They allow much greater generality and more closely approximate what we consider intelligence. They are especially useful for visual pattern recognition problems. Define and describe fuzzy logic. Fuzzy logic is a rule-based AI technology that tolerates imprecision, even using that imprecision to solve problems we could not solve before. Fuzzy logic creates rules that use approximate or subjective values and incomplete or ambiguous data.
Fuzzy logic is closer to the way people actually think than traditional IF-THEN rules.
The answer is fuzzy at best and cannot be programmed in an IF-THEN manner. Genetic algorithms control the generation, variation, adaptation, and selection of possible problem solutions using genetically-based processes. As solutions alter and combine, the worst ones are discarded and the better ones survive to go on and produce even better solutions. They are particularly suited to the areas of optimization, product design and the monitoring of industrial systems. Organizations can use them to minimize costs and maximize profits, and both to schedule and to use resources efficiently.