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A Clustering Fuzzification Algorithm Based on ALM

Fuzzy Sets and Systems, 2020
In this paper, we propose a fuzzification method for clusters produced from a clustering process, based on Active Learning Method (ALM). ALM is a soft computing methodology which is based on a hypothesis claiming that human brain interprets information ...
Saeed Bagheri Shouraki   +2 more
exaly   +4 more sources

A new approach to the fuzzification of groups

Journal of Intelligent & Fuzzy Systems, 2019
In the present paper we present a new approach to the fuzzification of groups, which is defined by the hazy associative law (a new fuzzy associative law) on hazy binary operations. It is also called an M-hazy group.
Qi Liu, Fu-Gui Shi
semanticscholar   +2 more sources

Training Set Fuzzification Based on Histogram to Increase the Performance of a Neural Network

Applied Mathematics and Computation, 2021
Eva Volná   +2 more
exaly   +2 more sources

Intermediary Fuzzification in Speech Emotion Recognition

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020
Affective systems are getting increasingly more attention from researchers and high-tech companies in order to enable the acknowledgment or adaptation to a user’s mood.
Gustavo Assunção, Paulo Menezes
semanticscholar   +2 more sources

Neuro-Fuzzification Architecture for Modeling of Electrochemical Ion-Sensing Data of Imidazole-Dicarboxylate-Based Ru(II)-Bipyridine Complex.

Inorganic Chemistry, 2022
Anion- and pH-sensing behaviors of an imidazole-dicarboxylate-based Ru(II)-bipyridine complex possessing a number of dissociable protons in its secondary coordination sphere are employed here for the creation of multiple Boolean and fuzzy logic systems ...
Anik Sahoo   +3 more
semanticscholar   +1 more source

Geometric Fuzzification

Quaestiones Mathematicae, 2003
Abstract unavailable at this time... Mathematics Subject Classification (2000): 03E72, 52A01, 54E35, 53C70, 14M15 Quaestiones Mathematicae 25 (2002), 147 ...
Lubczonok, G, Remsing, C.C
openaire   +2 more sources

Exchange Rate Forecasting Based on Combined Fuzzification Strategy and Advanced Optimization Algorithm

open access: yesProcesses, 2021
Exchange rate forecasting is a crucial but challenging task due to the uncertainty and fuzziness of the associated data caused by complex influence factors. However, most traditional forecasting methods ignore the ambiguity of the data itself.
Muhammad Tayyab   +2 more
exaly   +2 more sources

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