INERT
发表于 2025-3-23 13:09:42
Wolfgang Grundmann,Rudolf Rathnerment them with the knowledge of experts, which is usually not the case with the application of the above-mentioned classical methods. Evaluations and conclusions concerning complex dynamic processes are subjective, since they inevitably reflect the individual knowledge of an expert. Relationships be
STRIA
发表于 2025-3-23 14:11:14
http://reply.papertrans.cn/83/8238/823764/823764_12.png
FUME
发表于 2025-3-23 18:30:23
Wolfgang Grundmann,Rudolf Rathnerl time series of input linguistic variables and its aggregation in the fuzzy time series of a decision linguistic variable, a fuzzy logic control system is used. Obtained results are illustrated by an example showing the fuzzy prediction of decreasing financial risks of the Georgia-based organizatio
情爱
发表于 2025-3-23 22:17:50
Wolfgang Grundmann,Rudolf Rathnerful to them. The breadth of extremal methods and systems analysis, suggested by the range of topics covered in these papers, is characteristic of the field and also of the scholarly work of Professor Charnes. Extre mal methods and systems analysis has been a pioneering and systematic approach to th
HAVOC
发表于 2025-3-24 04:31:00
Wolfgang Grundmann,Rudolf Rathnerful to them. The breadth of extremal methods and systems analysis, suggested by the range of topics covered in these papers, is characteristic of the field and also of the scholarly work of Professor Charnes. Extre mal methods and systems analysis has been a pioneering and systematic approach to th
NUL
发表于 2025-3-24 08:55:21
http://reply.papertrans.cn/83/8238/823764/823764_16.png
Estrogen
发表于 2025-3-24 12:23:53
http://reply.papertrans.cn/83/8238/823764/823764_17.png
亵渎
发表于 2025-3-24 17:40:57
http://reply.papertrans.cn/83/8238/823764/823764_18.png
thalamus
发表于 2025-3-24 19:36:27
http://reply.papertrans.cn/83/8238/823764/823764_19.png
Dendritic-Cells
发表于 2025-3-25 02:57:48
Wolfgang Grundmann,Rudolf Rathnereries predictions, this prediction method is constructed on fuzzy terms of a decision linguistic variable in fuzzy time moments for the future evolution of a complex monotone system (business risks, climate change parameters, etc.). A new development deals with the problem of identification of discr