Mark Hudson Beale
President

Home > A.I. Technolgy > Fuzzy Logic

Fuzzy logic allows human knowledge to be easily converted into information a computer can act on. People do not think in hard binary terms (on/off, yes/no) but use soft concepts (not heavy, somewhat heavy, heavy, very heavy, …). Being able to program a computer in the same terms that people use naturally can allow one persons knowledge to be deployed at many locations, more reliably and continuously.

For instance, the rule "If the temperature is very hot and the building will be occupied soon, then turn the air condition on high" can be easily written in fuzzy logic, so that a computer can control a building’s temperature based on temperature and a work schedule in the same way we would expect a person to.

If a paper mill operator has spent years learning how to manually control a chemical process, that knowledge can be captured with fuzzy logic resulting in valuable computer program that can do the same job automatically and easily edited in the future when changes occur to the chemical process.

The Fuzzy Systems Toolbox for MATLAB provides a set of tools for designing, editing, optimizing, and testing systems of fuzzy rules for any area of application.

We are available for courses on fuzzy logic and consulting on fuzzy logic problems