scholarly journals PENENTUAN JURUSAN PADA PROSES PENERIMAAN MAHASISWA DENGAN PENDEKATAN LOGIKA FUZZY

2021 ◽  
Vol 8 (1) ◽  
pp. 193-200
Author(s):  
Ari Purno Wahyu ◽  
Umi Hayati
Keyword(s):  
Membership Function ◽  
Fuzzy Inference ◽  
Function Type ◽  
Academic Field ◽  
Computer Knowledge ◽  
Selection Test ◽  
The Right ◽  
High Level ◽  
Selection Of

Choosing a major is not an easy matter. There are many factors that must be taken into account and carefully thought out so that in choosing a major, it will cause big losses. There are many ways to determine the selection of majors, one of which is by using fuzzy logic. Determination of majors is determined from the results of the selection test in the academic field with the subjects of Mathematics, English and Computer Knowledge. With the aim of recommending the selection of the right major according to academic abilities and improving quality. By using the fuzzy inference model Mamdani max-min method. The system simulation was tried using the MATLAB Fuzzy Toolbox software. The system design is carried out in several stages, namely: (1) formation of fuzzy sets, (2) formation of rules, (3) determination of the composition of rules, and (4) confirmation (defuzzification). Defuzzification is carried out using the Composite Moment method, with the types of membership functions used are mf-triangular, mf-trapezoid and mf-gaussian. From the results of the tests carried out, it shows that the mf-triangular and mf-trapezoid membership function types produce almost the same level of accuracy. While the membership function type mf-gaussian produces a high level of accuracy for mathematics by 87.50%, English 100% and computer knowledge 81.58%.  

scholarly journals Formulation of the membership function and determination of the input of fuzzy loads in the structural fuzzy analyzing problem

2007 ◽  
Vol 29 (2) ◽  
pp. 117-126
Author(s):  
Nguyen Van Pho
Keyword(s):  
Membership Function ◽  
Input Parameter ◽  
Design Standards ◽  
Input Parameters ◽  
Triangular Membership Function ◽  
Probabilistic Density Function ◽  
Fuzzy Parameters ◽  
Selection Of ◽  
The Membership Function

The fuzzy analyzing process consists of different steps. In this paper, the author considers only the method for formulation of the membership function of fuzzy loads acting on the structure. Based on the membership function of fuzzy loads, the combinations of deterministic of the regression analyzing process will be determined. The membership function of fuzzy loads is selected by the triangular membership function. It is in conformity with the concept on selection of loads in the design standards. The combination of inputs for the analyzing process will be determined, based on the number of present times of the value of input parameters (including the deterministic parameters, fuzzy parameters and the random ones) in the schema of analysis. The number of present times of input parameters is either proportional to value of the corresponding membership function or to the value of the probabilistic density function. A method for determining the appropriate combination of deterministic inputs so that each input parameter will present only one time in each combination is proposed. To illustrate the proposed method, an example on the determination of input combinations of tornado's velocity in Vietnam is presented.

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN MITRA KERJASAMA PADA HOTEL GRAND SIRAO DENGAN MENGGUNAKAN METODE PSI (Preference Selection Index)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hendri Cahaya Putra
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Index Selection ◽  
Short Supply ◽  
Cooperation Partners ◽  
The Right ◽  
Selection Of

Grand Sirao Hotel is a hotel that stands in the middle of Medan City, located on Jl. Semarang. Grand Sirao Hotel is an attractive hotel in the sector of cooperation in certain fields, but in this hotel it often happens in cooperation with outside companies. One of the problems that often occurs at the Grand Sirao Hotel is the constrained stock of goods needed for guests staying at the hotel, items that are often constrained which are usually in the form of sandals and toiletries that are in short supply. This problem often arises because of the many other factors between companies related to hotel owners themselves, debates that often arise from hotel owner claims include quality of goods that are sometimes incompatible with reservations and need to be taken into account, inventory can be exhausted, prices always go up because of skyrocketing market prices and other problems. This collaboration problem arises due to lack of success in determining partnerships with related companies that are not appropriate and in company selection is also still manual and there are appropriate systems and criteria. Therefore a decision support system is needed in the selection of partners upon the proposed approval. One solution to this problem that is right is to make a decision system in the decision of the company's business partners so that the determination of cooperation in accordance with the right requirements. By using a Decision Support System (SPK) is expected to help the company in making decisions made by the right company partners in increasing the efficiency of the decision. PSI (Index Selection Preference Method) is a method for solving multi-decision making (MCDM) decisions. In the proposed method it is not necessary to submit among the attributes. There are no attributes required in computing that are involved in decision making. It is hoped that by using the PSI (Index Selection Preference) Method, it is necessary to establish a decision support system which can assist in the selection of corporate cooperation partners at the Grand Sirao Hotel.Keywords: Determination of Cooperation Partners, Decision Support System, PSI (Index Selection Preference)

Improvement of olfactometric measurement accuracy and repeatability by optimization of panel selection procedures

2010 ◽  
Vol 61 (5) ◽  
pp. 1267-1278 ◽  
Author(s):  
L. Capelli ◽  
S. Sironi ◽  
R. Del Rosso ◽  
P. Céntola ◽  
S. Bonati
Keyword(s):  
Degrees Of Freedom ◽  
Selection Procedure ◽  
Selection Procedures ◽  
Accuracy And Precision ◽  
Repeated Analysis ◽  
The Right ◽  
Accuracy And Repeatability ◽  
Selection Of ◽  
Dynamic Olfactometry

The EN 13725:2003, which standardizes the determination of odour concentration by dynamic olfactometry, fixes the limits for panel selection in terms of individual threshold towards a reference gas (n-butanol in nitrogen) and of standard deviation of the responses. Nonetheless, laboratories have some degrees of freedom in developing their own procedures for panel selection and evaluation. Most Italian olfactometric laboratories use a similar procedure for panel selection, based on the repeated analysis of samples of n-butanol at a concentration of 60 ppm. The first part of this study demonstrates that this procedure may originate a sort of “smartening” of the assessors, which means that they become able to guess the right answers in order to maintain their qualification as panel members, independently from their real olfactory perception. For this reason, the panel selection procedure has been revised with the aim of making it less repetitive, therefore preventing the possibility for panel members to be able to guess the best answers in order to comply with the selection criteria. The selection of new panel members and the screening of the active ones according to this revised procedure proved this new procedure to be more selective than the “standard” one. Finally, the results of the tests with n-butanol conducted after the introduction of the revised procedure for panel selection and regular verification showed an effective improvement of the laboratory measurement performances in terms of accuracy and precision.

scholarly journals An Assessment of Alternative Low Level Calculation Methods for the Initial Selection of Conformers of Diastereomeric Esters

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Andrus Metsala ◽  
Sven Tamp ◽  
Kady Danilas ◽  
Ülo Lille ◽  
Ly Villo ◽  
...  
Keyword(s):  
Geometry Optimization ◽  
Reference Method ◽  
Low Level ◽  
Butyl Esters ◽  
Specific Object ◽  
Derivatizing Agent ◽  
High Level ◽  
Level Calculation ◽  
Selection Of

Critical assessment of performance of alternative molecular modeling methods depending on a specific object and goal of the investigation is a question of continuous interest. This prompted us to demonstrate the origin of the guidelines we have used for a rational choice and use of a proper low level calculation method (LLM) for an initial geometry optimization of generated conformers, with the aim of selecting a set for further optimization. What was performed herein was a comparison of LLMs: MM3, MM+, UFF, Dreiding, AM1, PM3, and PM6 on the optimization of conformers’ geometry of α-methoxyphenylacetic acid (MPA) 2-butyl esters as a set of typical diastereomeric esters of a chiral derivatizing agent. This set of esters calculated represents only compounds of this certain type in the current work. The LLM conformer energies were correlated with benchmark energies found by using higher level reference method B3LYP/6-311++G** on the geometries gained previously by optimization with LLMs. In an alternative treatment, the energy range to be covered and corresponding number of LLM optimized conformers obligatory for submitting to further optimization using a high level optimization cascade were considered on the basis of determination of the cut-off conformer (COFC).

scholarly journals Induction Motor Stator Fault Classification Using PCA-ANFIS Technique

2020 ◽  
Vol 19 (1) ◽  
pp. 26-32
Author(s):  
Ayodele Isqeel Abullateef ◽  
Mohammed Faiz Sanusi ◽  
Olabanji Sunday Fagbolagun
Keyword(s):  
Induction Motor ◽  
Membership Function ◽  
Induction Motors ◽  
Fuzzy Inference ◽  
Principal Component ◽  
Fault Classification ◽  
Function Type ◽  
Inference System ◽  
Stator Fault

Induction motors are used commonly for industrial operations due to their ease of operation coupled with ruggedness and reliability. However, they are subjected to stator faults which result in damage and consequently revenue losses. The classification of stator fault in a three-phase induction motor based on Adaptive neuro-fuzzy inference system (ANFIS) in combination with Principal Component Analysis (PCA) is proposed in this study. A burnt motor was redesigned and rewound while data acquisition was developed to acquire the current and vibration data needed for the fault classification. The data feature extraction for the fault classification was carried out by PCA while backpropagation and the least-squares algorithms were used for the training of the data. Three principal components, which severs as input for the ANFIS, were used to represent the entire data. The ANFIS was tested under four different paradigms, while the membership function type and epoch number were changed at each instant. The ANFIS model based on the triangular membership function and 10 epoch number was found appropriate and used, bringing the accuracy of the model to over 99% with the lowest ANFIS training RMSE error of      1.1795e-6. The ANFIS validation results of the fault classification show that the results are accurate, indicating that the PCA-ANFIS technique is applicable in fault diagnosis and classification of stator faults in induction motors.

scholarly journals Development of Decision Support System for Ordering Goods using Fuzzy Tsukamoto

2018 ◽  
Vol 8 (2) ◽  
pp. 1182 ◽  
Author(s):  
Andik Setyono ◽  
Siti Nur Aeni
Keyword(s):  
Mean Squared Error ◽  
Fuzzy Inference ◽  
Inference System ◽  
Calculation Results ◽  
Fuzzy Logic Method ◽  
Input Variables ◽  
System Calculation ◽  
The Right ◽  
Retail Company

The determination of a number of items in the right number is very essential for a company, but in actual practice, it is not trivial task. There are many factors that influence them such as inventory and sales levels. If a number of the ordering goods is too slight or too much, it will effect in the fulfillment of consumer demand. One of the ways that can be used to predict a number of ordering goods is a Fuzzy Inference System (FIS) using Tsukamoto fuzzy logic method. Three variables that are used in this study, namely sales, inventory, and ordering or purchasing. The sales input variables are divided into 3 categories, namely down, constant, and rise. Then, inventory input variebles are divided into 3 categories, namely a slight, moderate and many, likewise ordering input variables also consists in 3 categories, namely less, constant, and increase. The next step is the combination of rules from all events, then performing inference and defuzzifikasi to find average centered. To prove the applied method against manual calculations are then implemented in the developed system. The results of the system calculation do not much different with the calculation results that are done by manually. This is proven by information in the table of Mean Squared Error (MSE) with error results of under 1. So, without prejudice to accuracy in the calculation, the system can be used to save time in determining the amount of the ordering goods. The proposed method can help for research object, in this case is retail company to determine a number of ordering goods.

scholarly journals BUILDING A FUZZY EXPERT SYSTEM FOR ASSESSING THE LEVEL OF SIGNIFICANT MARKET ADVANTAGE

2021 ◽  
Author(s):  
Volodymyr Dubnitskyi ◽  
Valentyn Miachyn ◽  
Olexander Myroshnichenko
Keyword(s):  
Membership Function ◽  
Fuzzy Inference ◽  
Market Concentration ◽  
Comprehensive Analysis ◽  
State Regulation ◽  
Regulatory Body ◽  
Output Variable ◽  
Function Type ◽  
Input Variables ◽  
Business Entities

Identifying operators with significant market power as an element of state regulation in the field of telecommunications solves one of the key tasks for the national regulator – identifying business entities that may be subject to tariff regulation to limit monopoly power. Unlike existing methods, especially when a telecommunications operator operates simultaneously in several service markets, this method provides a comprehensive analysis of the state and degree of power of the operator – the share that a monopolist can simultaneously hold. The developed algorithm for comprehensive analysis of the telecommunications market of operators in the markets of telecommunications services forms an important component of analytical tools for collecting, processing and calculating at the level of the national regulatory body. The methodological basis of the study, consisted 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 a Herfindahl-Hirschman index. Output variable is defined as MC indicator which means a degree of market concentration. Both input variables and the output one 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 as z = 3 and the quantity of input variables is considered as ω = 2. To achieve completeness of the model, the quantity of logic rules is considered as 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.

scholarly journals Penerapan Metode Inferensi Fuzzy Takagi Sugeno-Kang Untuk Prediksi Hasil Panen Kelapa Sawit

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Budi Yanto ◽  
erni Rouza ◽  
edi saputra
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Fuzzy Inference ◽  
Linear Equations ◽  
Input Variables ◽  
The Right ◽  
Takagi Sugeno ◽  
Target Determination ◽  
The Given

Palm oil is one of the main crops and seeds in Indonesia. In oil palm plantations, oil palm crops are the most important things. Oil palm crops in the right time and quantity are what the farmers want. Therefore, harvest prediction using as reference of palm oil harvest target. Determination of harvest targets required a method that is able to predict the yield of oil palm. In this research, built a system of fuzzy inference with TSK method (Takagi Sugeno Kang), which aims to predict the yield of oil palm farmers. The fuzzy rules in the form of IF antecedent THEN are consequent, using consequent linear equations of the input variables. The coefficients of each variable of linear equation are consequently derived based on the expected yield of the harvest. The results of prediction testing of Palm Oil harvest production in 3 seasons, namely Dry Season, Rainy Season, Fertilization, input the number by values of variable with to the given range prove that the fuzzy inference of the TSK method can calculate palm il crop predictions well.

scholarly journals Studi Numerik Optimasi Propeller Kapal Selam 29 meter Dengan Menggunakan High Skew

2017 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Cahya Kusuma ◽  
I Made Ariana
Keyword(s):  
Research Method ◽  
Fluid Dynamic ◽  
Water Channel ◽  
Open Water ◽  
Efficient Design ◽  
Skew Angle ◽  
Optimum Velocity ◽  
The Right ◽  
High Level ◽  
Selection Of

Indonesia is an archipelagic nation and most shallow water channel in Western Indonesia, making the concept of mini submarine use by the Navy to be the right choice. One of the most important engineering is to design a mini submarine propeller with a high level of optimization. This research method is based on the result of numerical simulation using Computer Fluid Dynamic (CFD) which use B-series as base with skew variation 36o, 45o, 54o. It is expected that the results of this research can provide solutions in the selection of efficient design propeller for mini submarine 29m. With the open water diagrams generated then obtained the greatest efficiency value on B4-522 with skew obtained at 45 ° skew angle. The optimum velocity value is at J = 0.07 at 8.9 knots with an efficiency value of 0.856.

scholarly journals Penerapan Metode Promethee Sebagai Sistem Pendukung Keputusan Pemeringkatan Siswa

2019 ◽  
Vol 3 (4) ◽  
pp. 381
Author(s):  
Ronal Watrianthos ◽  
Kusmanto Kusmanto ◽  
Elida F. S. Simanjorang ◽  
Muhammad Syaifullah ◽  
Ibnu Rasyid Munthe
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preference Ranking ◽  
Sample Data ◽  
Long Time ◽  
Main Input ◽  
The Right ◽  
Selection Of

Students rank requires several considerations and criteria. Determination of the criteria must be prepared as much as possible because it is related to the selection of outstanding students. However, this ranking is considered less than optimal and requires a long time because it is processed manually by the school. The right Decision Support System is needed to produce quick and accurate ranking decisions. This study uses the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) as a Decision Support System. This method will use multi-criteria as the main input in decision making. PROMETHEE will be used to analyze criteria based on alternatives compared to rank according to students' grades and abilities. Based on the research sample data, the highest value was 0.739 for alternative A16. This shows that alternative A16 is the best alternative compared to other alternatives based on consideration of all criteria. The development of PROMETHEE with application-based Decision Support Systems is much better because it produces fast and accurate calculations.

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