Different extensions of fuzzy sets usually help to provide more precise models in the real-world problems. In this study, the influence of using fuzzy ...
Different extensions of fuzzy sets usually help to provide more precise models in the realworld problems. In this study, the influence of using fuzzy extensions ...
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On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems. F Aghaeipoor, MM Javidi. Applied Soft Computing 79, 283-299, 2019.
Oct 22, 2024 · Linguistic fuzzy modelling, developed by linguistic fuzzy rule-based systems, allows us to deal with the modelling of systems by building a ...
Backfitting of fuzzy rules is an Iterative Rule Learning technique for obtaining the knowledge base of a fuzzy rule-based system in regression problems.
Feb 21, 2024 · Our contribution in this paper is to present a real medical diagnostic system based on semantics, fuzzy, and dynamic decision rules.
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On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems · Fatemeh AghaeipoorM. Javidi. Computer Science. Appl. Soft Comput ...
May 25, 2015 · For example, its accuracy is lower for some complex problems, which is due to the structure of its linguistic rules (Cordon et al. 2001). The ...
Jul 12, 2022 · In this work, we propose a new extension of the fuzzy linguistic grammar and a mainly novel interpretable linear extension for regression problems.
Missing: influence | Show results with:influence
Aghaeipoor, On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems, Appl. Soft Comput. J., № 79, с. 283 https://doi ...