What is fuzzy logic and how is it used?

Fuzzy logic is extensively used in modern control systems such as expert systems. Fuzzy Logic is used with Neural Networks as it mimics how a person would make decisions, only much faster. It is done by Aggregation of data and changing it into more meaningful data by forming partial truths as Fuzzy sets.

What is the importance of fuzzy sets in decision making?

Fuzzy sets are beneficial tool to detailed concept of uncertainty in decision making process. Making decisions is one of the most important activities of human beings. The field of decision making are the most effective and interesting area of application of fuzzy set theory.

What is the principle of fuzzy logic?

Fuzzy logic is a basic control system that relies on the degrees of state of the input and the output depends on the state of the input and rate of change of this state. In other words, a fuzzy logic system works on the principle of assigning a particular output depending on the probability of the state of the input.

How is fuzzy logic used in decision making?

Fuzzy Logic – Decision Making

1. Determining the Set of Alternatives − In this step, the alternatives from which the decision has to be taken must be determined.
2. Evaluating Alternative − Here, the alternatives must be evaluated so that the decision can be taken about one of the alternatives.

What is fuzzy image processing?

Fuzzy image processing is the approaches that understand, represent and process the images and their pixels with its values as fuzzy sets. The representation and processing is depending upon the selected fuzzy techniques and the problem to be solved.

What is fuzzy logic?

Fuzzy Logic is a powerful tool to represent and process human knowledge in form of fuzzy if-then rules

What is a fuzzy collection?

Collection of all approaches that understand, represent and process the images, their segments and features as fuzzy sets. The representation and processing depend on the selected fuzzy technique and on the problem to be solved. Fuzzy techniques can manage the vagueness and ambiguity efficiently (an image can be represented as a fuzzy set)

What is the fuzzy logic edge-detection algorithm?

The fuzzy logic edge-detection algorithm for this example relies on the image gradient to locate breaks in uniform regions. Calculate the image gradient along the x -axis and y -axis.