2022
DOI: 10.1007/s00500-022-06763-z
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Distance education tool selection using novel spherical fuzzy AHP EDAS

Abstract: COVID 19 pandemic, which entered our lives suddenly, caused the change of our classical education system and forced higher education institutions to switch to distance education quickly. During this time, the need for a method that can comprehensively and scientifically evaluate the alternatives of videoconferencing tools to be used in distance education has emerged. This paper proposes a novel hybrid multi-criteria group decision-making (MCGDM) model by integrating the analytic hierarchy process (AHP) and the… Show more

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Cited by 41 publications
(15 citation statements)
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“…et al [ 40 ] proposed the extended Complex Proportional Assessment (COPRAS) under the PFSs environment, leading to the PF-COPRAS. In the middle of COVID pandemic, Menekşe and Camgöz Akdağ [ 41 ] proposed hybrid multi-criteria group decision-making based on the Analytic Hierarchy Process (AHP), the distance from average solution and spherical fuzzy sets for evaluating videoconferencing platforms. Their results suggest that Zoom was the most suitable platform for distance education during COVID pandemic.…”
Section: Literature Reviewmentioning
confidence: 99%
“…et al [ 40 ] proposed the extended Complex Proportional Assessment (COPRAS) under the PFSs environment, leading to the PF-COPRAS. In the middle of COVID pandemic, Menekşe and Camgöz Akdağ [ 41 ] proposed hybrid multi-criteria group decision-making based on the Analytic Hierarchy Process (AHP), the distance from average solution and spherical fuzzy sets for evaluating videoconferencing platforms. Their results suggest that Zoom was the most suitable platform for distance education during COVID pandemic.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In this section, we discuss about definitions and some fundamental properties and operations of SFS and SFN based on the past work [28,31,32,[87][88][89].…”
Section: Preliminariesmentioning
confidence: 99%
“…SFS is an advanced extension of neutrosophic fuzzy sets [29] and type 2 IFS [30]. SFS provides a number of advantages [31,32] such as (i) Unlike IFS, it considers the sum of membership and non-membership degrees greater than 1. (ii) In contrast to PyFS, it considers the degree of hesitancy.…”
Section: Introductionmentioning
confidence: 99%
“…The present section exhibits some preliminary definitions, properties, and operations of SFS as developed by several researchers Kahraman, 2019a, 2019b;Ashraf et al, 2019aAshraf et al, , 2019bAli, 2021;Kovač et al, 2021;Menekşe and Camgöz Akdağ, 2022) Definition 1. SFS is defined as…”
Section: Preliminariesmentioning
confidence: 99%