VoteGrid: A mobile ballot system for decision making in grid environment

Sivagami, V. M.; Revathi, Nemallapudi; Sumathi, D.

doi:10.1016/j.procs.2010.12.049

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…In the industrial engineering discipline, decision making plays a key role in properly managing complex social, economic, and engineering systems such as group decision support (Beruvides, 1995), product development partner selection (Büyüközkan and Güleryüz, 2016), and ballot system design (Sivagami et al, 2011). Group decision-making (GDM) (Arrow, 1950;Fishburn, 1970) is the process of aggregating multiple decision-makers' (DMs') preferences over different alternatives into a compromised collective preference order for an entire group according to some rules (Hwang and Lin, 2012).…”

Section: Introductionmentioning

confidence: 99%

Consensus decision models for preferential voting with abstentions

Gong

Zhang

et al. 2018

Computers & Industrial Engineering

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Highlights  A DEA model is proposed for preferential voting with abstentions. Raw votes are expressed as intervals with the width characterizing uncertain votes.  The DEA model does not consider the influence of a moderator. Another model incorporates the influence of a moderator on uncertain votes.  Economic significance is investigated for the second model and its dual models. AbstractProper use of the data envelopment analysis (DEA) for aggregating preferential rankings helps improve efficiency of a voting system. It has been observed that many recent elections often have low turnouts, a large number of abstentions and invalid ballots. If these voters can be influenced to cast their votes for or against a candidate, it is understandable that the voting result can be quite different. The purpose of this research is to incorporate abstentions into preferential voting models. To this end, we first introduce a preferential voting DEA model with abstentions, in which the raw votes are expressed as interval values and the width of the interval characterizes the number of uncertain votes, the objective function is to maximize a candidate's weighted voting score, and the constraints put restrictions on the place weights to ensure a proper importance order of different places. Secondly, given the fact that opinion leaders often employ different means such as social media and advertisement to influence voters in real-world elections, we explicitly incorporate these opinion leaders/brokers as a moderator into a preferential voting model with abstentions and introduce a moderator-involved-consensus preferential voting (MICPV) model. This model aims to capture the moderator's influences on the uncertain voters from a consensus perspective. The optimal allocation of all uncertain votes allows the moderator to maximize his/her influence over the voters to achieve the minimum deviation between his/her expected and the aggregate scores of the candidates. At the optimality, for those candidates where a complete consensus is achievable, the model identifies the optimal allocation scheme. We also analyze the economic significance of the MICPV model.

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