In this study the author discusses the problem of defuzzification by minimizing the weighted distance between two fuzzy quantities. Also, this study obtains the nearest point with respect to a fuzzy number and shows that this point is unique relative to the weighted distance. By utilizing this point, a method is presented for effectively ranking fuzzy numbers and their images to overcome the de...

A fuzzy autopilot for track-keeping control of underwater vehicles is considered. Input variables fuzzification, fuzzy rules and output set defuzzification are described. Quality of control of the fuzzy tracking controller under influence of the sea current disturbance was analysed and compared to a traditional PD controller. Some computer simulations are provided to demonstrate the effectivene...

This is the age of modern science where different kinds gadgets are used for betterment humanity. Various electronic, intelligence systems invented via technology FLC (Fuzzy Logic Controller) to develop their systems. Nowadays, widely in uncertainty and robust development Two inputs one output have been this paper. Also, various defuzzification methods determine washing time a smart machine. Fi...

Purpose. The main purpose of the research is to substantiate methodological approach defuzzification and define its peculiarities in process estimating value agricultural lands.
 Methodology / approach. included use a set appropriate methods. In particular, fuzzy logic techniques formed basis research. system was used order determine role land resources enterprise potential corresponding s...

Mamdani Systems are very well known in the area of Fuzzy Control, where they have been, they are, and they will continue to be successfully used. Efforts to linguistically interpret Mamdani Systems as a method for inference in fuzzy logic have faced the difficulty of interpreting the output of such systems before defuzzification, which consists of an aggregation of normally truncated fuzzy sets...

The paper deals with the problem of resource allocation in a substrate network with DaVinci architecture. We present a methodology of decision making on network bandwidth allocation based on fuzzification and defuzzification principles and the expert knowledge database of fuzzy rules and we describe a fuzzy logic based modification of the adaptive bandwidth allocation mechanism to optimize deci...

In this paper we propose a controller architecture for High Voltage Direct Current (HVDC) based on our adaptive network called Fuzzified Input Perceptron (FIP). In FIP, the THEN part membership function and defuzzification steps are combined together, as a result the overall structure becomes simple. Moreover the initial setting of FIP’s parameters can be selected based on expert knowledge. FIP...