InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis: Trend Analysis

Atanassova, Vassia; Doukovska, Lyubka; Karastoyanov, Dimitar; Čapkovič, František

doi:10.1007/978-3-319-11313-5_10

Cited by 16 publications

(5 citation statements)

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“…The ICA is applied with the aim to more profoundly understand the nature of the criteria involved and discover on this basis existing correlations between the criteria themselves. The theory of ICA has been presented in details in [4], and in [9][10][11][12] it was further discussed and developed.…”

Section: Introductionmentioning

confidence: 99%

InterCriteria Analysis of ACO and GA Hybrid Algorithms

Roeva

Fidanova

Paprzycki³

2015

Studies in Computational Intelligence

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In this paper, the recently proposed approach for multicriteria decision making-InterCriteria Analysis (ICA)-is presented. The approach is based on the apparatus of the index matrices and the intuitionistic fuzzy sets. The idea of InterCriteria Analysis is applied to establish the relations and dependencies of considered parameters based on different criteria referred to various metaheuristic algorithms. A hybrid scheme using Genetic Algorithm (GA) and Ant Colony Optimization (ACO) is used for parameter identification of E. coli MC4110 fed-batch cultivation process model. In the hybrid GA-ACO, the GA is used to find feasible solutions to the considered optimization problem. Further ACO exploits the information gathered by GA. This process obtains a solution, which is at least as good as-but usually better than-the best solution devised by GA. Moreover, a comparison with both the conventional GA and ACO identification results is presented. Based on ICA the obtained results are examined and conclusions about existing relations and dependencies between model parameters of the E. coli process and algorithms parameters and outcomes, such as number of individuals, number of generations, value of the objective function and computational time, are discussed.

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Section: Introductionmentioning

confidence: 99%

InterCriteria Analysis of ACO and GA Hybrid Algorithms

Roeva

Fidanova

Paprzycki³

2015

Studies in Computational Intelligence

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“…The theoretical investigations for ICA are published in [2,11,13,21]. The series of papers present the applications of the ICA in the different fields of science: universities rankings [12,14], neural networks preprocessing procedure [19], genetic algorithms [1], economic investigations [8][9][10], medical investigations [22], chemistry applications [20] and etc. In our work for applying ICA to HRST data, we have been interested to detect the eventual correlations between the education inflow data in 35 countries.…”

Section: Application Of Intercriteria Analysis Over Human Resources In Science and Technologymentioning

confidence: 99%

InterCriteria Analysis applied to human resources in science and technology

Rusev¹,

Bureva²

2019

NIFS

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“…Hence, the belongingness of the elements (countries) to the set depends on their performance according to the criteria within the predefined limits, which is a substancial difference from working with a set of fixed elements, which belongingness does not depend on their performance, as in the case of analyzing the relations between the pillars of competitivess of EU28 member states, see e.g. [7,9,10].…”

Section: Presentation Of the Input Datamentioning

confidence: 99%

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

Atanassova¹,

Doukovska²,

Krawczak³

2018

NIFS

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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.

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InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis: Trend Analysis

Cited by 16 publications

References 5 publications

InterCriteria Analysis of ACO and GA Hybrid Algorithms

InterCriteria Analysis of ACO and GA Hybrid Algorithms

InterCriteria Analysis applied to human resources in science and technology

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

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