scholarly journals Penerapan Fuzzy Mamdani Dalam Menentukan Pencapaian Keberhasilan Mengajar Guru MI Mambaul Ulum Al-Amin Sampit

2021 ◽  
Vol 6 (1) ◽  
pp. 9
Author(s):  
R Rahmawati
Keyword(s):  
Fuzzy Sets ◽  
Achievement Level ◽  
Output Variable ◽  
Centroid Method ◽  
The Third ◽  
Input And Output ◽  
Processing Data ◽  
Teacher Success ◽  
Input Variables ◽  
Certain Answers

Current problems often do not have certain answers. The use of fuzzy mamdani logic to determine a level of achievement of the success of the teacher in teaching students at MI Mambaul Ulum Al Amin Sampit is the content of this paper. The problem will be solved by determining the level of achievement of the teacher's success in teaching students, if only two input variables are used, namely the teacher and also the value. So the first thing to solve the problem of the level of achievement of teacher success in teaching through the fuzzy mamdani method is to determine the input and output variables of a firm set. The second thing is changing the input variables into fuzzy sets through fuzzyfication. The third thing is processing data from fuzzy sets using the maximum system. The last or fourth thing is changing the results issued into a firm set through defuzzyfication with the centroid method, so the results are as desired in the output variable. The calculation of fuzzy mamdani results in an achievement level of success for MI teachers with a teacher variable value of 55 and a variable value of 80

scholarly journals Mathematical Models of the Simplest Fuzzy Two-Term (PI/PD) Controllers Using Algebraic Product Inference

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Murali Bosukonda ◽  
Naresh Kelothu
Keyword(s):  
Mathematical Models ◽  
Fuzzy Sets ◽  
Output Variable ◽  
Control Rules ◽  
Variable Control ◽  
Control Community ◽  
Input Variables ◽  
The Universe ◽  
Control Output ◽  
Universe Of Discourse

This paper reveals mathematical models of the simplest Mamdani PI/PD controllers which employ two fuzzy sets (N: negative and P: positive) on the universe of discourse (UoD) of each of two input variables (displacement and velocity) and three fuzzy sets (N: negative, Z: zero, and P: positive) on the UoD of output variable (control output in the case of PD, and incremental control output in the case of PI). The basic constituents of these models are algebraic product/minimum AND, bounded sum/algebraic sum/maximum OR, algebraic product inference, three linear fuzzy control rules, and Center of Sums (CoS) defuzzification. Properties of all these models are investigated. It is shown that all these controllers are different nonlinear PI/PD controllers with their proportional and derivative gains changing with the inputs. The proposed models are significant and useful to control community as they are completely new and qualitatively different from those reported in the literature.

scholarly journals PENERAPAN LOGIKA FUZZY DALAM OPTIMASI PRODUKSI BARANG MENGGUNAKAN METODE MAMDANI

2017 ◽  
Vol 5 (1) ◽  
pp. 14
Author(s):  
Wahyu Toto Priyo
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Set ◽  
Alternative Solution ◽  
Output Variable ◽  
Centroid Method ◽  
Production Problem ◽  
Input Variables ◽  
Production Problems ◽  
Maximum Method

Developement and revolution of the era are always followed by the development of technology and sciences. Along with the development of the era, it will be found various problems in various aspects of life, including in the field of industry. Often companies experience obstacles in meeting the number of requests from consumers, or even the amount of inventory of many goods. From these problems required an appropriate solution for production problems can be resolved. In this research, we will apply Fuzzy Logic as one of alternative solution of goods production problem, that is by using Mamdani method, with the quantity of demand and inventory of goods as input variable and quantity of goods produced as output variable. Then followed by 4 stages, namely: (a) Formation of fuzzy set by fuzzification process, (b) Application of implication function, (c) Composition of rules with maximum method, (d) Process defuzzification with centroid method that will result outout amount of goods which must be produced by the company. From the results of the analysis that has been done, by entering the input variables the number of requests amounted to 54,900 units and the amount of inventory amounted to 4060 units produce output production amounted to 46,600 units.Keywords: Fuzzy Logic, Mamdani methode, goods production

scholarly journals EFISIENSI PEMBIAYAAN BANK PEMBIAYAAN RAKYAT SYARIAH (BPRS) DI JAWA TIMUR PERIODE 2014-2017. ANALISIS DENGAN METODE DEA (CRS,VRS, dan Skala)

2020 ◽  
Vol 3 (01) ◽  
pp. 15
Author(s):  
Aziza Hanifa Khairunnisa ◽  
Nisful Laila
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Efficiency ◽  
Profit Sharing ◽  
Third Party ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Output Variable ◽  
Input And Output ◽  
Dea Efficiency ◽  
Input Variables

<p><em>This research aimed to find out the efficiency level of financing of Islamic Rural Bak in East Java. Input variables used were the rights of third party on profit sharing and PPAP cost, while output variable used was main operational income. Method used to measure efficiency level was Data Envelopment Analysis (DEA) with the assumption of Variable Return to Scale and the input and output orientations. The measurement of efficiency value with VRS assumption resulted three efficiency values, which are Technical Efficiency (VRS), Economic Efficiency (CRS), and Scale Efficiency. Then, these three values were analyzed further to get to know the source of inefficiency of financing in inefficient Islamic Rural Bank.</em><em> </em></p><strong><em>Keywords</em></strong><em>: BPRS, Data Envelopment Analysis (DEA)Efficiency, Financing</em>

Predictive Validity of the Graduate Record Examination with and without Range Restraints

1997 ◽  
Vol 81 (1) ◽  
pp. 211-220 ◽  
Author(s):  
Kenneth Oldfield ◽  
Janet R. Hutchinson
Keyword(s):  
Graduate Students ◽  
Grade Point Average ◽  
Predictive Validity ◽  
Graduate School ◽  
Graduate Record Examination ◽  
Output Variable ◽  
Grade Point ◽  
Input And Output ◽  
Input Variables ◽  
Suggested Explanation

Most studies show that scores on the Graduate Record Examination (GRE) have low predictive validity for graduate grade point average. One suggested explanation is that the input and output variables have restricted ranges. Restriction of the input variables results when students with low GRE scores are omitted from the analysis. The output variable is constricted since most students receive an A or B in courses. However, the present study shows that the GRE has low predictive validity even when both the input and output variables are more widely distributed for a sample of graduate students. The need for better screening mechanisms to select from among applicants to graduate school is discussed.

scholarly journals FUZZY-LOGICAL APPROACH TO CONSTRUCTING AN INTEGRAL INDICATOR IN A LEVEL ESTIMATION MODEL SIGNIFICANT MARKET ADVANTAGE

2021 ◽  
Vol 7 (2) ◽  
pp. 139-145
Author(s):  
Valentin Myachin ◽  
Olena Yudina
Keyword(s):  
Expert System ◽  
Membership Function ◽  
Market Concentration ◽  
Fuzzy Expert System ◽  
Output Variable ◽  
Economic Competition ◽  
Logical Approach ◽  
Input And Output ◽  
Input Variables ◽  
Integral Indicator

The purpose of this research is to construct fuzzy expert system to estimate an integral degree of market concentration by fuzzy-logical approach. The methodological basis of the study consists of scientific works of domestic and foreign scientists and leading specialists, statistical and analytical materials of state authorities. Fuzzy Inference is introduced for the integrated indicator construction. Two indicators are chosen as input variables. The first indicator, CR, is a level of concentration ratio. The second indicator, HHI, is the Herfindahl-Hirschman index. Output variable, MC indicator, means a degree of market concentration. Both input and output variables are transformed to fuzziness through the construction of membership function. The function type and parameters are substantiated and “bell”-shaped membership function to describe uncertainty of the values falling under normal distribution is chosen. The quantity of fuzzy sets at every input is considered z=3 and the quantity of input variables is considered ω=2. To achieve completeness of the model, the quantity of logic rules is considered r=3²=9. To calculate a degree of market concentration, Mamdani fuzzy conclusion is applied. Defuzzification is engaged to calculate value of the output variable which is MC indicator to mean a degree of market concentration and therefore readiness to implement the innovation strategy for enterprises active in innovation. To estimate a degree of market concentration, the fuzzy expert system given allows for engagement of different indicators due to fuzzy logic methodology which considers fuzziness of the input and output variables. The construction of an integral indicator for assessing the state of economic competition in order to establish the feasibility of identifying operators and providers with a significant market advantage will improve the assessment of the state of economic competition in the market in the telecommunications services market in Ukraine.

CONVERGENCE IMPROVEMENT OF ADAPTIVE LATTICE ALGORITHM WITH FUZZY BASED ADAPTIVE GAIN

1999 ◽  
Vol 09 (01n02) ◽  
pp. 125-132
Author(s):  
GEUN-TAEK RYU ◽  
DAE-SUNG KIM ◽  
DAE-YOUNG LEE ◽  
SUNG-HWAN HAN ◽  
HYEON-DEOK BAE
Keyword(s):  
Adaptive Filters ◽  
Communication Channel ◽  
Long Distance ◽  
Input And Output ◽  
Forward Prediction ◽  
Adaptation Procedure ◽  
Distance Communication ◽  
One Step ◽  
Input Variables ◽  
Lattice Algorithm

The choice of the adaptive gain is important to the performance of LMS-based adaptive filters. Depending on application areas, the realization structure of the filters is also important. This letter presents an adaptive lattice algorithm which adjusts the adaptive gain of LMS using fuzzy if-then rules determined by matching input and output variables during adaptation procedure. In each lattice filter stage, this filter adjusts the adaptive gain as the output of the fuzzy logic which has two input variables, normalized squared forward prediction error and one step previous adaptive gain. The proposed algorithm is applied to echo canceling problem of long distance communication channel. The simulation results are compared with NLMS on TDL and lattice structures.

scholarly journals A fuzzy system for cloacal temperature prediction of broiler chickens

2012 ◽  
Vol 42 (1) ◽  
pp. 166-171 ◽  
Author(s):  
Leandro Ferreira ◽  
Tadayuki Yanagi Junior ◽  
Wilian Soares Lacerda ◽  
Giovanni Francisco Rabelo
Keyword(s):  
Decision Support ◽  
Fuzzy System ◽  
Broiler Chickens ◽  
Broiler Chicken ◽  
Fuzzy Inference ◽  
Air Velocity ◽  
Output Variable ◽  
Average Standard Deviation ◽  
Inference System ◽  
Input Variables

Cloacal temperature (CT) of broiler chickens is an important parameter to classify its comfort status; therefore its prediction can be used as decision support to turn on acclimatization systems. The aim of this research was to develop and validate a system using the fuzzy set theory for CT prediction of broiler chickens. The fuzzy system was developed based on three input variables: air temperature (T), relative humidity (RH) and air velocity (V). The output variable was the CT. The fuzzy inference system was performed via Mamdani's method which consisted in 48 rules. The defuzzification was done using center of gravity method. The fuzzy system was developed using MAPLE® 8. Experimental results, used for validation, showed that the average standard deviation between simulated and measured values of CT was 0.13°C. The proposed fuzzy system was found to satisfactorily predict CT based on climatic variables. Thus, it could be used as a decision support system on broiler chicken growth.

scholarly journals Linearization of symmetrical and asymmetrical two-way Doherty amplifier

2012 ◽  
Vol 25 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Aleksandar Atanaskovic ◽  
Natasa Males-Ilic ◽  
Bratislav Milovanovic
Keyword(s):  
Fourth Order ◽  
Linearization Technique ◽  
The Third ◽  
Simulation Process ◽  
Input And Output ◽  
Carrier Cell ◽  
Fifth Order ◽  
Doherty Amplifier

The linearization effects on two-way Doherty amplifiers are presented in this paper. Symmetrical Doherty amplifier with the additional circuit for linearization has been realized and measurements of the linearization influence on the third- and fifth-order intermodulation products have been carried out. Asymmetrical Doherty amplifier has been designed and effects of the applied linearization technique have been considered through the simulation process. The linearization approach uses the fundamental signals? second harmonics and fourth-order nonlinear signals that are extracted at the output of the peaking cell, adjusted in amplitude and phase and injected at the input and output of the carrier cell in Doherty amplifier.

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