Intercriteria analysis applied to university ranking system of Turkey

Abstract

In the current investigation, an application of the InterCriteria Analysis over a daaset of university rankings of Turkey is discused. InterCriteria Analysis is used to deremine possible dependencies or independencies between indicators used for universities evaluation. The comparison of the results is presented. The obtained results can be helpful for improvement of the universities estimation process using the appropriate parameters.

Investigation of the Turkish university rankings using InterCriteria Analysis

“…The received results are presented in the intuitionistic fuzzy triangle (Figure 1). They are compared with the results from previous investigation, published in [10]. The behavior of the indicators is constant in time with small exceptions.…”

“…The analysis is performed using IcrAData software [11]. The investigation is a continuation of the applications of the ICA for years 2019-2020 and 2020-2021 [10]. The result of ICA application for 2021-2022 are presented in Table 1.…”

An application of the InterCriteria Analysis and clusterization approach over a burnout dataset

“…The method of InterCriteria Analysis (ICA) is based on intuitionistic fuzzy sets, thus rendering account of the effects of uncertainty. Originally, ICA was being proposed in [2], and various aspects of its application over different data are given [6,13]. The ICA method is applied over а table with 25 rows (for the parameters describing the profile of the respondents) and 6 columns (for medical facilities).…”

How to Optimize the Experimental Protocol for Surface EMG Signal Measurements Using the InterCriteria Decision-Making Approach

“…A sufficiently high consonance degree is assumed as a possible indicator for elimination [21,22]. The opportunity that ICrA provides has been used to find reliable solutions for different tasks [23][24][25] and in various scientific fields [26][27][28][29].…”