Organizers: Martine Ceberio (University of Texas at El Paso), Christoph Lauter (University of Texas at El Paso), Vladik Kreinovich (University of Texas at El Paso)

Description: Interval uncertainty is closely related to fuzzy techniques: indeed, if we want to know how the fuzzy uncertainty of the inputs propagates through the data processing algorithm, then the usual Zadeh's extension principle is equivalent to processing alpha-cuts (intervals) for each level alpha. This relation between intervals and fuzzy computations is well known, but often, fuzzy researchers are unaware of the latest most efficient interval techniques and thus use outdated less efficient methods. One of the objectives of the proposed session is to help the fuzzy community by explaining the latest interval techniques and to help the interval community to better understand the related interval computation problems. Yet another relation between interval and fuzzy techniques is that the traditional fuzzy techniques implicitly assume that experts can describe their degree of certainty in different statements by an exact number. In reality, it is more reasonable to expect experts to provide only a rage (interval) of possible values -- leading to interval-valued fuzzy techniques that, in effect, combine both types of uncertainty.

Special Session on Fuzzy Education

Organizers: Christian Servin (El Paso Community College), Olga Kosheleva (University of Texas at El Paso)

Description: This session plans to cover both aspects of the relation between fuzzy and education: (1) the need to teach fuzzy logic to different audiences, ranging from (potentially) elementary, middle, and high schools all the way to undergraduate and graduate students and interested professionals; (2) use of fuzzy techniques to analyze and enhance education process. Many educational techniques and ideas are described by using imprecise (fuzzy) natural-language words, so fuzzy techniques - originally designed to translate this imprecise knowledge into precise terms - are an appropriate technique for dealing with education.

Special Session on Theory and Applications of Fuzzy Reasoning Systems

Organizers: Michal Baczynski (University of Silesia in Katowice, Poland), Krzysztof Dyczkowski (Adam Mickiewicz University in Poznań, Poland), Barbara Pekala (University of Rzeszów, Poland)

Description: Fuzzy reasoning systems have become essential for modeling uncertainty, imprecision, and complex decision-making across a wide range of domains. By extending classical logic to manage vagueness and approximate reasoning, these systems offer more robust solutions in real-world scenarios where strict boundaries and binary classifications are insufficient. This special session will showcase recent theoretical developments, innovative methodologies, and practical applications of fuzzy reasoning systems. Topics of interest include, but are not limited to: • Advances in fuzzy set theory and fuzzy logic systems • Foundational and theoretical developments in fuzzy logic reasoning • Novel fuzzy inference mechanisms and rule-based systems • Hybrid fuzzy models integrating machine learning and artificial intelligence • Applications in control systems, decision support, and expert systems • Fuzzy approaches to data mining, pattern recognition, and natural language processing We invite researchers and practitioners to join this session to discuss emerging challenges, share insights, and explore new directions in the field of fuzzy reasoning.

Special Session on Modeling Continuous Logic Agents