MCDM approach for weighted ranking of candidates in e-voting
Open Access
- 30 December 2019
- journal article
- Published by Vilnius University Press in Informacijos mokslai
- Vol. 86, 8-22
- https://doi.org/10.15388/im.2019.86.23
Abstract
The aim of the study is the application of multi-criteria evaluation methods for ranking of candidates in e-voting. Due to the potential to enhance the electoral efficiency in e-voting multiple criteria, such as personality traits, activity and reputation in social media, opinion followers on election area and so on for the selection of qualified personnel can be considered. In this case, the number of criteria excesses in the decision-making stage directed us to the use of a multi-criteria decision making model (MCDM). This paper proposes MCDM for weighted ranking of candidates in e-voting. Criteria for the candidates’ ranking and selection are determined and each voter uses the linguistic scales for the ranking of each candidate. Candidates’ ranking is evaluated according to all criteria. In a numerical study, it is provided the candidates’ evaluation on the base of selected criteria and ranked according to the importance of criteria. To assess the importance of the criteria and to evaluate the suitability of the candidates for each of the criteria, the voters use linguistic variables. In practice, the proposed model can use different evaluation scales for the selection of candidates in e-voting. The proposed model allows selecting a candidate with the competencies based on the criteria set out in the e-voting process and making more effective decisions.Keywords
This publication has 21 references indexed in Scilit:
- E-Government Formation Challenges and Solution PerspectivesPublished by Taylor & Francis Ltd ,2019
- A new MCDM approach for ranking of candidates in voting systemsInternational Journal of Society Systems Science, 2019
- Measuring candidate selection mechanisms in European elections: Comparing formal party rules to candidate survey responsesEuropean Union Politics, 2017
- Personnel selection using group fuzzy AHP and SAW methodsJournal of Engineering Management and Competitiveness, 2017
- A Fuzzy TOPSIS+Worst-Case Model for Personnel Evaluation Using Information Culture CriteriaInternational Journal of Operations Research and Information Systems, 2016
- A review of E-voting: the past, present and futureAnnals of Telecommunications, 2016
- Election of Deputy Candidates for Nomination with AHP-Promethee MethodsProcedia - Social and Behavioral Sciences, 2015
- Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014Economic Research-Ekonomska Istraživanja, 2015
- A new method selection approach for fuzzy group multicriteria decision makingApplied Soft Computing, 2013
- A fuzzy hybrid MCDM approach for professional selectionExpert Systems with Applications, 2012