My degree is in control engineering. When I was at university (way back in the mists of time), the most sophisticated control techniques we had were bang-bang control, sequence control, and ...

Fuzzy Process Capability Analysis represents an advanced statistical framework that extends traditional process capability indices (PCIs) by incorporating fuzzy set theory. This approach allows ...

Fuzzy control is based on either expert knowledge or experimental data and, therefore, it possesses intrinsic qualities like robustness and ease of implementation. The mathematical modeling for fuzzy ...

Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance and ...

In this paper, we attempt to develop an integrated model of maintenance decision making by utilising AHP and Fuzzy Logic. The paper describes problems in maintenance arising from not having clear ...

Fuzzy Logic is a type of artificial intelligence (AI) that's designed to handle uncertainty and imprecision. Fuzzy Logic allows for the representation of vague concepts and the handling of incomplete ...

One night in July, 1964, the logician Lotfi Zadeh found himself alone in his parents’ New York apartment, his dinner plans cancelled. At the time, Zadeh later wrote, he was doing “a lot of thinking ...