Water Quality in Shanghai 1947-1996. Environment International 29, 649–659 (2003)CrossRefGoogle Scholar
  21. 21.
    Shanghai Municipal Bureau of Housing and Resources Administration.: Investigation of Reserved Land Resources in Shanghai, China (2003)Google Scholar
  22. 22.
    Shao, X., Chen, C.K.: Recent Process in the Study of Land Evaluation in China. Acta of Geographic Sinica 1, 75–83 (1993)Google Scholar
  23. 23.
    Stewart, T.J., Janssen, R., Herwijnen, M.V.: A Genetic Algorithm Approach to Multiobjective Landuse Planning. Computers and Operations Research 31, 2293–2313 (2004)MATHCrossRefMathSciNetGoogle Scholar
  24. 24.
    Stomph, T.J., Fresco, L.O., Van Keulen, H.: Land Use System Evaluation: Concepts and Methodology. Agriculture System 44, 243–255 (1994)CrossRefGoogle Scholar
  25. 25.
    Tang, Y.: Urban Land Use in China: Policy Issues and Options. Land Use Policy 6, 53–63 (1989)CrossRefGoogle Scholar
  26. 26.
    Verheye, W.H.: Land Use Planning and National Soil Policies. Agricultural Systems 53, 161–174 (1996)CrossRefGoogle Scholar
  27. 27.
    Wu, J.G., Zhang, T.: Evaluation Method and Application of Reserved Cultivated Land. Territory and Natural Resources Study 9, 1–3 (1999)Google Scholar
  28. 28.
    Xiang, W.N., Gross, M., Fabos, J.G., MacDougall, E.B.: A Fuzzy-group Multicriteria Decision-Making Model and Its Application to Land-use Planning. Environment and Planning B: Planning and Design 19, 61–84 (1992)CrossRefGoogle Scholar
  29. 29.
    Yeh, C.H., Deng, H., Chang, Y.H.: Fuzzy Multicriteria Analysis for Performance Evaluation of Bus Companies. European Journal of Operational Research 126, 459–473 (2000)MATHCrossRefGoogle Scholar
  30. 30.
    Zadeh, L.A.: Some Reflections on the Anniversary of Fuzzy Sets and Systems. Fuzzy Sets and Systems 1-3, 5–7 (1998)CrossRefMathSciNetGoogle Scholar
  31. 31.
    Zhu, Y.X., Lin, B.R.: Sustainable Housing and Urban Construction in China. Energy and Building 12, 1287–1297 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hepu Deng
    • 1
  • Guifang Yang
    • 2
  1. 1.School of Business Information TechnologyRMIT UniversityMelbourneAustralia
  2. 2.Department of GeographyEast China Normal UniversityShanghaiChina

Personalised recommendations