Comparison of three membership function in land suitability by fuzzy set theory in Amol region, IRAN

Document Type : Original Article

Author

Abstract

Fuzzy sets are classes without sharp boundaries; that is, the transition between membershipand non-memberships of a location in the class is gradual. A fuzzy set, is described by a fuzzy membership functions that range from 0.0 to 1.0, representing a continuous increase from non-membership to complete membership.‌ Additionally, membership function is one of important factors on land suitability evaluation by fuzy set theory. The goal ofthis research was the coparison of three membership functions in land suitability by fuzzy set theory in East Amol region for irrigated rice. In order to achive to this goal, 8 properties were selected based on FAO framework approach and then land suitability evaluation was done on 17 land units of study area. The results indicated that climate had higher and cation exchenge capacity had lower weights than other criteria in study reigin for the growth of irrigated rice. Calculated correlation coefficients between land index and observed production by fuzzy method with kandel membership function was (r= 0.98) more than Cauchy (r= 0.75) and Trapezoidal (r=0.79) Membership function and relatively large difference in calculated correlation coefficient had been identified in candele membership function provides better results than others. Additionally, matlab software correctly predicted oweral weithing of this method based on transitional range. Finally, it could be expressed that the appropriate membership functions and transition range in fuzzy set theory can be used as an efficient method in land suitability evaluation.

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