DOI: 10.17776/csj.1864105 ISSN: 2587-2680

Entropy in Interval-Valued Fuzzy Soft Sets: Theory and Application

Serkan Atmaca
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In this study, the classical entropy concept is extended to interval-valued fuzzy soft sets to objectively determine criterion weights based on their discriminative power among alternatives. Furthermore, a correlation measure is formulated to improve the reliability of the weighting process. A systematic decision-making algorithm is then proposed and demonstrated through a numerical example, confirming the effectiveness of the method in dealing with uncertainty in complex decision environments.

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