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The model uses fuzzy set theory to capture the uncertainty associated with the transition rules and employs two automated methods of calibration: a genetic algorithm and simulated annealing.
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The design model is obtained from a vehicle model using fuzzy modeling approach.
This paper presents a new driver model using fuzzy logic controls.
In this research, the proposed multi-objective portfolio selection model has been transformed into a single-objective programming model using fuzzy normalization and uniform design method.
By contrast, a safety model using fuzzy logic approach employing fuzzy IF THEN rules can model the qualitative aspects of human knowledge and reasoning processes without employing precise quantitative analyses.
In this paper, the development of a safety model using fuzzy logic approach for modelling various design variables for maritime and offshore safety based decision making in the concept design stage is presented.
Sadjadi et al. (2005) proposed a multi-objective linear fractional inventory model using fuzzy programming.
They used the possibility measure to quantify the demand uncertainties and solved the model using fuzzy linear programming approach.
According to some behavioristic models, using fuzzy logic, the method of leader changing was used.
The proposal makes use of causal relations modelling using fuzzy cognitive maps.
eGNN builds interpretable multi-sized local models using fuzzy neurons for information fusion.
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CEO of Professional Science Editing for Scientists @ prosciediting.com