Dasar logika fuzzy adalah teori him

Dasar logika fuzzy adalah teori himpunan fuzzy, dimana peranan derajat keanggotaan sebagai penentu keberadaan elemen dalam suatu himpunan sangatlah penting. Nilai keanggotaan atau derajat keanggotaan menjadi ciri utama dari penalaran dengan logika fuzzy tersebut. Logika fuzzy dapat dianggap sebagai kotak hitam yang menghubungkan antara ruang input menuju ruang output. Kotak hitam tersebut berisi cara atau metode yang dapat digunakan untuk mengolah data input menjadi output dalam informasi yang lebih baik. Logika fuzzy memberikan nilai spesifik diantara pernyataan benar atau salah dengan menentukan nilai keanggotaan bagi setiap nilai input sesuai membership function 0 – 1. Logika fuzzy terdiri dari beberapa proses didalamnya diantaranya fuzzifikasi, inferensi dan defuzzifikasi.[2],[8]

Hasil (Inggris) 1:

Basic fuzzy logic is fuzzy set theory, in which the role of determining the existence of degrees of membership as elements in a set is absolutely essential. The value of membership or degrees of membership became a major feature of the reasoning with fuzzy logic. Fuzzy logic can be thought of as a black box that connects between the input space to the space of output. The black box contains the ways or methods that can be used to manipulate the input data to be output in better information. Fuzzy logic provide specific values of true or false statements by determining the value of membership for each input value corresponding membership function 0-1. Fuzzy logic consists of several processes in it including fuzzifikasi, inference and defuzzifikasi.[2], [8]

Hasil (Inggris) 2:

Basic fuzzy logic is fuzzy set theory, where the role of the degree of membership as a determinant of the presence of elements in a set is very important. Membership value or degree of membership of the main attributes of the fuzzy logic reasoning. Fuzzy logic can be considered as a black box that connects between the input space to the output space. The black box contains ways or methods that can be used to process the input data into output in better information. Fuzzy logic provides a specific value between the statement is true or false to determine the membership value for each input value corresponding membership function 0 - 1. Fuzzy logic consists of several processes inside them fuzzification, inference and defuzzification. [2], [8]