Intelligent Pool Decision System Using Zero-Order Sugeno Fuzzy System
نویسندگان
چکیده
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.
منابع مشابه
A Takagi-Sugeno Type Controller for Mobile Robot Navigation
Fuzzy set theory and fuzzy logic are the convenient tools for handling uncertain, imprecise, or unmodeled data in intelligent decision-making systems. The utility of fuzzy logic in system controls domain is presented in the context of a mobile robot navigation control application. The Takagi-Sugeno controller is a fuzzy model capable of approximating a wide class of nonlinear systems by decompo...
متن کاملA Fuzzy Controller with Various T-norms Applied in Robot Navigation
Fuzzy set theory and fuzzy logic are the convenient tools for handling uncertain, imprecise, or unmodeled data in intelligent decision-making systems. The utility of fuzzy logic in system controls domain is presented in the context of a mobile robot navigation control application. The Takagi-Sugeno controller is a fuzzy model capable of approximating a wide class of nonlinear systems by decompo...
متن کاملModeling of self-assessment system of covid-19 disease diagnosis using Type-2 Sugeno fuzzy inference system
Due to the continuation of the pandemic of Coronavirus in the whole world, the number of deaths has reached over one million, based on the World Health Organization reports. Early diagnosis of the illness can be great assistance in order to break the chain of disease transmission. Nowadays, COVID-19 test kits are so limited in numbers, and expensive in terms of cost, which slows down the diagno...
متن کاملImprovement of Rule Generation Methods for Fuzzy Controller
This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base. One of problems of generation of fuzzy rule with training data is inconsistence data. Existence of inconsistence and uncertain states in training data causes high error in modeling. Here, Probability fuzzy system presents to...
متن کاملFEA-OLSR: An Adaptive Energy Aware Routing Protocol for MANETs Using Zero-Order Sugeno Fuzzy System
Optimized Link State Routing (OLSR) is a standard proactive routing protocol for Mobile Ad-hoc NETworks (MANETs). In this paper, we use a zero-order Sugeno Fuzzy Logic System (FLS) for adjusting the willingness parameter in OLSR protocol. Decisions made at each mobile node by the FLS take into account its remaining energy and its expected residual lifetime. Simulation study revealed that the pr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of Intelligent and Robotic Systems
دوره 44 شماره
صفحات -
تاریخ انتشار 2005