Application of Fuzzy Hypothesis Test in Gap Analysis of Some Variables Related To Students' Academic Achievement
Seyyed Mahmood
Taheri
دانشکده فنی، دانشگاه تهران
author
Masood
Asadi
گروه روانشناسی و مشاوره، دانشکده علوم انسانی، دانشگاه اراک
author
Asghar
Shiralipoor
کارشناس ارشد تحقیقات آموزشی، دانشگاه خوارزمی
author
text
article
2020
per
Paying Attention To The Role Of Psychological Variables In Students' Mathematical Performance Has Important Consequences On Their Academic Achievement In Mathematics. Therefore, The Present Study Was Conducted To Investigate The Performance Of Philosophical Mentality, Creativity, Mathematical Self-Efficacy, Mathematical Self-Concept And Mathematical Progress Of Students. Because The Studied Variables Are Essentially Inaccurate, The Resulting Observations Are Also Reported Inaccurately, And Therefore Fuzzy Statistical Methods Are Used In Data Analysis. The Statistical Population Was the Third Year Male Students of Marand Experimental Field, Among Whom 103 Students Answered Four Questionnaires (Philosophical Mentality, Mathematical Self-Efficacy, Creativity and Mathematical Self-Concept). They Also Took A Math Test. Fuzzy Tests Were Used Based On Fuzzy Confidence Intervals To Investigate The Research Question. The Test Results Showed That Students' Mathematical Self-Efficacy And Creativity Are Moderate To High (Desirable), And Students' Philosophical Mentality And Performance Are Moderate To High (Undesirable) And Students' Mathematical Self-Concept Is Moderate. The Proposed Method Is General and Can Be Generalized To Any Degree and Field Of Study. These Findings Can Be Used In The Field Of Planning For Students' Progress In Mathematics.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
1
16
https://jfsa.fuzzy.ir/article_125439_29dadd0b4b82b30a48b196b23072fdc4.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.1.6/DOR
Coding on BE – Algebras
Akbar
Rezaei
گروه ریاضی، دانشگاه پیام نور، تهران، ایران
author
Arsham
Boroomand
دانشکده ریاضی و علوم کامپیوتر، دانشگاه شهید باهنر کرمان، کرمان، ایران
author
Mohammad
Hamidi
گروه ریاضی، دانشگاه پیام نور، تهران، ایران
author
text
article
2020
per
In This Paper, As A Coding Scheme, We Introduce The BE-Value Function On A Given Set And We Intend To Obtain Binary Codes With It. It Will Then Be Shown That Each Finite BE-Algebra Produces A Binary Code.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
17
32
https://jfsa.fuzzy.ir/article_125433_3f83f845f5b711a0c0a0de304c1de783.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.2.7/DOR
Application of fuzzy logic in detecting irregular heartbeat using ECG
آرمین
شوقی
گروه مهندسی کامپیوتر، دانشکده فنی و مهندسی، دانشگاه لرستان
author
Mohhamad
Dowlatshahi
گروه مهندسی کامپیوتر، دانشکده فنی و مهندسی، دانشگاه لرستان
author
text
article
2020
per
An Electrocardiogram Is One Of The Most Important Vital Signals Used By Physicians For Diagnostic Purposes. These Signals Provide Key Information About The Heart's Electrical Activity, And Recording And Displaying Them Over Time Will Lead To Changes In Heart Activity. Nowadays, The Classification Of These Signals Is Widely Used In Medical Science And Disease Diagnosis, And The Use Of Automated Methods Of Their Analysis Using Computer-Based Techniques, Automatic Analysis Of The Shape And Wave Pattern Of Heart Signals Can Help Physicians Diagnose The Type Of Disease. Various Techniques For Classifying Heart Disease, Known As Arrhythmias, Have Been Invented And Discovered. This Article Aims To Investigate The Development Of Different Cardiac Arrhythmia Classification Techniques Based On Fuzzy Logic Along With A Discussion Of Accepted Techniques.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
33
61
https://jfsa.fuzzy.ir/article_125430_14f947febf167ad91fca860001143cdd.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.3.8/DOR
Design of an Intrusion Detection System Using Methods Based On Intelligent Systems
Meisam
Samareh
گروه علوم کامپیوتر، دانشگاه شهید باهنر کرمان،کرمان، ایران
author
Marjan
Koochaki
گروه علوم کامپیوتر، دانشگاه شهید باهنر کرمان،کرمان، ایران
author
text
article
2020
per
Humans are going through a period of their history that computer systems have become an integral part of his life. Computer systems, particularly computer networks, have played a crucial role in many aspects of today's life, so their security is highly regarded. In order to cover their security and the so - called penetration detection in computer networks, many methods such as artificial neural networks are proposed, but one of the challenges of neural networks is to fall into local. The main reason for this problem is the use of slope - based methods in the training process, which is therefore used to solve this challenge by many optimization methods. In this paper, we have tried to train a multilayer perceptron neural network using the colonial competition algorithm and in order to evaluate its efficiency, the proposed method is compared with two other methods. The results of the proposed method have improved 10 - 15 % improvement in cases where the number of samples was higher.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
63
74
https://jfsa.fuzzy.ir/article_125436_10c9ab92a86f21190a5d3d93de44f17f.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.4.9/DOR
Provide A New Solution to Multi-Criteria Decision Problems in A Hesitant Fuzzy Space Environment
Majid
Daerhmiraki
گروه ریاضی و آمار، دانشگاه صنعتی خاتم الانبیاء بهبهان، خوزستان
author
text
article
2020
per
Hesitant Fuzzy Sets (HFS), an extension of fuzzy sets, are useful in solving decision problems where decision makers are unable to choose between multiple values when expressing their opinions. Multi-criteria decision making (MCDM) is a way to rank solutions and find the best one when making two or more criteria decisions. AHP, ELECTRE and TOPSIS are the most popular and accepted MCDM methods. In this paper, we first present a new distance for hesitant fuzzy sets and then use it to solve the MCDM problem with hesitant fuzzy data using the popular TOPSIS method. Finally, with the help of two practical examples, we examined our proposed method.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
75
93
https://jfsa.fuzzy.ir/article_125434_e8f651ad941f02724cca7ae57194ef79.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.5.0/DOR
An Overview of Pythagorean Fuzzy Sets and Their Distance and Similarity Criteria
Kamran
Rezaei
دانشگاه سیستان و بلوچستان، دانشکده ریاضی، آمار و علوم کامپیوتر، گروه علوم کامپیوتر
author
حسن
رضایی
دانشگاه سیستان و بلوچستان، دانشکده ریاضی، آمار و علوم کامپیوتر، گروه علوم کامپیوتر
author
text
article
2020
per
Pythagorean fuzzy arrays, an extension of fuzzy arrays, are a new tool for dealing with ambiguity and are used in a variety of contexts. In this article, the concepts related to these collections are reviewed and due to the great importance of distance and similarity criteria in many fields such as medical diagnosis, pattern recognition, etc., the distance and similarity criteria introduced for these collections are examined.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
95
119
https://jfsa.fuzzy.ir/article_125437_c01df61e91cb6f8237c80d199525ad01.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.6.1/DOR
Fuzzy Bayes Estimation Based on Fuzzy Data
Malihe
Abedini
گروه آمار، دانشکده علوم ریاضی و آمار، دانشگاه بیرجند
author
Mohsen
Arefi
گروه آمار، دانشکده علوم ریاضی و آمار، دانشگاه بیرجند
author
text
article
2020
per
In this paper, a method for estimating fuzzy Bayes based on fuzzy data is investigated. To implement the method, first a back function under the previous fuzzy function and fuzzy data are calculated based on the wick approach. In the following, some Bayesian estimates of fuzzy points including fuzzy mean, fuzzy mean and fuzzy mode of posterior distribution are presented. The advantage of this method is that it provides various fuzzy Bayesian estimates for the community parameter that can be used depending on the condition of the fuzzy data (with or without outliers).
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
121
134
https://jfsa.fuzzy.ir/article_125429_b164729f59f77e35802e15fe5c4f5450.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.7.2/DOR
Introduction to Numerical Methods for Solving Fuzzy Differential Equations
nazanin
Ahmadi
گروه ریاضی، واحد ورامین-پیشوا، دانشگاه آزاد اسلامی، ورامین، ایران
author
Elham
Ahmadi
گروه ریاضی، واحد شهر قدس، دانشگاه آزاد اسلامی، تهران، ایران
author
Saeed
Abbasbandi
گروه ریاضی کاربردی، دانشکده علوم پایه، دانشگاه بین المللی امام خمینی (ره)، قزوین، ایران
author
Tofigh
Allahviranloo
گروه ریاضی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
author
text
article
2020
per
Due to the progress of technical and engineering sciences and the application of differential equations in engineering problems, solving differential equations is of great importance. What we are dealing with in this article is the numerical solution of this group of equations in fuzzy conditions. The most important point in fuzzy differential equations is the type of fuzzy derivative used in this type of equation. The Sikala derivative was one of the most practical derivatives that was first used in fuzzy differential equations and based on it, important numerical solution methods such as Euler method, Taylor method and multi-step methods were proposed by researchers. In this article, we will give a brief overview of these methods.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
135
162
https://jfsa.fuzzy.ir/article_125432_73c490c6d43566a4d03ce3ae57160b66.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.8.3/DOR
Design of Fuzzy Slip Mode Controller Based On Particle Swarm Algorithm to Track The Maximum Power Point In Photovoltaic System
Fatemeh
Jamshidi
گروه مهندسی برق، دانشگاه فسا
author
Reza
Yazdani
گروه مهندسی برق و کنترل، موسسه آموزش عالی پاسارگاد
author
text
article
2020
per
The pursuit of maximum power point (MPP) in solar panels to improve the utilization of solar energy as a new and clean energy source, is of interest to researchers. PV system this article includes PV plate, DC / DC boost converter and load resistance. The idea of MPPT (MPPT control) MPP is a regulator of backward sliding mode based on a two-loop method: the first loop for MPP search and the second loop for tracking. By zeroing the power of the PV system relative to its current, MPP was found and Voltage in MPP The reference voltage is obtained, the performance of this controller is improved using fuzzy logic, and the particle swarm optimization (PSO) algorithm is used to minimize the average power difference between the PV system and the maximum power to determine its parameters. Since MPPs change with temperature and solar radiation, the performance of the proposed control scheme for temperature and solar radiation changes is evaluated. The quantitative and qualitative results of the simulation show the effective performance of the proposed method. Normal working conditions confirm the robustness of the proposed control scheme
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
163
179
https://jfsa.fuzzy.ir/article_125427_462d2fc6bbe4a8c5c0b00a8f57058f75.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.9.4/DOR
Fuzzy Multi-Feature Decision Making and Its Applications
Amin
Hashemi
گروه کامپیوتر، دانشکده فنی و مهندسی، دانشگاه لرستان
author
Mohammad
Dowlatshahi
گروه کامپیوتر، دانشکده فنی و مهندسی، دانشگاه لرستان
author
text
article
2020
per
One of the most important parts of expert systems and operations research is multi-criteria fuzzy decision making in which the decision-making process is based on several different criteria and most of these criteria are in conflict with each other. Fuzzy decision making is commonly used in situations where vague and incomplete information on problem solutions is available. In this paper, we will examine fuzzy multiphase decision making and its various algorithms with a focus on fuzzy TOPSIS algorithm and then examine the various applications of fuzzy multiphase decision algorithms.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
181
235
https://jfsa.fuzzy.ir/article_125428_d9bffa48896ad8d65dfd9593cb68af5f.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.10.5/DOR
Late Probability of C'p Efficiency Index for Exponentially Distributed Process With Fuzzy Technical Characteristic Limits
Benita
Dowlatzadeh
بخش آمار، دانشکده ریاضی و کامپیوتر، دانشگاه شهید باهنر کرمان
author
Vahid
Amirzadeh
بخش آمار، دانشکده ریاضی و کامپیوتر، دانشگاه شهید باهنر کرمان
author
text
article
2020
per
In this study, the C'p efficiency index under exponential distribution and the probability of process efficiency are calculated according to Bayes' approach. On the other hand, in many processes in nature, the information obtained is fuzzy, so in this study, the technical characteristic limits are considered fuzzy. The purpose of this paper is to calculate the probability of C'p efficiency index for a process with exponential distribution that has a fuzzy technical characteristic range. Finally, an example is given to calculate this probability.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
237
244
https://jfsa.fuzzy.ir/article_125431_33897cba5da4bc5b70a1afc2259b6191.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.11.6/DOR
The Problem of Backpacks with Fuzzy Values of Hesitant Value Ranges
Madineh
Farnam
گروه مهندسی برق، دانشگاه صنعتی شهدای هویزه، دشت آزادگان، خوزستان، ایران
author
majid
Darehmiraki
گروه ریاضی، دانشگاه صنعتی خاتم الانبیاء بهبهان، خوزستان
author
text
article
2020
per
In this study, we intend to investigate the zero-one backpack problem in which the value of each item is expressed as a hesitant fuzzy set of interval values. This means that more than one decision-maker has participated in evaluating the value of each item in the backpack, and in addition, the decision-makers have recorded their opinions in a range between zero and one. Of course, the weight of each item, as well as the total weight, is definitely considered for the backpack. For this purpose, we designed an appropriate framework to achieve the appropriate answer to the problem. By properly analyzing the structure of the problem and identifying the factors influencing its solution, the appropriate ranking method and cumulative operator were selected to find the answer to the problem. Finally, a numerical example was presented to examine the proposed model and solution method. The results are obtained from the perspective of an optimistic, pessimistic and balanced decision maker. Therefore, there is a good variety in choosing the answer for the decision maker.
Fuzzy Systems and its Applications
Iranian Fuzzy Systems Association
2717-4409
3
v.
1
no.
2020
245
260
https://jfsa.fuzzy.ir/article_125435_6182d992ea63c11fdc19204e29a5aebe.pdf
dx.doi.org/20.1001.1.27174409.1399.3.1.12.7/DOR