«mamdani defuzzification method»
۵۶ نتیجهDetermining the Production Amount of Tofu Using Mamdani Method (Case Study: UD. Eko Jaya Pasuruan Tahu Factory)
Lots of problems that contain uncertainty arise in this world. Fuzzy logic is one the methods created to analyze systems these uncertainties. In study, author uses Mamdani method or often also known as Min-Max which an application fuzzy method. The purpose study was determine amo
Application of The Fuzzy Grid Partition-Based Mamdani Method to Decision Support System for Determining Salary Increase Eligibility
Fuzzy grid partition has been used to produce appropriate and optimal output. The output of several fuzzy inference methods such as the Tsukamoto method Mamdani have improved by applying partitions. This study aims apply partition-based mamdani determine feasibility increasing em
Design and Development of Fuzzy Logic Application Mamdani Method in Predicting The Number of Covid-19 Positive Cases in West Java
The increase in covid-19 positive patients is unpredictable which results being unprepared dealing with Covid-19 cases. People monitoring and under supervision are the category that breastfeed to be after passing incubation period for 14 days. Artificial intelligence used predict
MAMDANI-TYPE FUZZY CONTROLLER TO DETERMINE BLOOD PRESSURE LEVELS BY REFLECTION PPG
This document presents the design of a fuzzy control system applying photoplethysmography techniques to generate input data and Mamdani-type logic for its processing generation output values, through which blood pressure levels can be indicated based on parameters recommended by
Assessment the Quality of Bottled Drinking Water Through Mamdani Fuzzy Water Quality Index
In this investigation, an innovative index was developed based on the fuzzy inference system for assessing quality of bottled drinking waters. A method to aggregate values obtained from defuzzification step. total number 24 parameters revealing characteristics were in terms physi
Fuzzy Systems, Modeling and Identification
This text provides an introduction to the use of fuzzy sets and fuzzy logic for the approximation of functions and modeling of static and dynamic systems. The concept of a fuzzy system is first explained. Afterwards, the motivation and practical relevance of fuzzy modeling are hi
Comparative Study of type-1 and Type-2 Fuzzy Systems
TYPE-2 fuzzy sets (T2 FSs), originally introduced by Zadeh [3], provide additional design degrees of freedom in Mamdani and TSK fuzzy logic systems (FLSs), which can be very useful when such systems are used in situations where lots of uncertainties are present [4]. The implement
Implication-based models of monotone fuzzy rule bases
In many modelling problems, there is some inherent monotone relationship between one or more of the input variables and the output variable. We consider the prototypical case of an increasing relationship between each of the input variables and the output variable. When using fuz
Safe and Efficient Control of Hydro Power Plant by Fuzzy Logic
Many factors related to river run-off are vague, subjective and difficult to quantify. The fuzzy logic method is very useful for such problem solving approach such as small hydro power generation. The rule base and membership functions have a great influence on the performance an
Fuzzy Expert System for Diabetes using Fuzzy Verdict Mechanism
--------------------------------------------------------------------ABSTRACT-----------------------------------------------------------------The fuzzy logic and expert system is an important technique to enhance the machine learning reasoning. In this paper, we propose a fuzzy ex