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A computer system using two membership functions and T-Norms for the calculation of mountainous watersheds torrential risk: The case of lakes Trixonida and Lisimaxia

  • F. Maris
  • L. Iliadis
Part of the Developments in Plant and Soil Sciences book series (DPSS, volume 103)

Abstract

This manuscript describes the development and application of a fuzzy computer system for the estimation of a longterm unique torrential risk index, expressing as many parameters as possible. This paper describes the estimation of the torrential risk in the areas of Trixonida and Lisimaxia lakes and it is a part of a bigger project for the torrential risk evaluation of the watersheds, lakes and streams of Greece. The model that was introduced to the computer system works as follows: many torrential (morphometric and hydrographic) parameters are used as input to the System and they are evaluated by Fuzzy functions. This produces separate risk indices with each one associated to a specific parameter. Finally T-Norms are applied in order to unify the risk indices and to produce a unified means of risk measure. The computer system has proven its ability to work more effectively compared to the older (established) methods. From these points of view, this work can be considered as an original and important contribution in the international literature. There are no restrictions in the application-area of the system.

Keywords

Membership Function Decision Support System Risk Index Fuzzy Relation Fuzzy Logic Model 
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 2007

Authors and Affiliations

  • F. Maris
    • 1
    • 2
  • L. Iliadis
    • 1
  1. 1.Department of Forestry&Management of the Environment&Natural ResourcesDemocritus University of ThraceNea OrestiadaGreece
  2. 2.Department of Forestry&Management of the Environment&Natural ResourcesDemocritus University of ThraceNea OrestiadaGreece

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