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An Interactive Fuzzy Multi-Objective Optimization Approach for Crop Planning and Water Resources Allocation

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Bio-Inspired Computational Intelligence and Applications (LSMS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4688))

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Abstract

A fuzzy multi-objective crop planning model is formulated for determining the optimal crop pattern and irrigation water resources allocation in the irrigated agriculture, in which the individual farmers and irrigation administrators put their views on three conflicting objectives: maximum of net returns, maximum of expected grain yield, and maximum of environmental returns. An interactive fuzzy multi-objective optimization (IFMOO) approach is applied to develop the sustainable crop planning for solving problems of vagueness and imprecision information related to data, model formulation and decision maker’s preferences involving in multi-objective linear programming (MOLP). The methodology is illustrated in a case study of crop pattern alternatives in Xingkaihu Lake Irrigation District of northeastern China. The incorporation of these socio-economic and environmental objectives demonstrates the capability of IFMOO approach and also works suitably in water resources management by trade-off procedures.

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Authors and Affiliations

  1. School of Civil and Hydraulic Engineering, Dalian University of Technology,116024 Dalian, China

    Huicheng Zhou, Hui Peng & Chi Zhang

Authors
  1. Huicheng Zhou
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  2. Hui Peng
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  3. Chi Zhang
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Editor information

Kang Li Minrui Fei George William Irwin Shiwei Ma

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© 2007 Springer-Verlag Berlin Heidelberg

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Zhou, H., Peng, H., Zhang, C. (2007). An Interactive Fuzzy Multi-Objective Optimization Approach for Crop Planning and Water Resources Allocation. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_37

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  • DOI: https://doi.org/10.1007/978-3-540-74769-7_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74768-0

  • Online ISBN: 978-3-540-74769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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