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A Decision Making Assistant for Engineering Design

A Decision Making Assistant for Engineering Design
工程设计决策助手
批准号:
9312996
负责人:
David Ullman
金额:
$23.98万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-09-01 至 1997-02-28

项目摘要

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中文摘要
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英文摘要
9312996 Ullman THis project develop a prototype computer based design aid that give engineering decision support over a project lifecycle based on whatever incomplte, inconsistent, and interdependent information is available. The system does not require knowledge beyond that normally used by engineers in their standard work experience. The resulting prototype supports engineering teams in reaching a decision about an issue based on current knowledge about alternatives to solve the issue and arguments supporting or opposing those alternatives. The level of support improves as the level of knowledge improves. The techniques developed integrate and support traditional decision making tools such as optimization, CPM, and decision trees. The decision support philosophy and system are validated through a set of balanced experiments. ***
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会议论文
Collaborative Research: Investigating the Air-Sea Energy Exchange in the presence of Surface Gravity Waves by Measurements of Turbulence Dissipation, Production and Transport
  • 批准号:
    1756811
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.93万
  • 财政年份:
    2018
  • 负责人:
    David Ullman
  • 依托单位:
The Surveying Coastal Ocean Autonomous Profiler (SCOAP): Development and Demonstration
  • 批准号:
    1131390
  • 项目类别:
    Standard Grant
  • 资助金额:
    $63.96万
  • 财政年份:
    2011
  • 负责人:
    David Ullman
  • 依托单位:
Collaborative Research: Observations of the Structure and Dynamics of Mid-Shelf Fronts
  • 批准号:
    0550770
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2006
  • 负责人:
    David Ullman
  • 依托单位:
Metrics for Evaluation of the Product Design Process
  • 批准号:
    9634768
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.64万
  • 财政年份:
    1996
  • 负责人:
    David Ullman
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis