Fuzzy multimodeling is concerned with the design and utilization of families rather than a single model. The intent is to approximate data that are ...
The main idea is to reveal the structural relationship between the input and output variables via a method of specialized fuzzy clustering. A. Fuuy Clustering ...
Fuzzy multimodeling is concerned with the design and utilization of families rather than a single model.
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A fuzzy rule-based multimodel is developed for this kind of system. The behavior of each Petri net transition is described by the combination of two linear ...
Fuzzy models are mathematical means of representing vagueness and imprecise information, where the term “fuzzy” comes from.
Mar 28, 2016 · The tools of fuzzy modeling enable to transform a linguistic description into an algorithm whose result is an action. The main theories applied ...
A multi-module adaptive fuzzy controller is designed for multipoint reactor core model of VVER-1000 to minimize the axial power variations among the ...
The fuzzy combination of local linear controllable canonical model gives controllable canonical T-S fuzzy model and then nonlinear feedback is obtained easily.
When you think about it, each node in a fuzzy logic model is its own model built from all the nodes below it, and provides a value for its associated statement.
Oct 22, 2024 · Fuzzy logic^ (Bezdek 1993 ) could be used to simulate a patient's condition that is non-static and has the capability to evolve and adapt over ...