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The design model is obtained from a vehicle model using fuzzy modeling approach.
Sadjadi et al. (2005) proposed a multi-objective linear fractional inventory model using fuzzy programming.
This paper presents a new driver model using fuzzy logic controls.
They used the possibility measure to quantify the demand uncertainties and solved the model using fuzzy linear programming approach.
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.
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.
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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.
According to some behavioristic models, using fuzzy logic, the method of leader changing was used.
There is vagueness in pairwise comparisons, and this vagueness has been modeled using fuzzy concepts.
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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model using interpretive
model using standard
model using several
model using perceptual
model using different
model including fuzzy
model using frequency-domain
model using simple
model containing fuzzy
model using specific
model using experimental
model using live
model using multi-body
model using tf-idf
model using regional
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