WEBIRA - Comparative Analysis of Weight Balancing Method

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

doi:10.15837/ijccc.2017.2.2844

Cited by 21 publications

(14 citation statements)

References 21 publications

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“…In this paper correlation analysis is applied to the solution of this problem. Therefore, a group of the methods given in Krylovas et al [21] is referred to as WEBIRA (WEight Balancing Indicator Ranks Accordance).…”

Section: General Description Of Webira Methodsmentioning

confidence: 99%

“…The advantage of WEBIRA is that its efficiency does not decrease with increasing number of alternatives as other MCDM methods [22]. It also remains stable with increasing number of criteria [21].…”

Section: Introductionmentioning

confidence: 98%

“…KEMIRA [20] is the MCDM method implemented by maximising compatibility of two or more subsets of criteria, thus it is naturally appropriate for solving our task. In this research, a modification of KEMIRA called WEBIRA [21] has been applied to the case of two groups of evaluation criteria. The advantage of WEBIRA is that its efficiency does not decrease with increasing number of alternatives as other MCDM methods [22].…”

Section: Introductionmentioning

confidence: 99%

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Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

et al. 2019

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New solutions and techniques for developing country policies are used under real conditions. The present study aims to propose a new approach for evaluating and ranking the European countries by using the interrelation between two groups of criteria, associated with the Human Development Index (HDI) and the World Internal Security and Police Index (WISPI). HDI and its components rank countries by value and detail the values of the components of longevity, education and income per capita. WISPI focuses on the effective rendering of security services and the outcome of rendered services. The priority of criteria is determined in the descending order of their correlation values with other group criteria. The criteria weights are set simultaneously for both groups by applying the weight balancing method WEBIRA. The methodology based on minimising sum of squared differences of the weighted sums within groups is used. Finally, the generalised criteria measuring the level of the country are calculated using the SAW method. Cluster analysis of the countries was carried out and compared with MCDM results. The study revealed that WEBIRA ranking of countries is basically consistent with the results of cluster analysis. The proposed methodology can be applied to develop the management policy of the countries, as well as to their evaluation and ranking by using various indices, criteria and procedures. The results of this research can also be used to reveal national policy choices, to point out government policy priorities.

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Section: General Description Of Webira Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

et al. 2019

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“…However, this research hasn't the goal to calculate accurately averages of statistical estimates. The purpose is to compare efficiency of 5…”

Section: General Research Schemementioning

confidence: 99%

Statistical Analysis of MCDM Data Normalization Methods Using Monte Carlo Approach. The Case of Ternary Estimates Matrix

Kosareva¹,

Krylovas²,

Zavadskas³

2018

ECECSR

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One of the most important stages of solving MCDM problems is normalization of initial decision-making matrix. The impact of 5 widely used normalization methods on the best alternative determination accuracy in the case of ternary estimates decision matrix is analysed in the article. Alternatives ranked by applying SAW method. Monte Carlo procedure was conducted fordata matrices of different dimensions and both optimization directions. Two cases-the more and the less separable alternatives-were analysed.None of the 5 methods were the best or the worst in all cases. Nevertheless, Minmax method inmost cases is significantly better than other. The Log method is the worst in some cases, but it is the best (or one of the best) in other cases.The highest values of the best alternative detection accuracy were accompanied by the lowest standard deviations of experiment results, respectively, the lowest valuesby the highest standard deviations.

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“…Uncertainty plays a significant role in some fields since it is the foundation and prerequisite to quantitatively study the questions [ 3 , 23 , 24 , 25 ]. Shannon entropy has basically resolved the uncertainty of probability theory [ 26 ], which is widely used in many application systems [ 27 , 28 , 29 ]. Inspired by ideas, many scientists are devoted to studying uncertainty of belief function [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function

Pan

Deng

2018

Entropy

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How to measure the uncertainty of the basic probability assignment (BPA) function is an open issue in Dempster–Shafer (D–S) theory. The main work of this paper is to propose a new belief entropy, which is mainly used to measure the uncertainty of BPA. The proposed belief entropy is based on Deng entropy and probability interval consisting of lower and upper probabilities. In addition, under certain conditions, it can be transformed into Shannon entropy. Numerical examples are used to illustrate the efficiency of the new belief entropy in measurement uncertainty.

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WEBIRA - Comparative Analysis of Weight Balancing Method

Cited by 21 publications

References 21 publications

Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

Comparative Evaluation and Ranking of the European Countries Based on the Interdependence between Human Development and Internal Security Indicators

Statistical Analysis of MCDM Data Normalization Methods Using Monte Carlo Approach. The Case of Ternary Estimates Matrix

A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function

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