The Takagi-Sugeno-Kang (TSK) model is a type of fuzzy inference system that uses a combination of fuzzy logic and mathematical functions to model complex systems. It is particularly effective for control and decision-making tasks due to its ability to handle nonlinear systems with a rule-based approach that produces crisp, deterministic outputs.

Takagi-Sugeno-Kang Model

A Fuzzy Inference System (FIS) is a framework that maps inputs to outputs using fuzzy logic, allowing for reasoning in situations with uncertainty and imprecision. It is widely used in control systems, decision-making, and pattern recognition, where traditional binary logic falls short.

fuzzy inference system

Fuzzy Logic is a mathematical framework that allows for reasoning with uncertain or imprecise information, enabling more human-like decision-making in systems. It extends classical Boolean logic by introducing degrees of truth, making it particularly useful in fields like control systems, artificial intelligence, and decision-making processes.

fuzzy logic

Mathematical functions describe a relationship between a set of inputs and a set of possible outputs, where each input is related to exactly one output. They are fundamental in understanding and modeling real-world phenomena across various scientific disciplines, providing a framework for solving equations and analyzing patterns.

mathematical functions

Complex systems are characterized by intricate interactions and interdependencies among their components, leading to emergent behavior that cannot be easily predicted from the properties of individual parts. These systems are often adaptive, dynamic, and exhibit non-linear behaviors, making them challenging to analyze and manage.

complex systems

Control tasks

decision-making tasks

Nonlinear systems are systems in which the output is not directly proportional to the input, often leading to complex and unpredictable behavior. These systems are prevalent in nature and engineering, and require specialized mathematical tools for analysis and modeling.

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