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Can I read Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis on EtoBox?

Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis by Mehdi Soltanifar, Hamid Sharafi, Farhad Hosseinzadeh Lotfi, Witold Pedrycz, Tofigh Allahviranloo is a nonfiction available to read on EtoBox.

What is Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis about?

This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidate

Who reads Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Mehdi Soltanifar, Hamid Sharafi, Farhad Hosseinzadeh Lotfi, Witold Pedrycz, Tofigh Allahviranloo
Publisher
Springer International Publishing AG
Published
2023
Language
EN
ISBN
9783031304033
Category
nonfiction
Subjects
Business, Computer Science, Engineering

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