Year: 2026
Type: article
Abstract: Complex fuzzy distance measures play a vital role in analyzing intricate and high-dimensional data, whereas conventional distance measures often fail to capture the nuanced characteristics of information.In this study, we propose a novel distance measure along with a weighted variant based on complex fuzzy sets.The fundamental properties of the proposed measure were examined through union, intersection, and complementary operations within a complex fuzzy set framework.Furthermore, we developed a decision-making algorithm that utilized these distance measures to identify the optimal choice among multiple alternatives.To demonstrate the effectiveness of the proposed approach, a practical example is presented that highlights its application to real-world decision-making problems.
Authors: Hira Haleem Lodhi, Madad Khan
Institution: COMSATS University Islamabad
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7143371915
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