Consensus decision models for preferential voting with abstentions. (January 2018)
- Record Type:
- Journal Article
- Title:
- Consensus decision models for preferential voting with abstentions. (January 2018)
- Main Title:
- Consensus decision models for preferential voting with abstentions
- Authors:
- Gong, Zaiwu
Zhang, Ning
Li, Kevin W.
Martínez, Luis
Zhao, Wei - Abstract:
- 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. Abstract: Proper 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 opinionHighlights: 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. Abstract: Proper 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. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 115(2018)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 115(2018)
- Issue Display:
- Volume 115, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 115
- Issue:
- 2018
- Issue Sort Value:
- 2018-0115-2018-0000
- Page Start:
- 670
- Page End:
- 682
- Publication Date:
- 2018-01
- Subjects:
- Group decision making -- Consensus -- Preferential voting -- Data envelopment analysis (DEA)
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2017.12.007 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14536.xml