Z-number based neural network structured inference system
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Z-number-based concepts allow for better modeling of reality by further increasing expressiveness, conciseness, flexibility, and interpretability of production ...
Jul 17, 2024 · The inference mechanism of the multi-layered ZNIS consists of a fuzzifier, fuzzy rule base, inference engine, and output processor. Due to the ...
List of references · Aggarwal · T.G. Amaral, M. Crisóstomo, Adaptive neuro-fuzzy inference system for modelling and control, Intelligent Systems, 2002.
The proposed approach achieved around 99% recall rate on a public dataset. It is also compared to existing different conventional machine learning methods such ...
A Z-number based multi-attribute decision-making algorithm for hydro-environmental system management · Environmental Science, Engineering. Neural Computing and ...
The inference mechanism of the multi-layered ZNIS consists of a fuzzifier, fuzzy rule base, inference engine, and output processor. Due to the use of extended ...
Z-number based neural network structured inference system. Overview of attention for article published in Information Sciences Applications, June 2024.
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Z-number based neural network structured inference system ; 作者. R. A. Aliev,M. B. Babanli,B. G. Guirimov ; 出处. 期刊：Information Sciences [Elsevier]
Article "Z-number based neural network structured inference system" Detailed information of the J-GLOBAL is an information service managed by the Japan ...
May 20, 2024 · In this paper, an innovative perspective on a fuzzy inference system (FIS) was proposed to predict bearing capacity.