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Extraction Method Based on Rough Set Theory of Rule-Type Knowledge from Diagnostic Cases of Slope-Failure Danger Levels

  • Hitoshi Furuta
  • Michiyuki Hirokane
  • Yukihiro Mikumo
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 19)

Abstract

The failure of slopes caused by heavy rains in the typhoon and baiu seasons has taken tolls of lives and done damages all over country [1] [2]. To prevent such disaster, it is necessary to take appropriate measures against slope failure at appropriate spots at appropriate times. Preventive works of such structures as are capable of preventing slope failure have to be chosen, slopes surveyed thoroughly, geology, soil properties, costs of civil engineering works, scenery, and so on taken into account [3]. Slopes requiring such works and their danger levels of failure should be evaluated synthetically, and appropriate spots and times of such works should be determined Accordingly, it is important to estimate the danger levels of slope failure with accuracy of a certain degree, which also helps to minimize the damages by slope failure.

Keywords

Debris Flow Slope Failure Experiential Knowledge Decision Table Decision Attribute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Hitoshi Furuta
    • 1
  • Michiyuki Hirokane
    • 1
  • Yukihiro Mikumo
    • 2
  1. 1.Kansai UniversityOsakaJapan
  2. 2.NEWJEC IncOsaka 542Japan

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