The majority principle in TDOA estimation

2010 ◽  
Author(s):  
Raul Ionel ◽  
Sabin Ionel
Keyword(s):  
Majority Principle

Computer simulations of voting systems

2000 ◽  
Vol 03 (01n04) ◽  
pp. 181-194 ◽  
Author(s):  
Dominique Lepelley ◽  
Ahmed Louichi ◽  
Fabrice Valognes
Keyword(s):  
Monte Carlo ◽  
Computer Simulations ◽  
Monte Carlo Methods ◽  
Scoring Rules ◽  
Voting Systems ◽  
Voting Rules ◽  
Asymptotic Case ◽  
Majority Principle ◽  
Voting Procedures ◽  
Democratic Principles

All voting procedures are susceptible to give rise, if not to paradoxes, at least to violations of some democratic principles. In this paper, we evaluate and compare the propensity of various voting rules -belonging to the class of scoring rules- to satisfy two versions of the majority principle. We consider the asymptotic case where the numbers of voters tends to infinity and, for each rule, we study with the help of Monte Carlo methods how this propensity varies as a function of the number of candidates.

scholarly journals Ceteris paribus majority for social ranking

2018 ◽  
Author(s):  
Adrian Haret ◽  
Hossein Khani ◽  
Stefano Moretti ◽  
Meltem Öztürk
Keyword(s):  
Social Choice ◽  
Choice Theory ◽  
Social Choice Theory ◽  
Social Ranking ◽  
Ceteris Paribus ◽  
Majority Principle ◽  
Single Peakedness

We study the problem of finding a social ranking over individuals given a ranking over coalitions formed by them. We investigate the use of a ceteris paribus majority principle as a social ranking solution inspired from the classical axioms of social choice theory. Faced with a Condorcet-like paradox, we analyze the consequences of restricting the domain according to an adapted version of single-peakedness. We conclude with a discussion on different interpretations of incompleteness of the ranking over coalitions and its exploitation for defining new social rankings, providing a new rule as an example.

The Decentering of Democracies

2011 ◽  
Author(s):  
Pierre Rosanvallon
Keyword(s):  
Great Majority ◽  
Political Obligation ◽  
Democratic Politics ◽  
Majority Principle ◽  
History Of ◽  
The Law ◽  
The Difference ◽  
Democratic Elections

This introductory chapter considers the definitions of legitimacy in the context of democratic politics. Expressions such as the “great majority” or “vast majority” established the law of numbers, in contrast to the minority rule characteristic of despotic and aristocratic regimes. At first, it was the difference in the origins of power and the foundation of political obligation that was crucial. Later, the majority principle came to be recognized in a more narrowly procedural sense. The chapter traces this evolution within the history of democratic elections, positing a decentering of democracy as newer forms of political investment emerge, making democratic politics into something more than merely electing representatives.

scholarly journals Aggregation of importance measures for decision making in reliability engineering

2017 ◽  
Vol 231 (3) ◽  
pp. 242-254 ◽  
Author(s):  
Michele Compare ◽  
Michele Bellora ◽  
Enrico Zio
Keyword(s):  
Water System ◽  
Feed Water ◽  
Pressurized Water Reactor ◽  
Reliability Engineering ◽  
Pressurized Water ◽  
Component Importance ◽  
Majority Principle ◽  
Maintenance Decisions ◽  
Ranking Aggregation

This article investigates the aggregation of rankings based on component importance measures to provide the decision maker with a guidance for design or maintenance decisions. In particular, ranking aggregation algorithms of the literature are considered, a procedure for ensuring that the aggregated ranking is compliant with the Condorcet criterion of majority principle is presented and two original ranking aggregation approaches are proposed. Comparisons are made on a case study of an auxiliary feed-water system of a nuclear pressurized water reactor.

The Majority Principle: Calhoun and His Antecedents

1969 ◽  
Vol 84 (4) ◽  
pp. 583 ◽  
Author(s):  
George Kateb
Keyword(s):  
Majority Principle

scholarly journals A discrete-continuous stochastic model functioning of analysis system, generalization and implementation of experience in the use of troops (armed forces)

2021 ◽  
pp. 64-72
Author(s):  
Volodymyr Hrabchak ◽  
Yuriy Salnyk ◽  
Bohdan Volochiy
Keyword(s):  
Stochastic Model ◽  
Mathematical Models ◽  
Performance Indicators ◽  
Performance Indicator ◽  
Armed Forces ◽  
Combat Experience ◽  
Combat Training ◽  
A Value ◽  
Majority Principle ◽  
Analysis System

In article presented theoretic generalization practical efficiency issues training and deployment of troops (armed forces) by improving the analysis system, generalization and implementation of combat experience (ASGIE) and an actual scientific problem was solved in a new way, consisting in the improvement of the scientific and methodological apparatus of its functioning. Performed analysis mathematical models for descriptions and assessment functioning system of training and use of troops (armed forces). In the same time, the results of researches in exercises and other activities of operational, combat training and daily activities of troops (armed forces) showed the absence of effective mathematical models for the functioning of ASGIE of troops (armed forces). The constituents for each of the three performance indicators have been substantiated and determined, which reproduce the corresponding reactions of the ASGIE to obtain a generalized experience. The connection of these constituents with the requirements for the mathematical model of the reaction of the ASGIE is shown. A discrete-continuous stochastic model of the ASGIE reaction has been developed to study the effectiveness of a promising ASGIE for various options for its implementation. A system of Kolmogorov-Chapman differential equations of the first order has been formed, the solution of which gives the opportunity to get the value of performance indicators ASGIE. Calculations performed for ASGI which includes the governing bodies of three military units and three OC with decision-making on the generalization of experience for the majority principle "2 with 3" show: acceptable values of the performance indicator "Experience is generalized" are achieved when the values of the probability of identifying experience and the probability of successful generalization of experience by the management body are greater than 0.9; with the values of the probability of experience identification and the probability of successful generalization of experience by the governing bodies in the range from 0.4 to 0.7 with a probability of not less than 0.7, it will be necessary to continue to accumulate generalized experience in order to make a decision on its dissemination; accordingly, a value in the range from 0.2 to 0.6 is unacceptable for organizing the process of generalizing experience for the developed ASGI.

scholarly journals IMPROVEMENT OF FIDELITY OF MOVING OBJECTS CLASSIFICATION IN GUARD SIGNALING COMPLEXES WITH SEISMIC SENSORS

2018 ◽  
Vol 8 (4) ◽  
pp. 36-39 ◽  
Author(s):  
Bohdan Volochiy ◽  
Mykhailo Zmysnyi ◽  
Leonid Ozirkovskyy ◽  
Volodomyr Onyschchenko ◽  
Yuriy Salnyk
Keyword(s):  
Performance Indicators ◽  
Moving Objects ◽  
Radio Signal ◽  
Moving Object ◽  
Control Zone ◽  
Majority Principle ◽  
Seismic Sensors ◽  
Probability Of Fixation ◽  
Partial Fulfillment

The effectiveness of guard signaling complexes (GSC), when there is an important validity of the classification of moving objects (MO), is evaluated by the following indexes: probability of GSC task execution; probability of partial fulfillment of the task; probability of user’s “deception”. Accordingly, the performance indicators of the GSC, in turn, depend on the indexes of the functionality of its constituents: probability of fixation of moving object by seismic sensor, probability of correct classification of MO type and probability of receiving radio signal by the system of receiving and displaying information (SRDI). The article describes a discrete-continuous stochastic model of of GSC reaction to moving object crossing control zone, in which three seismic sensors are installed. Majority principle of identifying the type of moving object was used on the receiving part of the complex. A comparative analysis of the effectiveness of guard signaling complexes using one, two and three sensors in control zone are carried out.

scholarly journals Structural redundancy as robustness assurance of complex geoengineering systems

2020 ◽  
Vol 166 ◽  
pp. 11003
Author(s):  
Alina Dychko ◽  
Igor Yeremeyev ◽  
Natalya Remez ◽  
Serhii Kraychuk ◽  
Natalia Ostapchuk
Keyword(s):  
Real Data ◽  
Byzantine Agreement ◽  
Monitoring Data ◽  
Normal Reaction ◽  
Structural Redundancy ◽  
Majority Principle ◽  
Input Signals ◽  
Computer Aided ◽  
Complex Computer

The present paper provides that robustness is the facility of complex computer-aided geoengineering systems of keeping its feature invariable along the certain period of time. The detecting of indications which testify that system is not responding adequately to input disturbances may be realized by: comparing real data on assembly output with number of reference artefacts which correspond to specific states of disturbances; comparing real data on assembly output with a normal reaction to the actual set of input signals. To increase the resilience of monitoring data of geoengineering system the majority principle and the Byzantine agreement method are used.

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