A Comparison of Fuzzy AHP and Ideal Point Methods for Evaluating Land Suitability

This article compares two fuzzy approaches to land suitability evaluations, Analytical Hierarchy Process (AHP) and Ideal Point. The methods were evaluated using a case study which models the opportunities for wheat production under irrigation conditions in the north-western region of Jeffara Plain, Libya. A number of relevant soil and landscape criteria were identified through a review of the literature and their weights specified as a result of discussions with local experts. The results of the Fuzzy AHP showed that the majority of the study area has membership values to the set of suitability between 0.40 and 0.50, while the results of the Ideal Point approach revealed most of the study area to have membership values between 0.30 and 0.40. While the Fuzzy AHP and Ideal Point approaches accommodate the continuous nature of many soil properties and produce more intuitive distributions of land suitabilities values, the Fuzzy AHP approach was found to be better than Fuzzy Ideal Point. This was due to the latter’s tendency to be biased towards positive and negative ideal values.

[1]  Diego de la Rosa,et al.  MicroLEIS: A microcomputer‐based Mediterranean land evaluation information system , 1992 .

[2]  Khalid A. Eldrandaly,et al.  Integrating GIS and MCDM Using COM Technology , 2005, Int. Arab J. Inf. Technol..

[3]  Daniel Sánchez,et al.  Using fuzzy data mining to evaluate survey data from olive grove cultivation , 2009 .

[4]  Mahmoud Omid,et al.  Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region) , 2010 .

[5]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[6]  Robert Gilmore Pontius,et al.  A generalized cross‐tabulation matrix to compare soft‐classified maps at multiple resolutions , 2006, Int. J. Geogr. Inf. Sci..

[7]  P. Burrough,et al.  FUZZY CLASSIFICATION METHODS FOR DETERMINING LAND SUITABILITY FROM SOIL PROFILE OBSERVATIONS AND TOPOGRAPHY , 1992 .

[8]  Reza Banai,et al.  Fuzziness in Geographical Information Systems: Contributions from the Analytic Hierarchy Process , 1993, Int. J. Geogr. Inf. Sci..

[9]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[10]  Fredrick N Muchena,et al.  Planning sustainable land management: finding a balance between user needs and possibilities , 1997 .

[11]  Herry Purnomo,et al.  Guidelines for applying multi-criteria analysis to the assessment of criteria and indicators , 1999 .

[12]  D. A. Davidson,et al.  A Land Evaluation Project in Greece Using GIS and Based on Boolean and Fuzzy Set Methodologies , 1996, Int. J. Geogr. Inf. Sci..

[13]  David G. Rossiter.  ALES: a framework for land evaluation using a microcomputer , 1990 .

[14]  Ibrahim Chaddad,et al.  An application of land suitability evaluation for FTDP: a fuzzy MCDM approach , 2009 .

[15]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making — An Overview , 1992 .

[16]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[17]  J. Malczewski,et al.  Ordered weighted averaging with fuzzy quantifiers: GIS-based multicriteria evaluation for land-use suitability analysis , 2006 .

[18]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[19]  Jorge López-Blanco,et al.  Delineation of suitable areas for crops using a Multi-Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico , 2003 .

[20]  SUMBANGAN BAJA,et al.  A Conceptual Model for Defining and Assessing Land Management Units Using a Fuzzy Modeling Approach in GIS Environment , 2002, Environmental management.

[21]  Jacek Malczewski,et al.  A. GIS-Based Approach to Multiple Criteria Group Decision-Making , 1996, Int. J. Geogr. Inf. Sci..

[22]  T N Prakash,et al.  Land Suitability Analysis for Agricultural Crops: A Fuzzy Multicriteria Decision Making Approach , 2003 .

[23]  J. Voogd,et al.  Multicriteria evaluation for urban and regional planning , 1982 .

[24]  Fangju Wang,et al.  Comparison of Boolean and Fuzzy Classification Methods in Land Suitability Analysis by Using Geographical Information Systems , 1992 .

[25]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[26]  Peter A. Burrough,et al.  Mapping and map analysis: new tools for land evaluation , 1987 .

[27]  A. McBratney,et al.  Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions , 1997 .

[28]  Anthony Young,et al.  Soil Survey and Land Evaluation in Developing Countries: A Case Study in Malawi , 1977 .

[29]  Lucien Duckstein,et al.  A Multiple Criteria Decision-Making Approach to GIS-Based Land Suitability Evaluation , 1993, Int. J. Geogr. Inf. Sci..

[30]  A. Young,et al.  Soil Survey and Land Evaluation. , 1982 .

[31]  Jacek Malczewski,et al.  GIS and Multicriteria Decision Analysis , 1999 .

[32]  E. Carranza,et al.  Fuzzy modeling of farmers' knowledge for land suitability classification , 2005 .

[33]  E. Van Ranst,et al.  Application of fuzzy logic to land suitability for rubber production in peninsular Thailand , 1996 .

[34]  Rico Vogel.  A Software Framework for GIS-based Multiple Criteria Evaluation of Land Suitability , 2008 .

[35]  Jess W. Everett,et al.  Landfill Siting Using Geographic Information Systems: A Demonstration , 1996 .

[36]  W-N Xiang,et al.  A Fuzzy-Group Multicriteria Decisionmaking Model and its Application to Land-Use Planning , 1992 .

[37]  Peter A. Burrough,et al.  Fuzzy mathematical methods for soil survey and land evaluation , 1989 .

[38]  Fulong Wu,et al.  SimLand: A Prototype to Simulate Land Conversion Through the Integrated GIS and CA with AHP-Derived Transition Rules , 1998, Int. J. Geogr. Inf. Sci..

[39]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[40]  Hong Jiang,et al.  Application of fuzzy measures in multi-criteria evaluation in GIS , 2000, Int. J. Geogr. Inf. Sci..

[41]  Orhan Dengiz,et al.  Geographic Information System and Remote Sensing Based Land Evaluation of Beypazarı Area Soils by ILSEN Model , 2003 .

[42]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[43]  F. Ziadat,et al.  Land suitability classification using different sources of information: Soil maps and predicted soil attributes in Jordan , 2007 .

[44]  Xuan Zhu,et al.  JavaAHP: a web-based decision analysis tool for natural resource and environmental management , 2001, Environ. Model. Softw..