A large-scale multi-attribute group decision-making method with R-numbers and its application to hydrogen fuel cell logistics path selection
R Cheng, J Fan, M Wu, H Seiti - Complex & Intelligent Systems, 2024 - Springer
The large-scale multi-attribute group decision-making (LSMAGDM) problem has become a
hot research topic in the field of decision science. An R-numbers large-scale multi-attribute …
hot research topic in the field of decision science. An R-numbers large-scale multi-attribute …
A robust multi-view knowledge transfer-based rough fuzzy C-means clustering algorithm
F Zhao, Y Yang, H Liu, C Wang - Complex & Intelligent Systems, 2024 - Springer
Rough fuzzy clustering algorithms have received extensive attention due to the excellent
ability to handle overlapping and uncertainty of data. However, existing rough fuzzy …
ability to handle overlapping and uncertainty of data. However, existing rough fuzzy …
Conclusions of Type-3 Fuzzy Logic in Prediction
O Castillo, P Melin - Type-3 Fuzzy Logic in Time Series Prediction, 2024 - Springer
In this chapter the basic terminology and methods for designing type-3 fuzzysets,
membership functions, inference and fuzzy systems for prediction have been outlined in this …
membership functions, inference and fuzzy systems for prediction have been outlined in this …
Type-3 Fuzzy Logic in Time Series Prediction
O Castillo, P Melin - Type-3 Fuzzy Logic in Time Series Prediction, 2024 - Springer
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