Intelligent Pool Decision System Using Zero-Order Sugeno Fuzzy System

  • Authors:
  • Shing Chyi Chua;Eng Kiong Wong;Voon Chet Koo

  • Affiliations:
  • Faculty of Engineering & Technology, Multimedia University, Bukit Beruang, Malaysia 75450;Faculty of Engineering & Technology, Multimedia University, Bukit Beruang, Malaysia 75450;Faculty of Engineering & Technology, Multimedia University, Bukit Beruang, Malaysia 75450

  • Venue:
  • Journal of Intelligent and Robotic Systems
  • Year:
  • 2005

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Abstract

This paper describes the approach of using the zero-order Sugeno fuzzy system to design an intelligent decision system for a game of pool. The decision system consists of three types of playing strategies for a normal game of pool: direct, combination and bank shots. For each of the playing scenario on the pool table, the decision system comes out with one output shot (or best shot): presenting which ball should be chosen and which path should it follow. The system has been tested step-by-step on a real pool game and results are tabulated in the paper. The decision is designed as the brain for a robotic pool system.