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Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region)

Author

Listed:
  • Ali Keshavarzi
  • Fereydoon Sarmadian
  • Ahmad Heidari
  • Mahmoud Omid

Abstract

Because conventional Boolean retrieval of soil survey data and logical models for assessing land suitability treat both spatial units and attribute value ranges as exactly specifiable quantities, they ignore the continuous nature of soil and landscape variation and uncertainties in measurement which can result in the misclassification of sites that just fail to match strictly defined requirements. The objective of this research is to apply fuzzy set theory for land suitability evaluation in Ziaran region in Qazvin province, Iran. The study area was divided into 15 land units and 9 land characteristics considered to be relevant to irrigated wheat. The weight contributions of individual characteristics to observed yield were determined using the analytic hierarchy process (AHP). The use of the fuzzy technique is helpful for land suitability evaluation and classification of continuous variation, especially in applications in which subtle differences in land characteristics are of a major interest.

Suggested Citation

  • Ali Keshavarzi & Fereydoon Sarmadian & Ahmad Heidari & Mahmoud Omid, 2010. "Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region)," Modern Applied Science, Canadian Center of Science and Education, vol. 4(7), pages 1-72, July.
    • Handle: RePEc:ibn:masjnl:v:4:y:2010:i:7:p:72
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    References listed on IDEAS

    as
    1. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    2. Sicat, Rodrigo S. & Carranza, Emmanuel John M. & Nidumolu, Uday Bhaskar, 2005. "Fuzzy modeling of farmers' knowledge for land suitability classification," Agricultural Systems, Elsevier, vol. 83(1), pages 49-75, January.
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    Cited by:

    1. Ali Keshavarzi & Fereydoon Sarmadian & Reza Labbafi & Majid Vandechali, 2011. "Modeling of Soil Cation Exchange Capacity Based on Fuzzy Table Look-up Scheme and Artificial Neural Network Approach," Modern Applied Science, Canadian Center of Science and Education, vol. 5(1), pages 153-153, February.
    2. Nurmiaty Nurmiaty & Sumbangan Baja, 2014. "Using Fuzzy Set Approaches in a Raster GIS for Land Suitability Assessment at a Regional Scale: Case Study in Maros Region, Indonesia," Modern Applied Science, Canadian Center of Science and Education, vol. 8(3), pages 115-115, June.

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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