ADVANCED ENTROPY MODELS IN PYTHAGOREAN FUZZY SETS: REVOLUTIONIZING MULTI-CRITERIA DECISION MAKING WITH PF-VIKOR
S. Abbas. Faculty of Engineering, Sciences and Technology, Iqra University Karachi, Pakistan. E-mail: sahar.abbas@iqra.edu.pk
Zahoor Hussain. Faculty of Computing and Emerging Technologies (FCET), Hyderabad Institute for Technology and Management Sciences, Pakistan. E-mail: zahoor.hussain@hitms.edu.pk
Zahid Hussain. Department of Mathematical Science, Karakoram International University, Gilgit-Baltistan, Pakistan. E-mail: zahid.hussain@kiu.edu.pk
I. Ali. Department of Applied Mathematics, Northwestern Polytechnical University, Xian, China. E-mail: israr.ali328250@gmail.com
S. M. Mudabar. Institute of Business Administration (IBA) Karachi, Pakistan. E-mail: smudabbir@iba.edu.pk
- Fuzzy Economic Review: Volume 29, Number 2, 2024
- DOI: 10.25102/fer.2024.02.03
Entropy is a fuzzy set (FS) property that measures the degree of fuzziness within a FS. This manuscript proposes an entropy measure based on the Pythagorean fuzzy decision-making (PFDM) method. Firstly, a novel definition is suggested with the help of interrelated properties. Secondly, the degree of hesitation is also added…
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