Fuzzy Analytic Hierarchal Process for Sustainable Public Transport System

Abstract

The analytic The Analytic Hierarchy Process (AHP) is a well-established methodology for tackling complex multi-criteria decision problems in practical contexts. However, like many decision-making approaches, AHP confronts certain limitations, particularly in scenarios where evaluations are fraught with uncertainty and imprecision. This study sets out to enhance the capabilities of the AHP method and provide a comprehensive evaluation of public bus transport service quality within Budapest, Hungary. To address the inherent uncertainties in real-world decision-making, the study leverages the Fuzzy Analytic Hierarchy Process (FAHP), a fusion of Fuzzy Set Theory with the traditional AHP. This novel approach equips decision-makers with a more robust framework to handle the multifaceted nature of real-world decision problems. The study is grounded in empirical data obtained through dynamic surveys, ensuring its relevance to the actual conditions experienced in Budapest. Expert evaluators, well-versed in the field, contribute their assessments to enrich the analysis. This novel FAHP approach doesn't just promise improved decision-making outcomes; it also champions simplicity and comprehensibility. Its computational efficiency streamlines the decision-making process, providing a powerful tool for evaluating public bus transport service quality, thereby offering a significant contribution to the sustainable development of Budapest's transportation system.

Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector

“…Then, in order to respect the uncertain nature of such evaluations, the linguistic terms are converted to interval-valued Pythagorean fuzzy values. Interval-valued Pythagorean fuzzy numbers are used as they keep more information and uncertainty compared to classical fuzzy numbers (see Das and Granados, 2022;Narang et al, 2022;Dinçer et al, 2023;Younis Al-Zibaree and Konur, 2023;Jafarzadeh Ghoushchi and Sarvi, 2023;Rezazadeh et al, 2023). As DEMATEL approach can simultaneously determine importance weight values of the criteria and their influential impact on each other, an interval-valued Pythagorean fuzzy DEMATEL approach is developed for the first time for prioritizing the criteria and performing the causality analysis on them.…”

Multiplicative method based on expected criteria values

“…An important part of any method for multi-criteria analysis is determination of weighted coefficients of the criteria in the model (Saaty, 1980;Keeney & Raiffa, 1976;Kiptum et al, 2023). Many weighting techniques are proposed in literature, and they can be divided into two groups: objective methods where weighted coefficients are calculated according to a pair-wise comparison of the alternatives in the model Younis Al-Zibaree & Konur, 2023) and subjective methods where weighted coefficients are calculated based on data defined by the decision maker (Milićević & Župac, 2012a;Pamučar et al, 2018;Žižović et al, 2019, 2020aJafarzadeh Ghoushchi & Sarvi, 2023;Nezhad et al, 2023).…”