Entropy–KEMIRA Approach for MCDM Problem Solution in Human Resources Selection Task

Krylovas, Aleksandras; Dadelo, Stanislavas; Kosareva, Natalja; Zavadskas, Edmundas Kazimieras

doi:10.1142/s0219622017500274

Cited by 36 publications

(18 citation statements)

References 37 publications

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“…Descriptions of different methods for finding weight coefficients can be found in the following papers: (Zavadskas and Podvezko, 2016;Krylovas et al, 2017;Keshavarz Ghorabaee et al, 2016).…”

Section: Alternativesmentioning

confidence: 99%

A New Method of Multi-Criteria Analysis for Evaluation and Decision Making by Dominant Criterion

Žižović¹,

Albijanić²,

Jovanović³

et al. 2019

Informatica

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This paper introduces a new method for multi-criteria analyses where the failure to meet the dominant criterion of an alternative causes low values for the entire alternative. In this method, the introduction of new alternatives into the multi-criteria model does not affect the existing alternatives in the model. The new method was applied for the rating of ten websites of dental clinics in Serbia, which provide prosthetic services to tourists. The dominant criterion was the amount of information provided by the site.

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Section: Alternativesmentioning

confidence: 99%

A New Method of Multi-Criteria Analysis for Evaluation and Decision Making by Dominant Criterion

Žižović¹,

Albijanić²,

Jovanović³

et al. 2019

Informatica

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“…Considering the ratings in the study are in the linguistic form, the intuitionistic fuzzy set is applied to model the linguistic ratings more comprehensively. In order to discriminate the experts and indicator, the entropy, which is proposed to measure the discriminatory power in decision making [ 40 , 41 , 42 , 43 , 44 , 45 ], is used. Entropy and intuitionistic fuzzy sets are reviewed briefly as follows [ 40 , 41 , 46 , 47 , 48 , 49 , 50 ].…”

Section: Entropy and Intuitionistic Fuzzy Setsmentioning

confidence: 99%

Evaluation of Sustainability Information Disclosure Based on Entropy

Wang

Liu

et al. 2018

Entropy

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Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided.

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“…Most research related to the separate dimensions of HDI-public health, economic development, and quality of life. The most commonly used methods are various tools of mathematical statistics, i.e., correlation, regression analysis, and some econometric models [13].…”

Section: Introductionmentioning

confidence: 99%

European Countries Ranking and Clustering Solution by Children’s Physical Activity and Human Development Index Using Entropy-Based Methods

2020

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The aim of the present study is to propose a new approach for evaluating and comparing European countries using indicators of the children physical activity and the human development index. The Global Matrix 3.0 on physical activity for children and youth and human development index data on the 18 European countries were used. MADM (multi-attribute decision making) approach was applied for this task. The criteria weights calculated by applying the weight balancing method—weight balancing indicator ranks accordance (WEBIRA). New methodology of interval entropy is proposed for determining the priority of criteria separately in each group. The novel approach of α-cuts for recursive procedure of ranking the alternatives was used. For comparison, three alternative entropy-based methods—entropy method for determining the criterion weight (EMDCW), method of criteria impact LOSs and determination of objective weights (CILOS) and integrated determination of objective criteria weights (IDOCRIW) were applied to address this MADM problem. Cluster analysis of European countries carried out using results obtained by all above methods. Comparison of the MADM methods revealed that three alternative methods assigned negligible values to whole group of criteria. Meanwhile, WEBIRA family methods performed the ranking of European countries according to the interrelation of the two groups of criteria in a balanced way. Thus, when addressing MADM tasks with two or more naturally related sets of criteria, it is appropriate to apply criteria adapted for that purpose, such as WEBIRA.

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Entropy–KEMIRA Approach for MCDM Problem Solution in Human Resources Selection Task

Cited by 36 publications

References 37 publications

A New Method of Multi-Criteria Analysis for Evaluation and Decision Making by Dominant Criterion

A New Method of Multi-Criteria Analysis for Evaluation and Decision Making by Dominant Criterion

Evaluation of Sustainability Information Disclosure Based on Entropy

European Countries Ranking and Clustering Solution by Children’s Physical Activity and Human Development Index Using Entropy-Based Methods

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