Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status

نویسندگان

چکیده

The representation of the fuzzy set membership curve consisting trapezoidal, triangular, and linear shapes, has an important role in logic system. selection curve's shapes determines useable function affects output value. Previous studies generally used curves that had been employed predecessors or other did not explain reason for choosing a member curve. This condition became problem because there was guide selecting appropriate model parameters process so most researchers only use functions are commonly previous same case as their research. purpose this study to determine effect trapezoidal triangular on performance Tsukamoto's determining rice-fields suitability status. research methodology comprised 3 main stages. first stage data collecting, collect soil pH values, moisture, air temperature rice fields. second implementation Tsukamoto fuzzy. At stage, two were used. third comparative analysis fuzzy's curves. results obtained indicate is no significant difference between different functions. with have better accuracy rate 93% while 90%.

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ژورنال

عنوان ژورنال: Ilkom Jurnal Ilmiah

سال: 2022

ISSN: ['2087-1716', '2548-7779']

DOI: https://doi.org/10.33096/ilkom.v14i3.1156.255-263