Integrating Fuzzy Logic into Elixir for Intelligent Decision-Making

Aldebaran Alonso explores the use of Fuzzy Logic within Elixir to handle uncertain and imprecise information. Traditional programming languages struggle with ambiguous data, but Fuzzy Logic offers a framework to cope with such data effectively. It allows for modeling of imprecise data, through Fuzzy Sets, Linguistic Variables, and Fuzzy Rules, which are leveraged in an Elixir library called Flex. Alonso starts with the basics of Fuzzy Logic, then demonstrates integration with Elixir through Flex with practical examples. Flex aids in developing controllers and processing in vision computing, using AI to optimize manufacturing processes and embodying human knowledge. The talk includes a comparison between classical and fuzzy logic, the conversion of ambiguous data into a structured fuzzy system, and handling the data through various phases to derive meaningful results. Finally, discussion around the benefits, trade-offs, and potential future improvements concludes the session.