Fuzzy logic is a convenient way to map an input space to an output space. Consider the following examples. With information about how good your service was at a restaurant, a fuzzy logic system can tell you what the tip should be.
The chapter provides examples and applications based on fuzzy sets and fuzzy logic-based theory. Initially, basic and fundamental examples of day to day life are demonstrated in this chapter with necessary design details and step by step calculations. The examples included here are fuzzification of ...
From the series:Fuzzy Logic Brian Douglas Watch this fuzzy logic example of a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition about the system—no mathematical models necessary. ...
As can be seen from these examples, fuzzy logic is ideal for applications in process optimization and control, since it enables generation of easily understandable and adaptable rules. This way, process monitoring and control is improved, since it is possible to define corrective actions in the ca...
3. Security: Fuzzy Logic Systems lays a profound impact on the security protocols and is quickly being employed in the following: Various security applications and products. Decision Systems for security training. 4. Finance: In the finance and banking field, the fuzzy system in artificial intellig...
Type-2 fuzzy logic refers to a fuzzy logic system that has gained popularity in various applications, especially in pattern recognition and classification problems within the field of Computer Science. AI generated definition based on: Expert Systems with Applications, 2013 ...
Some applications of the fuzzy logic in the automated robotic deburring are described. Main motivations for these applications are (1) the unpredictability of positional inaccuracies and variations of burr sizes, which are difficult to measure; and (2) the nonlinear and complex behaviour of the debu...
Soil erosion, predicted with the two-variable fuzzy logic model using 30 m resolution GIS-based data sets of slope and landuse, was similarly distributed among the low, moderately low and moderate soil erosion categories. This was attributed to the lack of inherent fuzziness in the input data ...
"Is this object green?"), fuzzy logic addresses sets with subjective or relative definitions, such as "tall," "large," or "beautiful." This attempts to mimic the way humans analyze problems and make decisions, in a way that relies on ...