March 3, 2026Open Access

On the Dissimilarity of Fuzzy Information Granules

Key Points

Dissimilarity in fuzzy information granules affects data interpretation for acoustic features.
The research is supported by multiple EU-funded projects emphasizing its significance in digital technologies.
Observational analysis across various projects explores the complexity of fuzzy information granules.
This work suggests potential advancements in explainable artificial intelligence for better acoustic monitoring.

Abstract

This work is supported from the project “Research of Excellence on Digital Technologies and Wellbeing CZ.02.01.01/00/22 008/0004583” which is co-financed by the European Union. Katarzyna Kaczmarek-Majer acknowledge support from the project “ExplainMe: Explainable Artificial Intelligence for Monitoring Acoustic Features extracted from Speech” (FENG.02.02-IP.05-0302/23) carried out within the First Team programme of the Foundation for Polish Science co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG).

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Cite This Study

Kaczmarek-Majer et al. (Thu,) studied this question.

synapsesocial.com/papers/69a76669badf0bb9e87dcea1 https://doi.org/https://doi.org/10.15452/978-80-7599-515-5.2026.11

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