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This study presents a fuzzy MCDM approach for analyzing and evaluating the factors affecting the performance of the branches of a cargo company.
A new hesitant fuzzy analytic hierarchy process method is proposed for analyzing the factors affecting the performance of the branches of a cargo company.
In this study, we present a fuzzy MCDM approach for analyzing and evaluating the factors affecting the performance of the branches of a cargo company.
Since the integration of hesitant fuzzy sets (HFSs) [22] with analytic hierarchy process (AHP) [23] method seems an effective and successful approach to deal with uncertainty, HFSs-based AHP is proposed for analyzing the factors affecting the performance of the branches and also for prioritizing them according to their level of importance.
Hesitant fuzzy sets-based analytic hierarchy process method, which is an effective and successful approach to deal with uncertainty, is proposed for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.
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The transmission performance of the branch is determined by the middle joint.
The transmission performance of the branch is completely determined by joint 2. As indicated in the figure, the afferent force of joint 2 is (varvec{f}_{{j2{text{A}}}}), perpendicular to the link I.
It is important to mention that the performance of the branch-and-cut algorithm can further be improved if we permute the order in which the minimum cuts between r and i ∈ F, z i > 0, in CUT F case, and between r and j, j ∈ R, in CUT R case, are calculated.
The success of cargo firms in such a competitive environment mainly depends on the performance of these branches.
In the next section, application of hesitant fuzzy AHP for evaluating the factors affecting performance evaluation of the branches of a cargo company in Turkey is given.
A hesitant fuzzy sets extension of AHP is proposed for determining the importance weights and prioritizing the factors used in the performance evaluation of the branches of a cargo company.
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