Evaluating public transport service quality using picture fuzzy analytic hierarchy process and linear assignment model
Group decision-making on a public service problem is often biased by untrustworthy
responses of the participants, which affects negatively the outcome of the procedure. To …
responses of the participants, which affects negatively the outcome of the procedure. To …
Some q-rung orthopair fuzzy Hamacher aggregation operators and their application to multiple attribute group decision making with modified EDAS method
To provide a larger space for decision makers, q-rung orthopair fuzzy sets (q-ROFS) can
express their uncertain information. As a generalization of the algebraic operations, and the …
express their uncertain information. As a generalization of the algebraic operations, and the …
A survey on recent applications of pythagorean fuzzy sets: A state-of-the-art between 2013 and 2020
Pythagorean fuzzy sets (PFSs) have attracted the attention of researchers in recent years as
it is very useful in modeling uncertain information. The main aim of this study is to conduct a …
it is very useful in modeling uncertain information. The main aim of this study is to conduct a …
Interval-valued pythagorean fuzzy power average-based MULTIMOORA method for multi-criteria decision-making
In the multi-criteria decision-making (MCDM), multi-objective optimisation by ratio analysis
(MOORA) plus the full multiplicative form (MULTIMOORA) are a useful method, which has …
(MOORA) plus the full multiplicative form (MULTIMOORA) are a useful method, which has …
Pythagorean fuzzy linear programming technique for multidimensional analysis of preference using a squared-distance-based approach for multiple criteria decision …
TY Chen - Expert Systems with Applications, 2021 - Elsevier
Pythagorean fuzzy (PF) sets involving Pythagorean membership grades can befittingly
manipulate inexact and equivocal information in real-life problems involving multiple criteria …
manipulate inexact and equivocal information in real-life problems involving multiple criteria …
Passenger satisfaction evaluation of public transportation using pythagorean fuzzy MULTIMOORA method under large group environment
XH Li, L Huang, Q Li, HC Liu - Sustainability, 2020 - mdpi.com
Passenger satisfaction is an important factor that affects the choice of travel modes for
municipalities, especially in big cities. This evaluation is an important task for managers …
municipalities, especially in big cities. This evaluation is an important task for managers …
A novel spherical fuzzy bi-objective linear assignment method and its application to insurance options selection
SA Seyfi-Shishavan, F Kutlu Gündoğdu… - … Journal of Information …, 2021 - World Scientific
Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main
characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of …
characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of …
Spherical fuzzy analytic hierarchy process and linear assignment model based MCGDM method with its application in ranking of states for their business climate
Ranking of the states for business climate is often done by survey analysis and hence
prejudiced by untrustworthy and instable responses of the participants. In the present study …
prejudiced by untrustworthy and instable responses of the participants. In the present study …
Improving first Responders' effectiveness in post-disaster scenarios through a hybrid framework for damage assessment and prioritization
Disasters have long been a persistent challenge for humanity, causing extensive destruction
that often exceeds the capacity of local authorities to address effectively. The complexity of …
that often exceeds the capacity of local authorities to address effectively. The complexity of …
Spherical fuzzy linear assignment method for multiple criteria group decision-making problems
Y Donyatalab, SA Seyfi-Shishavan… - …, 2020 - content.iospress.com
Spherical fuzzy sets theory is useful and advantageous for handling uncertainty and
imprecision in multiple attribute decision-making problems by considering membership, non …
imprecision in multiple attribute decision-making problems by considering membership, non …