fuzzy rule-based systems The knowledge base of Mamdani fuzzy rule-based systems The inference engine of Mamdani fuzzy rule-based systemsThe fuzzification interfaceThe inference systemThe defuzzification interface The fuzzification interface The inference system The defuzzification interface Example of ...
Fuzzy Rule-Based System (FRBS) can be divided into two kinds: approximate . 基于规则的模糊系统可以分成两种形式:近似的和描述的。3) fuzzy rules 模糊规则 1. A method of selecting fuzzy rules based on the clonal selection algorithm; 基于克隆选择算法的模糊规则提取方法 2. Extract of fuzzy ru...
Fuzzy rule-based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as antecedents and consequent to represent human-understandab
On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based on clinical records. A fuzzy rule-based system for risk estimation of cardiovascular patients is proposed. It uses a group of ...
A fuzzy rule-based approach to real-time scheduling In real-time systems, tasks have to be performed not only correctly, but in a timely fashion. Task scheduling is essential for designing a real-time system... J Lee,A Tiao,J Yen - IEEE World Congress on IEEE Conference on Fuzzy System...
It is widely recognized that the human reasoning can be approximated by fuzzy rule-based (FRB) systems which can be seen as one of the basic frameworks for representation of intelligent systems. During the last quarter of a century two particular types of FRB systems, namely Zadeh-Mamdani (ZM...
Over the last quarter of a century, two types of fuzzy rule-based (FRB) systems dominated, namely Mamdani and Takagi–Sugeno type. They use the same type of scalar fuzzy sets defined per input variable in their antecedent part which are aggregated at the inference stage by t-norms or co-...
A performance evaluation system is crucial for achieving a successful closed-loop supply chain in the automotive industry. Hence, a suitable expert fuzzy rule-based system for evaluation was developed in this study using Visual Basic.Net. The fuzzy rules and arithmetic used were described. The ...
A Fuzzy Rule Based Expert System for Effective Heart Disease Diagnosis This is a general method that combines the soft computing techniques like genetic algorithms and fuzzy rule based expert system for effective heart disease... EP Ephzibah,V Sundarapandian - Springer, Berlin, Heidelberg 被引量:...
In this paper, we show how a fuzzy rule-based system is developed for trading in a futures market. By our fuzzy rule-based system, an agent determines whether it should buy a futures spot or not based on the time series of both the spot and the futures p