What are the meanings of fuzzy rules expressed in indices format?

1 1, 1 (1) : 2

2 0, 2 (1) : 1

Regards

Answer 1

[Sam Chak]

Hi @Yadollah Sabri

1 1, 1 (1) : 2

2 0, 2 (1) : 1

This approach is one of several ways to specify the rules using membership function indices. The first row (without ID) refers to the first rule, while the second row corresponds to the second rule. The indices for the fuzzy rules in this format have the following meanings:

• Column 1 — Index of the membership function for the first input
• Column 2 — Index of the membership function for the second input
• Column 3 — Index of the membership function for the output
• Column 4 — Rule weight (ranging from 0 to 1)
• Column 5 — Fuzzy operator (1 for AND, 2 for OR)

For the second rule (in the second row), the '0' in Column 2 indicates that the second input is 'none'.