Intercriteria analysis of countries in transition from factor-driven to efficiency-driven economy

Abstract

The intuitionistic fuzzy sets-based method of InterCriteria Analysis is applied here to datasets retrieved from the World Economic Forum's Global Competitiveness Reports (GCRs) from years 2013-2014 to 2017-2018 containing global economies whose stage of development is in the transition from factor-driven to efficiency-driven economy. These data are analysed in search of correlations between the twelve pillars of competitiveness and certain findings are outlined and commented.

Evaluating the performance of catalyst and feedstocks in the fluid catalytic cracking process: Application of InterCriteria Analysis with weight coefficients of the objects

“…If the pairs have the sign "=" the degree of uncertainty is increased. Survey on the theory and applications of the ICrA is presented in [4,8]. The last extension of ICrA is called "InterCriteria Analysis with Weight Coefficients of Objects or Criteria" [6].…”

Investigation of the Turkish university rankings using InterCriteria Analysis

“…ICA determines the correlations by pairwise comparison to achieve possible relationships between different objects or criteria [3,6]. Different extensions of ICA are developed in the years [4,7,8,13]. ICA is successfully applied to analyze different correlations and opposite behaviors between the objects/criteria of the datasets in the area of genetic algorithms, medicine, crude oils, university rankings of different countries and etc., [9,12].…”

Intercriteria analysis applied to university ranking system of Turkey

“…The topic of ecology is discussed in [29]. Applications of the ICA over data of global competitiveness reports of the World Economic Forum are implemented in [9,11,12]. The ICA applications in the area of neural networks and genetic algorithms are presented in [21,22,[24][25][26].…”