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航空学报 > 1989, Vol. 10 Issue (4): 133-138

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应用Fuzzy ISODATA方法选择航空科研项目

刘文阁1, 顾昌耀1, 彭友梅2   

  1. 1. 北京航空航天大学;2. 飞机发动机研究所
  • 收稿日期:1988-03-18 修回日期:1900-01-01 出版日期:1989-04-25 发布日期:1989-04-25

SELECTING R &|D PROJECTS IN AERONAUTICS BY USING FUZZY ISODATA ALGORITHMS

Liu Wenge1, Gu Changyao1, Peng Youmei2   

  1. 1. Beijing University of Aeronautics and Astronautics China;2. Aircaft Engine Research Institute
  • Received:1988-03-18 Revised:1900-01-01 Online:1989-04-25 Published:1989-04-25

PDF (PC)

288

摘要：

本文将Fuzzy ISODATA方法用于科研项目的选择,并结合中国航空发动机涡轮冷却专业的科研选题实例进行了定量分析。用Fuzzy ISODATA方法将14个备选项目按其对总目标的贡献值划分为3类。结果表明,该方法具有划分合理,结果直观,计算速度快便于对大量项目进行选择的优点。

关键词: 科研项目选择, 模糊聚类法

Abstract:

Measurements of benefit contributions of R&D projects to system goals have been playing an important role in R&D project selection process. Because of fuzziness and uncertainty of the benefit contributions, it is difficult to measure it exactly and objectively. In this paper,a fuzzy measurement of benefit contributions by using fuzzy ISODATA algorithms is presented along with a real world case example-the R&D project selection of aircraft engine of china. The 14 project candidates are fuzzily classified as 3 classes in terms of the evaluation of their benefit contributions made by 12 experts. It is concluded that the fuzzy ISODATA algorithm is an effective method for R&D project selection.

Key words: R&, D project selection, fuzzy ISODATA, benefit contribution, benefit, measurement

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