Work

Fuzzy rules with quantifiers as weights

Year: 2025

Type: article

Abstract: In this paper, we explore the use of General Unary Hypotheses Automaton quantifiers and provide representations for their specific subclasses. Furthermore, we focus explicitly on implicational quantifiers for analyzing specific relational dependencies. We discuss their suitability in fuzzy modeling and demonstrate their integration with appropriate fuzzy rules to create a new class of weighted fuzzy rules. This study contributes to the advancement of fuzzy modeling and offers a framework for further research and practical applications.

Source: International Journal of Approximate Reasoning

DOI: 10.1016/j.ijar.2025.109600

Authors: Martina Daňková, Dana Hliněná

Institutions: University of Ostrava, Brno University of Technology

Language: English

Topic: Advanced Algebra and Logic

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,050

Funders: European Commission, Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky