A New Perspective on Evaluation System in Education With Intuitionistic Fuzzy Logic and Promethee Algorithm

Abstract

This research attempts to seek for multi criteria decision making through the PROMETHEE method. This paper aims to propose an application of multi criteria decision making in intuitionistic fuzzy sets. The main goal of the paper; to establish a smart evaluation system in education with a multi criteria decision making approach using intuitionistic fuzzy logic and PROMETHEE method. The success ranking of schools was analyzed through the use of the PROMETHEE method. Besides, the most successful school was identified among these ranked schools. In this research, the intuitionistic fuzzy PROMETHEE method was employed during ranking of schools' success. The main reason for using intuitionistic fuzzy PROMETHEE is that it takes into account both intuitionistic fuzzy weights and intuitionistic fuzzy preferences at the same time. This paper applies to many fields; however, we proposed an application in the field of education in this study. The primary purpose of this paper is expected to create an algorithm of intuitionistic fuzzy PROMETHEE and offer an application example that will shed light on many application areas. Using multi-criteria decision-making methods together with intuitionistic fuzzy logic will help us obtain more rational and more objective results.

Evaluation of papers according to offset print quality: the intuitionistic fuzzy based multi criteria decision making mechanism

“…As a result of this comparison, a clear ranking can be obtained. The PROMETHEE method has attracted the attention of many researchers and has been applied in many areas (Albadvi, 2004; Albadvi et al , 2007; Behzadian et al ., 2010; Brans et al , 1984; Brans and Vincke, 1985; Brans and Mareschal, 2005; Tuğrul, 2021; Tuğrul and Çitil, 2021; Tuzkaya et al , 2016; Zhang et al , 2009).…”

An Evaluation of Supermarkets from the Lens of Multiple Criteria: The Intuitionistic Fuzzy TOPSIS Method

“…(Büyüközkan, 2004;Gorecka and Szałucka, 2013;Tosun, 2015;Ghorabaee et al, 2017). The intuitionistic fuzzy sets and MCDM methods were utilized by researchers in many decision making processes and applications, and very favorable results were obtained since the sensitivity makes sense (Çuvalcıoğlu, 2014;Tuğrul and Çitil, 2021;Sözeyatarlar et al, 2021;Yavuz and Şahin, 2022).…”

t-Lower level set and t-upper level set of an intuitionistic fuzzy set

“…Many researchers make studies with this definition. Some of them are G. C ¸uvalcıoglu [2], F. Tugrul, M. C ¸itil [6] and P. K. Sharma [5]. P. K. Sharma gave in that paper a classic set C α,β (A) = {x : x ∈ X such that µ A (x) ≥ α, ν A (x) ≤ β}, C(α, β)-cut of intuitionistic fuzzy set where α, β ∈ [0, 1] with α+β ≤ 1 by using intuitionistic fuzzy set definition and gave some properties of C α,β (A).…”