Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Fuzzy Extension and Applications
2783-1442
2717-3453
1
2
2020
06
01
Generalizations and alternatives of classical algebraic structures to neutroAlgebraic structures and antiAlgebraic structures
81
83
EN
Florentin
Smarandache
0000-0002-5560-5926
University of New Mexico, 705 Gurley Ave., Gallup, New Mexico 87301, USA.
fsmarandache@gmail.com
10.22105/jfea.2020.248816.1008
In this paper we present the development from paradoxism to neutrosophy, which gave birth to neutrosophic set and logic and especially to NeutroAlgebraic Structures (or NeutroAlgebras) and AntiAlgebraic Structures (or AntiAlgebras) that are generalizations and alternatives of the classical algebraic structures.
NeutroAlgebra,AntiAlgebra,NeutroOperation,AntiOperation,NeutroAxiom,AntiAxiom,NeutroTheorem
https://www.journal-fea.com/article_114548.html
https://www.journal-fea.com/article_114548_a0e91dfc9eaaaad6bf91090c5dee1283.pdf
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Fuzzy Extension and Applications
2783-1442
2717-3453
1
2
2020
06
01
Analyzing the barriers of organizational transformation by using fuzzy SWARA
84
97
EN
Iman
Ghasemian Sahebi
Department of Production and Operation Management at University of Tehran, Tehran, Iran.
iman.ghasemian@ut.ac.ir
Alireza
Arab
0000-0002-5024-2177
Department of Operations Research at University of Tehran, Tehran, Iran.
alireza.arab@ut.ac.ir
Seyed Pendar
Toufighi
Department of Production and Operation Management at University of Tehran, Tehran, Iran.
toufighi.p@ut.ac.ir
10.22105/jfea.2020.249191.1010
The crucial role of bureaucracy in the economic, political, socio-cultural and political structures, and its impact in achieving the goals of organization is so important that in order to achieve the development, change directions consists of purifying and modernization of the administrative system in Iran also seems necessary. An important part of the transportation industry in each country, is the airports. So, dealing with the bureaucracy airports to implement better practices and removing unnecessary processes is the most issues. Hence, it can be stated that the aim of this study is to identify barriers of transformation in the organization administrative and then prioritizing these barriers in Mehrabad airport. For this purpose, the grounded theory and fuzzy SWARA methods was used to identifying the barriers and prioritizing them. Grounded theory results showed that cognitive barriers, structural barriers, participation barriers, economic and income barriers, legal barriers, strategic barriers, and management barriers are the barriers of the transformation in the Mehrabad airport administrative system. The Fuzzy SWARA method used to prioritize these barriers, which according to the results, the structural barriers were the important barriers. Then cognitive and legal barriers were placed in the next rank. At the end, some solutions have been presented for overcoming these barriers in the Mehrabad airport.
Barriers,Organizational Transformation,Grounded theory,Fuzzy SWARA
https://www.journal-fea.com/article_114681.html
https://www.journal-fea.com/article_114681_181887425fcddcf5f6916e19009cf44f.pdf
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Fuzzy Extension and Applications
2783-1442
2717-3453
1
2
2020
06
01
Prediction of Pakistan super league-2020 using TOPSIS and fuzzy TOPSIS methods
98
107
EN
Muhammad
Naveed
Jafar
https://orcid.org/00
Department of Mathematics, Faculty of Basic Sciences Lahore Garrison University, Lahore, Pakistan.
naveedjafar@lgu.edu.pk
Faizullah
Khan
Department of Mathematics, Faculty of Basic Sciences, Lahore Garrison University, Lahore, Pakistan.
kfaizullah520@gmail.com
Amir
Naveed
Department of Mathematics, Faculty of Basic Sciences, Lahore Garrison University, Lahore, Pakistan.
raoaamir432@gmail.com
10.22105/jfea.2020.249363.1011
We lived in uncertain word and prediction in this uncertain word is a major issue. Prediction in cricket is very complex because there are many factors which are effecting on results. Weather, pitch, Conditions, Home grounds are some of these factors. In this article it is aimed to predict the results of PSL-2020 by using TOPSIS and Fuzzy TOPSIS methods. It will be interesting because first time in PSL history it is going to be held in Pakistan. But we use some serious factor to predict the winner of PSL-2020.
PSL,TOPSIS,prediction,Cricket
https://www.journal-fea.com/article_115186.html
https://www.journal-fea.com/article_115186_9701246f974ab1c74295fcec5c6f48c8.pdf
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Fuzzy Extension and Applications
2783-1442
2717-3453
1
2
2020
06
01
Application of fuzzy logic in portfolio management: evidence from Iranian researches
108
111
EN
Meysam
Kaviani
Department of Financial Management, Tonekabon Branch, Islamic Azad University, Iran.
meysamkaviani@gmail.com
Seyed
Fakhreddin
Fakhrehosseini
Department of Business Management, Tonekabon Branch, Islamic Azad University, Iran.
f_fkm21@yahoo.com
10.22105/jfea.2020.249372.1012
Over the past decades, financial researchers have proposed different methods in portfolio selection, so that, Markwotiz [1] introduced risk and return criteria for a portfolio selection. Since it is difficult how to select an adequate stock portfolio, fuzzy models have been able to help researchers by considering uncertainty. In this research, we surveyed a portfolio management by reviewing the relevant literature of fuzzy model in financial management. The results showed that a fuzzy model can to determine an optimal portfolio.
Fuzzy logic,Portfolio,optimization
https://www.journal-fea.com/article_115132.html
https://www.journal-fea.com/article_115132_0203d50f80084ef397e149136076a616.pdf
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Fuzzy Extension and Applications
2783-1442
2717-3453
1
2
2020
06
01
A new decision making approach for winning strategy based on muti soft set logic
112
121
EN
Renukadevi
Vellapandi
Department of Mathematics, Central University of Tamil Nadu
Thiruvarur, India.
renu_siva2003@yahoo.com
Sangeetha
Gunasekaran
Department of Mathematics, Sri Kaliswari College, Sivakasi, India.
geethaphd1990@gmail.com
10.22105/jfea.2020.249373.1013
We introduce a new concept of certainty and coverage of a parameter of the soft set and present a new decision making approach for the soft set over the universe using the certainty of a parameter. Also, we point out the drawbacks of the reduct definition by pointing out the delusion of Proposition 14 given by Herawan et al. [20] and provide the revised definition of the reduct of the multi soft set.
certainty,Coverage,flow graph,Decision Making,multi-valued information system,multi soft set
https://www.journal-fea.com/article_115131.html
https://www.journal-fea.com/article_115131_deadf295fe385d866ba2e113a5890dd8.pdf
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Fuzzy Extension and Applications
2783-1442
2717-3453
1
2
2020
06
01
Medical diagnostic analysis on some selected patients based on modified Thao et al.’s correlation coefficient of intuitionistic fuzzy sets via an algorithmic approach
122
132
EN
Paul
Augustine
Ejegwa
0000-0003-4834-6433
Department of Mathematics, Statistics and Computer Science, University of Agriculture, P.M.B. 2327, Makurdi-Nigeria.
ocholohi@gmail.com
Idoko
Charles
Onyeke
0000-0001-6378-551X
Department of Computer Science, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria.
onyeke.idoko@uam.edu.ng
10.22105/jfea.2020.250108.1014
The concept of correlation coefficient of intuitionistic fuzzy sets is a reliable tool in information theory with numerous applications in diverse areas. Correlation coefficients of intuitionistic fuzzy sets have been studied through two-way approach by many researchers. This approach inappropriately discarded the hesitation margins of the concerned intuitionistic fuzzy sets, which makes the results of such experiments unreliable. In this paper, we modified the correlation coefficient of intuitionistic fuzzy sets of Thao et al. [36] in a three-way approach by including the hesitation margins in the computational process to enhance reliable output through an algorithmic method. We show that the modified correlation coefficient of intuitionistic fuzzy sets is more reasonable with precise outputs than correlation coefficient method. In terms of application, we demonstrate an analysis of medical diagnosis on some selected patients via an algorithm of the novel approach coded with JAVA programming language.
Algorithmic approach,Correlation coefficient,Fuzzy set,Intuitionistic fuzzy set,Medical diagnostic analysis
https://www.journal-fea.com/article_115259.html
https://www.journal-fea.com/article_115259_7db4f2b5c127338f43d905d644a0d5b5.pdf
Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education
Journal of Fuzzy Extension and Applications
2783-1442
2717-3453
1
2
2020
06
01
Computer and fuzzy theory application: review in home appliances
133
138
EN
Tim
Chen
Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnamnant University, Vietnam.
timchen@tdtu.edu.vn
Ilnar
Karimov
Department of Fundamentals of Machine and Mechanism Design, Ufa State Aviation Technical University, Ufa, 450008 Russian Federation, Russia.
ikarimov@ugatu.su
Jcy
Chen
Department of Electronic and Automatic Engineering, Covenant University, 10 Idiroko Road, Canaan Land, Ota, Ogun State, Nigeria.
jc343965@gmail.com
Alexandv
Constantinovitc
Department of English Language, Moscow City Pedagogical University, Russia.
alexandvconstantinovitc@mgpu.ru
10.22105/jfea.2020.251719.1019
Clays have a tendency to this article first introduces the basic concepts of fuzzy theory, including comparisons between fuzzy sets and traditional explicit sets, fuzzy sets basic operations such as the membership function of the set and the colloquial variable, the intersection and union of the fuzzy set, and use the above concepts to guide into the four basic reasoning mechanisms of fuzzy mode and introduce several common types of fuzzy application examples such as fuzzy washing machine and fuzzy control of incinerator plant in China illustrate the application of fuzzy theory in real society.
Fuzzy theory,fuzzy control,Fuzzy set
https://www.journal-fea.com/article_117959.html
https://www.journal-fea.com/article_117959_a3a97cd18759ca02ffc7232ae61ff303.pdf