Multi-attribute decision-making based on pythagorean fuzzy numbers and its application in hotel evaluations

Olanrewaju, Oludolapo Akanni and Rasool, Ehtisham and Kausar, Nasreen and Syed Ahmad, Sharifah Sakinah and Aydin, Nezir (2024) Multi-attribute decision-making based on pythagorean fuzzy numbers and its application in hotel evaluations. Decision Making: Applications in Management and Engineering, 7 (2). pp. 559-571. ISSN 2560-6018

[img] Text
00896311220241117461569.pdf

Download (594kB)

Abstract

This article describes a method for assessing hotel management using Pythagorean Fuzzy Numbers inside a Multi-attribute Decision-Making framework. It offers a grey relational analysis projection to deal with scenarios in which attribute values fluctuate within the Pythagorean Fuzzy Set range and attribute weights are unknown. The study developed numerous operational rules and computed the anticipated value and the Hamming distance between two Pythagorean Fuzzy Sets. The information entropy method was then utilized to calculate attribute weights, creating the Grey Relational Analysis and Grey Relational Projection methodologies. Alternatives were rated based on their proximity to the Positive Ideal Target using Grey Relational Projection values from both positive and negative ideal solutions for each alternative. The validity of this model was verified through a case study on hotel management evaluation, demonstrating its practicality and effectiveness, and Comparative Analysis involving the adjustment of criteria weight coefficients.

Item Type: Article
Uncontrolled Keywords: Multi-criteria decision-making technique (MCDMT), Pythagorean fuzzy number (PFN), Entropy technique (ET), Grey relational projection (GRP) technique, Hotel evaluation.
Divisions: Faculty of Information and Communication Technology
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 13 Apr 2026 08:05
Last Modified: 13 Apr 2026 08:05
URI: http://eprints.utem.edu.my/id/eprint/29656
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item