Hi am Abubakr i would like to get details on fuzzy logic artificial intelligence ppt ..My friend Justin said fuzzy logic artificial intelligence ppt will be available here and now
Fuzzy logic is not as blurry as you might think and has been quietly working behind the scenes for over 20 years in more places than most admit. Fuzzy logic is a rule-based system that can rely on the practical experience of an operator, particularly useful for capturing expert operator knowledge. Fuzzy logic is a form of artificial intelligence software; Therefore, it would be considered a subset of AI. Because you are making a decision-making process, you can be loosely included as a member of the AI software toolkit. Here's what you need to know to consider using fuzzy logic to help solve your next application. It's not as confusing as you might think.
Fuzzy logic has existed since the mid-1960s; However, it was not until the 1970s that a practical application was demonstrated. Since then, the Japanese have traditionally been the largest producer of fuzzy logic applications. Fuzzy logic has appeared in cameras, washing machines, and even in commercial value applications. In the last decade the United States has begun to grasp the use of fuzzy logic. There are many applications that use fuzzy logic, but they do not tell us about their use. Probably the biggest reason is that the term "fuzzy logic" may have a negative connotation.
Fuzzy logic can be applied to non-engineering applications, as illustrated in the stock trading application. It has also been used in medical diagnostic systems and handwriting recognition applications. In fact, a fuzzy logic system can be applied to almost any type of system that has inputs and outputs.
Fuzzy logic systems are suitable for nonlinear systems and systems that have multiple inputs and multiple outputs. Any reasonable number of entrances and exits can be accommodated. Fuzzy logic also works well when the system can not be easily modeled by conventional means.
Many engineers are afraid to dive into fuzzy logic because of a lack of understanding. Fuzzy logic does not have to be difficult to understand, even though the mathematics behind it can be intimidating, especially for those of us who have not been in a math class for many years.
Binary logic is 1 or 0. Diffuse logic is a continuum of values between 0 and 1. This can also be considered as 0% to 100%. An example is the variable YOUNG. We can say that age 5 is 100% YOUNG, 18 is 50% YOUNG, and 30 is 0% YOUNG. In the binary world everything under 18 would be 100% YOUNG, and everything above would be 0% YOUNG.
The design of a fuzzy logic system begins with a set of membership functions for each entry and a set for each output. Next, a set of rules is applied to the membership functions to obtain a "clear" output value.