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# EMK19 | ||
A New Approach to Group Decision-Making Method Based on TOPSIS Under Fuzzy Soft Environment | ||
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Citation: | ||
Enginoğlu, S., Memiş, S., Karaaslan, F., 2019. A New Approach to Group Decision-Making Method Based on TOPSIS Under Fuzzy Soft Environment. Journal of New Results in Science, 8(2), 42-52. | ||
doi: https://dergipark.org.tr/tr/pub/jnrs/issue/51087/656500 | ||
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Abstract: | ||
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TOPSIS, developed in 1981 by Hwang and Yoon, is one of the known multi-criteria decision-making (MCDM) methods. In 2015, the group decision-making method | ||
based on TOPSIS under fuzzy soft environment was defined and applied to a decision-making problem by Eraslan and Karaaslan. Recently, this method has been | ||
configured by Enginoğlu and Memiş via fuzzy parameterized fuzzy soft matrices (fpfs-matrices), faithfully to the original, because a more general form is | ||
needed for the method in the event that the parameters have uncertainties. However, the configured method has two drawbacks which affect its running time | ||
and the ranking order negatively. We, in this study, improve this method by removing the disadvantages. We then compare the running time of these algorithms. | ||
The results show that the new method outperforms it, in particular, a large number of data come into question. For example, the proposed method offers | ||
up to 97.7672% of time advantage for ten objects and 9000 parameters. Afterwards, we apply the new method to a performance-based value assignment to | ||
seven state-of-art filters used in image denoising, so that we can order them in terms of performance. Finally, we discuss the need for further research. |