Going from Theory to Practice: The Mixed Success of Approval Voting

Brams, Steven J.; Fishburn, Peter C.

doi:10.1007/978-3-642-02839-7_3

Cited by 33 publications

(25 citation statements)

References 36 publications

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Mentioning

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Order By: Relevance

“…The inclusion of thresholds and these types of rules is not a new proposal and has been validated in certain situations; for instance, one of the best known examples concerns the detection of falls [8]. Often, the simpler approach is better.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…In the latter case, PCA is independently performed for each fold; so different voting results are obtained. Finally, the approval-voting scheme is applied [8] by aggregating the votes from each fold, using the mean of the votes. The voting scheme is also applied to the results from each ballot, using the same weight.…”

Section: Human Activity Recognition Using Gffsmmentioning

confidence: 99%

See 1 more Smart Citation

A hybrid intelligent recognition system for the early detection of strokes

Villar

Chira

Sedano

et al. 2015

ICA

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Abstract. The increasing prevalence of wearable sensors and low-cost mobile devices have prompted the development of systems for automated diagnosis. Here we focus on models and algorithms for the early detection of strokes that are implanted in a wearable device that generates warning alarms and automatically connects to e-health services, ensuring timely interventions at the onset of a stroke. The proposed approach employs two wearable devices to monitor movement data that involve two main stages: Human Activity Recognition (HAR) and alarm generation. Two different HAR methods capable of classifying current human activity are developed and compared: one uses genetic fuzzy finite-state machines, and the other relies on Time Series (TS) analysis. Furthermore, an algorithm using Symbolic Aggregate approXimation (SAX) TS representation is proposed for alarm generation purposes, which is triggered by the detection of anomalous movements. The proposed methods are evaluated using realistic data gathered from healthy individuals. A discussion of topics related to the learning issues involved in these techniques is included. It is worth mentioning that the proposed algorithms can be easily transferred to embedded systems and can benefit from reduced learning costs.

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Section: Discussion Of Resultsmentioning

confidence: 99%

Section: Human Activity Recognition Using Gffsmmentioning

confidence: 99%

A hybrid intelligent recognition system for the early detection of strokes

Villar

Chira

Sedano

et al. 2015

ICA

View full text Add to dashboard Cite

show abstract

“…Many voters, however, are likely to select some middle ground, approving of two or three candidates in, say, a field of five (for empirical data on this question under AV, see Brams and Fishburn, 2005).…”

Section: Definitions and Assumptionsmentioning

confidence: 99%

Voting Systems that Combine Approval and Preference

Brams

Sanver

Studies in Choice and Welfare

Self Cite

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Information on the rankings and information on the approval of candidates in an election, though related, are fundamentally different-one cannot be derived from the other. Both kinds of information are important in the determination of social choices. We propose a way of combining them in two hybrid voting systems, preference approval voting (PAV) and fallback voting (FV), that satisfy several desirable properties, including monotonicity. Both systems may give different winners from standard ranking and nonranking voting systems. PAV, especially, encourages candidates to take coherent majoritarian positions, but it is more information-demanding than FV. PAV and FV are manipulable through voters' contracting or expanding their approval sets, but a 3-candidate dynamic poll model suggests that Condorcet winners, and candidates ranked first or second by the most voters if there is no Condorcet winner, will be favored, though not necessarily in equilibrium.

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“…Approval voting [104] is another popular Social Choice system, always used for elections. Under this mechanism, each voter is allowed to vote for as many of the alternatives as he/she wishes, and each voter may vote for any combination of alternatives and may give each alternative at most one vote.…”

Section: Decision Making With Preference Orderingmentioning

confidence: 99%

Ordering based decision making – A survey

et al. 2013

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A B S T R A C TDecision making is the crucial step in many real applications such as organization management, financial planning, products evaluation and recommendation. Rational decision making is to select an alternative from a set of different ones which has the best utility (i.e., maximally satisfies given criteria, objectives, or preferences). In many cases, decision making is to order alternatives and select one or a few among the top of the ranking. Orderings provide a natural and effective way for representing indeterminate situations which are pervasive in commonsense reasoning. Ordering based decision making is then to find the suitable method for evaluating candidates or ranking alternatives based on provided ordinal information and criteria, and this in many cases is to rank alternatives based on qualitative ordering information. In this paper, we discuss the importance and research aspects of ordering based decision making, and review the existing ordering based decision making theories and methods providing future research directions.

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Going from Theory to Practice: The Mixed Success of Approval Voting

Cited by 33 publications

References 36 publications

A hybrid intelligent recognition system for the early detection of strokes

A hybrid intelligent recognition system for the early detection of strokes

Voting Systems that Combine Approval and Preference

Ordering based decision making – A survey

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