Table 3 Fuzzy Rules Calculation in the Proposed Model.

From: A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification

Rule k

Condition

Weight W(i,k)

1

\({\text{Ac}}_{\text{i}}\) is \(\text{H}\) AND \({\text{Cf}}_{\text{i}}\) is \(\text{H}\)

\(\text{min}({\upmu }_{\text{H}}({\text{Ac}}_{\text{i}}),{\upmu }_{\text{H}}({\text{Cf}}_{\text{i}}))\)

2

\({\text{Ac}}_{\text{i}}\) is \(\text{M}\) AND \({\text{Cf}}_{\text{i}}\) is \(\text{H}\)

\(\text{min}({\upmu }_{\text{M}}({\text{Ac}}_{\text{i}}),{\upmu }_{\text{H}}({\text{Cf}}_{\text{i}}))\)

3

\({\text{Ac}}_{\text{i}}\) is \(\text{H}\) AND \({\text{Cf}}_{\text{i}}\) is \(\text{M}\)

\(\text{min}({\upmu }_{\text{H}}({\text{Ac}}_{\text{i}}),{\upmu }_{\text{M}}({\text{Cf}}_{\text{i}}))\)

4

\({\text{Ac}}_{\text{i}}\) is \(\text{M}\) AND \({\text{Cf}}_{\text{i}}\) is \(\text{M}\)

\(\text{min}({\upmu }_{\text{M}}({\text{Ac}}_{\text{i}}),{\upmu }_{\text{M}}({\text{Cf}}_{\text{i}}))\)