scholarly journals Preference Integration and Optimization of Multistage Weighted Voting System Based on Ordinal Preference

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Yu-ke Chen ◽  
Yan Zou ◽  
Zhe Chen
Keyword(s):  
Individual Preference ◽  
Information Aggregation ◽  
Voting Rules ◽  
Weighted Voting ◽  
Group Preference ◽  
Aggregation Model ◽  
Individual Preferences ◽  
Weighted Voting System ◽  
Voting System ◽  
Ordinal Preference

Multistage voting is a common voting form through which the winners are selected. By virtue of weighted multistage voting rules, in this paper, we establish a weighted voting model by analyzing the correlation between individual preference and group preference. The weights of voters in each voting stage are adjusted through preference deviation degrees between individual preferences and group preference, and the ranking among candidates in each stage is determined according to weighted Borda function value. Examples are given to verify our model, which shows that weighted information aggregation model can mine more useful information from different individual preferences of voters to quicken the aggregation of group preference.

Preference–Approval Structures in Group Decision Making: Axiomatic Distance and Aggregation

2021 ◽  
Author(s):  
Yucheng Dong ◽  
Yao Li ◽  
Ying He ◽  
Xia Chen
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Distance Function ◽  
Group Decision ◽  
Simple Majority ◽  
Simulation Experiments ◽  
Group Preference ◽  
Aggregation Model ◽  
Modeling Process ◽  
Ordinal Preference

Preference–approval structure combines the preference information of both ranking and approval, which extends the ordinal preference model by incorporating two categories of choice alternatives, that is, acceptable (good) and unacceptable (bad), in the preference modeling process. In this study, we present some axioms that imply the existence of a unique distance function of preference–approval structures. Based on theoretical analysis and simulation experiments, we further study a preferences aggregation model in the group decision-making context based on the proposed axiomatic distance function. In this model, the group preference is defined as a preference–approval structure that minimizes the sum of its distances to all preference–approval structures of individuals in the group under consideration. Particularly, we show that the group preference defined by the axiomatic distance–based aggregation model has close relationships with the simple majority rule and Cook and Seiford’s ranking.

Evaluation of the Distribution of Power in a Weighted Voting System

1980 ◽  
Vol 7 (7) ◽  
pp. 23-33 ◽  
Author(s):  
Yutaka Sayeki ◽  
Yoshinori Tomiyama ◽  
Mikio Tanaka
Keyword(s):  
Weighted Voting ◽  
Weighted Voting System ◽  
Voting System ◽  
Distribution Of Power

scholarly journals Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Zhi Zheng ◽  
Youying Chen ◽  
Liping Chen ◽  
Gongde Guo ◽  
Yongxian Fan ◽  
...  
Keyword(s):  
Signal Peptide ◽  
New Drugs ◽  
Weighted Voting ◽  
Weighted Voting System ◽  
System Experiment ◽  
Voting System ◽  
High Prediction ◽  
Sorting System ◽  
Zip Code ◽  
New Protein

A signal peptide is a short peptide chain that directs the transport of a protein and has become the crucial vehicle in finding new drugs or reprogramming cells for gene therapy. As the avalanche of new protein sequences generated in the postgenomic era, the challenge of identifying new signal sequences has become even more urgent and critical in biomedical engineering. In this paper, we propose a novel predictor called Signal-BNF to predict the N-terminal signal peptide as well as its cleavage site based on Bayesian reasoning network. Signal-BNF is formed by fusing the results of different Bayesian classifiers which used different feature datasets as its input through weighted voting system. Experiment results show that Signal-BNF is superior to the popular online predictors such as Signal-3L and PrediSi. Signal-BNF is featured by high prediction accuracy that may serve as a useful tool for further investigating many unclear details regarding the molecular mechanism of the zip code protein-sorting system in cells.

Proportional quota weighted voting system hierarchies

2009 ◽  
Vol 34 (3) ◽  
pp. 397-410 ◽  
Author(s):  
Dwight R. Bean ◽  
Jane Friedman ◽  
Cameron Parker
Keyword(s):  
Weighted Voting ◽  
Weighted Voting System ◽  
Voting System
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