Sentence examples for decision techniques from inspiring English sources

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This study illustrated a design methodology using two decision techniques for achieving optimal product architecture.

SVM and Bayesian decision techniques can effectively solve the quadratic programming problem when classifying a large number of data sets with the same coefficient.

The multi-criteria decision techniques (MCDM) such as analytical hierarchy process (AHP) or personal judgments based on expert's opinion are often used to assign appropriate weights prior to integrate thematic layers in GIS environment.

Other expectations include development of new models that use final simulation results and apply decision techniques based on knowledge and methodology of the engineering to solve key problems introduced by users and even to suggest alternative solutions [9].

In Fig. 11, we present the obtained SIER curves versus the SNR considering the two proposed decision techniques, ie., the one using only the hard STBC and the BSLM-STBC.

Furthermore, to solve HCA problems, a revised case-based reasoning (RCBR) algorithm, is presented and a recommender system for software project planning is implemented, based on multiple objectives decision techniques and the mining approach.

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Furthermore, the BSLM-STBC decision technique leads to a significant gain compared to the hard decision technique.

Furthermore, the soft decision technique leads to a gain compared to the hard decision of 3 dB in the case of N = 256.

This decision technique relates a vector of observations (varvec{o}) to the strength of the hypothesis that the observed object belongs to the class (s_j), using two factors.

MC2 linear programming is an extension of linear programming (LP) and multiple criteria (MC) linear programming and a promising computer-aided decision technique in many applications.

Finally, the proposed precoding technique is detailed in Algorithm 2. Regarding the receiver side, we propose an efficient decision technique based on the MAP estimator to recover the transmitted sequence X as it will be explained in the next section.

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