Although many authors have proposed constraints on membership functions for automatic optimization processes, formal definitions of these constraints are usually not well connected with the theory of ...

Fuzzy sets are an aid in providing this information in a more human comprehensible or natural form, and can handle uncertainties at various levels. The neuro-fuzzy approach, symbiotically combining ...

Soft Computing techniques operate in an environment that is subject to uncertainty and imprecision with the aid of Fuzzy logic that aims at formalization of approximate reasoning. Gaussian fuzzy ...

Discover a simple and cost-effective method for constructing fuzzy membership functions in data science. Detect and eliminate outliers with ease using the five-number summary approach. See accurate ...

These are the most power-intensive components of fuzzy logic hardware, which are responsible for creating so-called membership functions (i.e., functions that define the extent to which an input ...

This paper examines the use of soft computing in intelligent machines. Soft computing is an important branch of computational intelligence, where fuzzy logic, probability theory, neural networks, and ...