首页    期刊浏览 2025年02月19日 星期三
登录注册

文章基本信息

  • 标题:Probabilistic Composition for Fast Group Decisions
  • 本地全文:下载
  • 作者:Annibal Parracho Sant'Anna ; Helio Darwich Nogueira ; Lucia Mathias Rabelo
  • 期刊名称:Brazilian Journal of Operations & Production Management
  • 印刷版ISSN:1679-8171
  • 出版年度:2011
  • 卷号:8
  • 期号:1
  • 页码:65-82
  • 出版社:Associação Brasileira de Engenharia de Produção (ABEPRO)
  • 摘要:A methodology to deal with choice by a group of decision makers is here developed. Its first step consists on obtaining individual evaluations of the available options. These evaluations are seen as estimates of location parameters of random variables and each vector of individual evaluations of the whole set of options is transformed into a vector of probabilities of being ranked as the best choice by that individual decision maker. The next step is the probabilistic composition of such individual vectors of probabilities into a unique vector of aggregate preferences. To do that different composition procedures may be applied. The comparison of the results of distinct composition strategies is employed to detect outliers in the individual evaluations and, fnally, to filter the best options. After the initial evaluations are obtained, the whole process may be automatically developed. This makes the methodology particularly useful when fast decisions are needed. Its applicability is here illustrated by a case of daily revision of a stocks portfolio.
国家哲学社会科学文献中心版权所有