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ElixirConf 2023 - Aldebaran Alonso - Flex: Empowering Elixir w/ Fuzzy Logic for Real-World Solutions
Discover how Fuzzy Logic can empower Elixir with human-like decision making, enabling real-world solutions to handle uncertainty and complexity in domains like robotics, medical diagnosis, and more.
- Fuzzy Logic is a topic of AI that helps to model and handle uncertainty and creates systems that require human-like decision making.
- It is a way to integrate machine learning into the framework.
- The problem with binaries is that they are either 0 or 1, and the real world is not that simple.
- Fuzzy Logic can help by using fuzzy sets, which are collections of values that define a fuzzy variable.
- A fuzzy variable can be defined using membership functions, which are used to determine the degree of membership of an element in a fuzzy set.
- The fuzzy sets can be combined using operators, such as AND, OR, and NOT, to create complex fuzzy logic.
- Fuzzy Logic can be used to create controllers that can reason and make decisions based on incomplete or uncertain data.
- It can also be used to create systems that can learn from experience and improve over time.
- The main goal of Fuzzy Logic is to provide a way to handle uncertainty and create systems that can reason and make decisions like humans do.
- It is a framework that allows for the creation of complex logic and reasoning systems that can be used in a variety of applications.
- Fuzzy Logic is flexible and can be used to create a wide range of systems that require human-like decision making.
- It can be used in any domain where there is uncertainty and incomplete data, such as in the field of robotics, medical diagnosis, and more.
- Fuzzy Logic can be implemented using programming languages such as Elixir, and there are libraries available that can be used to create fuzzy logic systems.