Land Suitability Analysis Comparing Boolean Logic with Fuzzy Analytic Hierarchy Process

Mukhtar Elaalem, Alexis Comber, and Peter Fisher
Department of Geography University of Leicester Leicester, United Kingdom
{me84, ajc36,pffl}@le.ac.uk

Abstract: Sustainable land management in agriculture is a very complex and challenging concept, especially in developing countries. Optimal use of land is very important in the context of rapid population growth and urban expansion which make available land for agriculture a relatively scarce commodity. Agricultural land management planning seeks to identify the most beneficial land uses whilst improving and conserving land resources for future. This paper compares land suitability models for barley using Boolean logic theory and Fuzzy Analytic Hierarchy Process method (FAHP) for a test area within North-Western region of Jeffara Plain of Libya. The logic of the different models is explored in relation to land qualities and land characteristics and their influence on the model outputs. The results of the FAHP models are based on standardizing land characteristics using different fuzzy set models and applying the pairwise comparisons for criteria weighting to drive land suitability map for barley. Land suitability results for barley from the use the Fuzzy AHP and the Boolean methodologies have been derived. Error matrix and analysis of the results are presented using two assessment technologies; an overall accuracy and KAHAT statistic.

Keywords: sustainability; land evaluation; pairwise comparisons; Fuzzy Analytical Hierarchy Process; Boolean evaluation.

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