Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지

Prediction System on Chance of Rain by Fuzzy Relational Model

  • Sano, Manabu (Department of Mechanical Systems Engineering, Kanazawa University) ;
  • Tanaka, Kazuo (Department of Mechanical Systems Engineering, Kanazawa University) ;
  • Yoshioka, Keisuke (Department of Mechanical Systems Engineering, Kanazawa University)
  • Published : 1993.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this paper is to construct a prediction system on the chance of rain in a local region using a fuzzy relational model. The prediction system consists of two parts. One is a prediction part on the chance of rain. The compositional law of fuzzy inference, proposed by Zadeh, is applied to predict the chance of rain. The other is a learning part of a fuzzy relational model using input-output data. A simple and fast learning algorithm is used in this part. Simulations are carried out by the actual weather data in our city and their results show the validity of prediction by the fuzzy relational approach.

Keywords