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Multi-source fuzzy comprehensive evaluation
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DOI：10.1016/j.asoc.2023.110042.png)
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Abstract
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The two-layer fuzzy comprehensive evaluation (FCE) is a common evaluation method, but it is not applicable to the situation when factor sets of data sources have intersections. Due to this situation being common in today's data deluge era, the two-layer FCE needs to be improved urgently. Therefore, this study proposes the multi-source FCE which does not limit whether factor sets have intersections or not. The objective of the multi-source FCE is to develop a comprehensive evaluation of an object (individual, product quality, customer credibility, etc.) on the basis of the evaluation data of each data source, whether factor sets of data sources have intersections or not. The underlying idea of the multi-source FCE is to fuse a multi-source FCE problem to an FCE problem. In the fusion process, this study forms an objective function to obtain optimal weights, and this makes the theoretical rationality of the multi-source FCE guaranteed. Finally, an example is given to illustrate the proposed method. (c) 2023 Published by Elsevier B.V.
Keywords:
Fuzzy comprehensive evaluation
Multi-source data
Weight vector
Journal
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6.6
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1.4W
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4.8W
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