DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-9830

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-4,Issue-9  ( Sep, 2017 )
Paper Title
Land Suitability Evaluation using Fuzzy Inference System
Author Name
Athira Balagopal, Meekhal Solomon, Jijith M P, Surekha Mariam Varghese
Affilition
Computer science and engineering Department, MACE
Pages
123-126
Abstract
A system for evaluating land suitability using fuzzy logic method has been developed. The system determines a degree of land suitability subclasses of given land characteristics. The main parts of the evaluation process, which included in the fuzzy inference engine of the knowledge based system, are fuzzification and defuzzification. The results of shows that the system can evaluate the land suitability for different types of crops of given land characteristics or vice versa. The evaluated rating indicates the degree of suitability for crops to be cultivated on a given land area with the existing conditions. Index terms - Fuzzification, Defuzzification, Fuzzy Inference System
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