What is the application of fuzzy sets?
Fuzzy logic has been used in numerous applications such as facial pattern recognition, air conditioners, washing machines, vacuum cleaners, antiskid braking systems, transmission systems, control of subway systems and unmanned helicopters, knowledge-based systems for multiobjective optimization of power systems.
What is fuzzy logic software?
Fuzzy logic is an approach to computing based on “degrees of truth” rather than the usual “true or false” (1 or 0) Boolean logic on which the modern computer is based. The idea of fuzzy logic was first advanced by Lotfi Zadeh of the University of California at Berkeley in the 1960s.
What is fuzzy set approach?
Fuzzy set theory is a research approach that can deal with problems relating to ambiguous, subjective and imprecise judgments, and it can quantify the linguistic facet of available data and preferences for individual or group decision-making (Shan et al., 2015a).
What is fuzzy set in data mining?
Fuzzy Set Theory is also called Possibility Theory. This theory allows us to work at a high level of abstraction. It also provides us the means for dealing with imprecise measurement of data. The fuzzy set theory also allows us to deal with vague or inexact facts.
What are the different fuzzy sets?
Fuzzy set operations: union, intersection and complement. Centroid (a very widely used operation by practitioners of such sets, and also an important uncertainty measure for them) Other uncertainty measures [fuzziness, cardinality, variance and skewness and uncertainty bounds.
What is fuzzy sets in data mining?
What are the types of fuzzy logic sets?
Interval type-2 fuzzy sets
- Fuzzy set operations: union, intersection and complement.
- Centroid (a very widely used operation by practitioners of such sets, and also an important uncertainty measure for them)
- Other uncertainty measures [fuzziness, cardinality, variance and skewness and uncertainty bounds.
- Similarity.