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One of the main contributions of the paper is to model the fuzzy interdependent coefficients that represent the fraction of each homogeneous sublot.
The main advantages of our target-oriented decision model are its abilities to model the fuzzy uncertainty of targets as well as capture the non-additive behaviors among targets by means of discrete fuzzy measure and Choquet integral.
Utilizing the proposed model, the fuzzy assessment of the decision-maker and the interaction among various evaluation criteria can be a focus of the evaluation of the aggregation performance, thus ensuring more effective and accurate performance evaluation and decision-making.
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The results in Table 3 compare the forecasting for the three towers: Al-Jahra, Al-Mansouriya, Al-Riggaigga, using the pure persistence model, the linear time series model, and the fuzzy model.
In the same manner as for the simulation model, the fuzzy-c-means algorithm clusters the corresponding vectors comprising the policy thresholds.
A comparison of results from the regular non-fuzzy optimal model and the fuzzy model is also included.
First, an uncertain and nonlinear plant for the tracking of a reference trajectory is well approximated and described via the reference model and the fuzzy model involving fuzzy logic control rules.
They modeled the fuzzy overlapping group detection as an optimization problem.
By means of Takagi Sugeno fuzzy models, the fuzzy controller systems and the overall closed-loop fuzzy dynamics are constructed.
Based on the T S fuzzy hyperchaotic models, the fuzzy controllers for hyperchaotic synchronization are designed via the exact linearization techniques.
However, there are a few studies on the construction of dynamic signaling networks based on stoichiometric approaches, discrete Boolean models, the fuzzy logic models, the integer programming method and the ordinary differential equation (ODE -based methODE -based1- 27].
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