Toward an Information Theory Foundation for Aggregation Processes

建立聚合过程的信息理论基础

• 批准号: 9103180
• 负责人: Donald Saari
• 金额: $ 17.4万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-08-15 至 1995-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9103180&HistoricalAwards=false
• 关键词: Toward; Information; Theory; Foundation; Aggregation

Aggregation procedures are of critical importance to a large number of the sciences, including engineering, computer science, decision science, statistics, economics and other social sciences. The purpose of this research is to develop a mathematical, information theory foundation for several central classes of aggregation processes. The idea in the development of this foundation is that the theory may be able to characterize the kinds of faults and paradoxes, as well as the kinds of desired traits that can occur. It is expected that the theory will be able to determine the best choice of procedures subject to specified sets of criteria. This theory will be applied to several specific classes of procedures coming from diverse disciplines. Thus, it is expected that several new kinds of results will emerge for computer science and engineering, decision and choice theory, economics, statistics, ect.

聚合过程对于大型 许多科学，包括工程学，计算机科学， 决策科学，统计学，经济学和其他社会 以理工科为重 本研究的目的是开发一种 数学，信息论基础的几个中心 聚合过程的类别。 发展中的理念 这个基础是，该理论可能能够描述 错误和悖论的种类，以及 所期望的特性。 预计该理论 将能够确定最佳选择的程序主题 一系列特定的标准。 这一理论将应用于 几个特定类别的程序来自不同的 学科 因此，预计几种新的 计算机科学和工程的研究成果将会出现， 决策与选择理论、经济学、统计学等。