MCDM approach for weighted ranking of candidates in e-voting

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.

Predictors for the adoption of e-democracy: an empirical evaluation based on a citizen-centric approach

“…The main goal of e-democracy is to empower citizens to engage in public consultations by utilizing new technologies for policymaking. In addition, governments attempt to enhance the democratic process when they use e-voting as a technology to increase the participation of citizens in the election processes (Alguliyev et al, 2019;Alomari, 2016). E-democracy is capable of revoking the distrust that is likely to develop between governments and citizens (Mishra, 2019;Ayo et al, 2015).…”

“…The concept of e-democracy has emerged as a new form of democratic practice that allows political parties and democratic actors within a society to present their programs and ideas and communicate via the internet, mobile technologies and social media platforms (Lindner and Aichholzer, 2020;Oni et al, 2017;Ayo et al, 2015). The concept also includes electronic voting (Alguliyev et al, 2019;Shat and Pimenidis, 2017;Nchise, 2012), and e-democracy enables political forces to have a mass media presence by using the internet, which is difficult to achieve using traditional media forms. For example, Barack Obama's use of ICT in his presidential campaign demonstrated a growing interest in the concept (Obama, 2009).…”

Implementing a multi-criteria decision-making approach to a new party's election campaign – A case study

“…However, it is rarely used in issues referring to elections or political campaign. A unique example of implementing MCDM to analyze the problem of selecting candidates in E-voting is found in [13] .…”

Two-stage weighted PROMETHEE II with results’ visualization

“…The decision problems may comprise various goals: to find the best alternative, to separate the alternatives into groups such as acceptable and unacceptable alternatives or good/bad; dominated and non-dominated, to find the clusters with similar or indifferent alternatives, or to create an order of alternatives (Ishizaka and Nemery 2013 ). The ranking may cover countries or regions (Ghasemi et al 2021 ; Stankovic et al 2021 ; Roszkowska and Filipowicz-Chomko 2020 ; Ulutaş and Karaköy 2019 ; Kuncova and Seknickova 2018 ; Kramulova and Jablonsky 2016 ; Latuszynska 2014 ; Kuncova and Doucek 2011 ; Dincer 2011 ), universities (Wu et al 2012 ), institutions as banks, start-up or public benefit organizations (Beheshtinia and Omidi 2017 ; Górecka and Chojnacka 2017 ; Nikoloudis et al 2017 ), renewable energy resources, energy pathways or energy technologies (Seknickova and Jablonsky 2020 ; Lee and Chang 2018 ; Schröder et al 2019 ; Regös 2013 ), materials or machines (Karande et al 2016 ; Chatterjee and Chakraborty 2012 ), product (Turcksin et al 2011 ), websites (Shayganmehr and Montazer 2021 ), people (Alguliyev et al 2019 ) and others.…”