Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis
Soltanifar, Mehdi, Sharafi, Hamid, Hosseinzadeh Lotfi, Farhad
- 出版商: Springer
- 出版日期: 2024-05-21
- 售價: $6,950
- 貴賓價: 9.5 折 $6,603
- 語言: 英文
- 頁數: 185
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031304055
- ISBN-13: 9783031304057
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商品描述
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 bestresults 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 consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support.
This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming.
This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.
商品描述(中文翻譯)
本書介紹了與資料包絡分析和多屬性決策相關的模型的理論和應用,並建立了一種有意義的關係。在選舉制度中,「選擇」問題是決策者始終考慮的最重要的群體決策問題之一。投票是民主社會中群體決策的一種方法,它表達了多數人的意願。投票可能是收集專家意見的最簡單方式,這種應用的便利性使其成為群體決策中的多屬性決策方法。偏好投票是一種可能涉及選舉制度或選舉制度中的群體的投票類型。在偏好投票中,選民可以為多個候選人投票,候選人在選票上的排列方式很重要。研究人員做出了許多努力來提供選民集合的模型,其中一個最好的結果是基於資料包絡分析的投票集合。因此,在群體決策中,專家意見以簡單的結構獲得並以互動和邏輯結構整合,結果可以成為決策支持的有力工具。
本書提供了一套完整的基於資料包絡分析的投票模型,並介紹了其在工業和社會中的各種應用。然而,大多數決策方法不使用專家意見,或者減少專家參與複雜互動和時間的動機,而投票方法則沒有這個缺點。
本書適合工業管理、商業管理、工業工程、應用數學和經濟學等領域的研究生。它也可以成為決策科學、決策支持系統、資料包絡分析、供應鏈管理、醫療管理等領域的研究人員的良好資源。本書介紹的方法不僅可以為解決這些領域的問題提供全面的框架,還可以激發研究人員追求新的創新混合方法的靈感。