Journal of Fuzzy Extension & Applications

Journal of Fuzzy Extension & Applications

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  • Publisher:
  • Country of publisher: iran, islamic republic of
  • Date added to EuroPub: 2021/Feb/25

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  • LCC Subject Category: Mathematics, Engineering
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  • Time from submission to publication: weeks

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  • Waiver policy for charges? No

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  • Open Access Statement: No
  • Year open access content began: 2020
  • Does the author retain unrestricted copyright? False
  • Does the author retain publishing rights? False

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This journal has '33' articles

Supplier selection using fuzzy AHP method and D-Numbers

Supplier selection using fuzzy AHP method and D-Numbers

Authors: Payam Shafi Salimi
Year: 2020, Volume: 1, Number: 1
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Abstract

Success in supply begins with the right choice of suppliers and in the long run is directly related to how suppliers are managed, because suppliers have a significant impact on the success or failure of a company. Multi-criteria decisions are approaches that deal with ranking and selecting one or more suppliers from a set of suppliers. Multi-criteria decisions provide an effective framework for comparing suppliers based on the evaluation of different criteria. The present research is applied based on the purpose and descriptive-survey based on the nature and method of the research. In the present study, two library and field methods have been used to collect information. According to the objectives of this study, suppliers will be evaluated using two methods of fuzzy hierarchical analysis with D-numbers. In order to better understand these two methods, a case study is presented in which suppliers are ranked using two methods and then the results are compared with each other. For manufacturing companies, 4 categories of parts were considered and based on the classification, the suppliers of the manufacturing company were evaluated and analyzed. In the results of suppliers of type A and B components in hierarchical analysis, D and fuzzy methods have many differences in the evaluation and ranking of suppliers, and this shows the lack of expectations of experts in D and fuzzy analysis. On the other hand, in type C and D components, the classification and ranking of suppliers have been matched in two ways and shows that the opinions in the evaluation of these suppliers are the same.

Keywords: Supply Chain, Management, Fuzzy AHP Method, D-Numbers
Precise services and supply chain prioritization in manufacturing companies using cost analysis provided in a fuzzy environment

Precise services and supply chain prioritization in manufacturing companies using cost analysis provided in a fuzzy environment

Authors: Alireza Marzband
Year: 2020, Volume: 1, Number: 1
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Abstract

In recent years, management and, consequently, supply chain performance measurement, has attracted the attention of a large number of managers and researchers in the field of production and operations management. In parallel with the evolution of organizations from a single approach to a network and supply chain approach, performance measurement systems have also changed and moved towards network and supply chain performance measurement. Therefore, in order to face the storm of great change and transformation and not give in to the wave of competitive aggression, organizations have long had one thing in common, and that is to focus approaches and focus efforts towards achieving results. Results that lead to a competitive advantage and are more effective and decisive in the performance indicators of the organization, including earning more. In this study, in order to identify and prioritize the factors affecting the supply chain in manufacturing companies, using indicators such as cost, timely delivery and procurement time to evaluate the supply chain efficiency is considered. And performance evaluation was performed at the manufacturer level. Therefore, in order to evaluate the performance of the supply chain using the AHP integration approach and the DEA method approach in the fuzzy environment, the suppliers and suppliers of the manufacturing company were evaluated and ranked in terms of performance.

Keywords: Supply Chain Management, Data Envelopment Analysis, Supply Chain Efficiency
Application of transportation problem under pentagonal Neutrosophic environment

Application of transportation problem under pentagonal Neutrosophic environment

Authors: Sapan Kumar Das
Year: 2020, Volume: 1, Number: 1
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Abstract

The paper talks about the pentagonal Neutrosophic sets and its operational law. The paper presents the cut of single valued pentagonal Neutrosophic numbers and additionally introduced the arithmetic operation of single-valued pentagonal Neutrosophic numbers. Here, we consider a transportation problem with pentagonal Neutrosophic numbers where the supply, demand and transportation cost is uncertain. Taking the benefits of the properties of ranking functions, our model can be changed into a relating deterministic form, which can be illuminated by any method. Our strategy is easy to assess the issue and can rank different sort of pentagonal Neutrosophic numbers. To legitimize the proposed technique, some numerical tests are given to show the adequacy of the new model.

Keywords: Transportation Problem, Pentagonal Neutrosophic Numbers, Linear Programming
Using interval arithmetic for providing a MADM approach

Using interval arithmetic for providing a MADM approach

Authors: Hossein Jafari, Mohammad Ehsanifar
Year: 2020, Volume: 1, Number: 1
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Abstract

The VIKOR method was developed for Multi-Criteria Decision Making (MCDM). It determines the compromise ranking list and the compromise solution obtained with the initial weights. This method focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria. It introduces the multi-criteria ranking index based on the particular measure of ‘‘closeness” to the “Ideal” solution. The aim of this paper is to extend the VIKOR method for decision making problems with interval number. The extended VIKOR method’s ranking is obtained through comparison of interval numbers and for doing the comparisons between intervals. In the end, a numerical example illustrates and clarifies the main results developed in this paper.

Keywords: Decision Making, Multi Attribute Decision Making (MADM), Interval Arithmetic
Fuzzy logic in accounting and auditing

Fuzzy logic in accounting and auditing

Authors: Mohsen Imeni
Year: 2020, Volume: 1, Number: 1
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Abstract

Many areas of accounting have highly ambiguous due to undefined and inaccurate terms. Many ambiguities are generated by the human mind. In the field of accounting, these ambiguities lead to the creation of uncertain information. Many of the targets and concepts of accounting with binary classification are not consistent. Similarly, the discussion of the materiality or reliability of accounting is not a two-part concept. Because there are degrees of materiality or reliability. Therefore, these ambiguities lead to the presentation information that is not suitable for decision making. Lack of attention to the issue of ambiguity in management accounting techniques, auditing procedures, and financial reporting may lead to a reduced role of accounting information in decision-making processes. Because information plays an important role in economic decision-making, and no doubt, the quality of their, including accuracy in providing it to a wide range of users, can be useful for decision-making. One of the features of the fuzzy set is that it reduces the need for accurate data in decision making. Hence this information can be useful for users.

Keywords: Fuzzy Logic, Accounting, Auditing, Ambiguity
Efficiency study with undesirable inputs and outputs in DEA

Efficiency study with undesirable inputs and outputs in DEA

Authors: Abbasali Monzeli, Behrouz Daneshian, Gasem Tohidi, Masud Sanei, Shabnam Razavian
Year: 2020, Volume: 1, Number: 1
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Abstract

Data Envelopment Analysis (DEA) is one of the well-known methods for calculating efficiency, determining efficient boundaries and evaluating efficiency that is used in specific input and output conditions. Traditional models of DEA do not try to reduce undesirable outputs and increase undesirable inputs. Therefore, in this study, in addition to determining the efficiency of Decision-Making Units (DMU) with the presence of some undesirable input and output components, its effect has also been investigated on the efficiency limit. To do this, we first defined the appropriate production possibility set according to the problem assumptions, and then we presented a new method to determine the unfavorable performance of some input and output components in decision-making units. And we determined the impact of unfavorable inputs and outputs on the efficient boundary. We also showed the model result by providing examples for both unfavorable input and output states and solving them and determining the efficiency score and driving them to the efficient boundary by plotting those boundaries.

Keywords: Data Envelopment Analysis, Undesirable Inputs and Outputs, Efficiency Efficient Boundaries
Generalizations and alternatives of classical algebraic structures to neutroAlgebraic structures and antiAlgebraic structures

Generalizations and alternatives of classical algebraic structures to neutroAlgebraic structures and antiAlgebraic structures

Authors: Florentin Smarandache
Year: 2020, Volume: 1, Number: 2
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Abstract

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.

Keywords: NeutroAlgebra, AntiAlgebra, NeutroOperation, AntiOperation, NeutroAxiom, AntiAxiom, NeutroTheorem
Analyzing the barriers of organizational transformation by using fuzzy SWARA

Analyzing the barriers of organizational transformation by using fuzzy SWARA

Authors: Iman Ghasemian Sahebi, Alireza Arab, Seyed Pendar Toufighi
Year: 2020, Volume: 1, Number: 2
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Abstract

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.

Keywords: Barriers, Organizational Transformation, Grounded Theory, Fuzzy SWARA
Prediction of Pakistan super league-2020 using TOPSIS and fuzzy TOPSIS methods

Prediction of Pakistan super league-2020 using TOPSIS and fuzzy TOPSIS methods

Authors: Muhammad Naveed Jafar, Faizullah Khan, Amir Naveed
Year: 2020, Volume: 1, Number: 2
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Abstract

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.

Keywords: PSL, TOPSIS, Prediction, Cricket
Application of fuzzy logic in portfolio management: evidence from Iranian researches

Application of fuzzy logic in portfolio management: evidence from Iranian researches

Authors: Meysam Kaviani, Seyed Fakhreddin, Fakhrehosseini
Year: 2020, Volume: 1, Number: 2
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Abstract

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.

Keywords: Fuzzy Logic, Portfolio, Optimization
A new decision making approach for winning strategy based on muti soft set logic

A new decision making approach for winning strategy based on muti soft set logic

Authors: Renukadevi Vellapandi, Sangeetha Gunasekaran
Year: 2020, Volume: 1, Number: 2
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Abstract

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.

Keywords: Certainty Coverage, Flow Graph, Decision Making, Multi-Valued Information System, Multi Soft Set
Medical diagnostic analysis on some selected patients based on modified Thao et al.’s correlation coefficient of intuitionistic fuzzy sets via an algorithmic approach

Medical diagnostic analysis on some selected patients based on modified Thao et al.’s correlation coefficient of intuitionistic fuzzy sets via an algorithmic approach

Authors: Paul Augustine Ejegwa, Idoko Charles Onyeke
Year: 2020, Volume: 1, Number: 2
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Abstract

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.

Keywords: Algorithmic Approach, Correlation Coefficient, Fuzzy Set, Intuitionistic Fuzzy Set, Medical Diagnostic Analysis
Computer and fuzzy theory application: review in home appliances

Computer and fuzzy theory application: review in home appliances

Authors: Tim Chen, Ilnar Karimov, Jcy Chen, Alexandv Constantinovitc
Year: 2020, Volume: 1, Number: 2
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Abstract

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.

Keywords: Fuzzy Theory, Fuzzy Control, Fuzzy Set
The picture fuzzy distance measure in controlling network power consumption

The picture fuzzy distance measure in controlling network power consumption

Authors: Ngan Thi Roan; Salvador Coll; Marina Alonso; Juan Miguel Martínez Rubio; Pedro López; Fran Andujar; Son Hoang Le; Manh Van Vu; Florentin Smarandache
Year: 2020, Volume: 1, Number: 3
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Abstract

In order to solve the complex decision-making problems, there are many approaches and systems based on the fuzzy theory were proposed. In 1998, Smarandache introduced the concept of single-valued neutrosophic set as a complete development of fuzzy theory. In this paper, we research on the distance measure between single-valued neutrosophic sets based on the H-max measure of Ngan et al. [8]. The proposed measure is also a distance measure between picture fuzzy sets which was introduced by Cuong in 2013 [15]. Based on the proposed measure, an Adaptive Neuro Picture Fuzzy Inference System (ANPFIS) is built and applied to the decision making for the link states in interconnection networks. In experimental evaluation on the real datasets taken from the UPV (Universitat Politècnica de València) university, the performance of the proposed model is better than that of the related fuzzy methods.

Keywords: Neutrosophic Set, Picture Fuzzy Set, Distance Measure, Decision Making, Interconnection Network, Power Consumption
Some remarks on neutro-fine topology

Some remarks on neutro-fine topology

Authors: Veerappan Chinnadurai, Mayandi Pandaram Sindhu
Year: 2020, Volume: 1, Number: 3
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Abstract

The neutro-fine topological space is a space that contains a combination of neutrosophic and fine sets. In this study, the various types of open sets such as generalized open and semi-open sets are defined in such space. The concept of interior and closure on semi-open sets are defined and some of their basic properties are stated. These definitions extend the concept to generalized semi-open sets. Moreover, the minimal and maximal open sets are defined and some of their properties are studied in this space. As well as, discussed the complement of all these sets as its closed sets. The basic properties of the union and intersection of these open sets are stated in some theorems. Only a few sets satisfy this postulates, and others are disproved as shown in the counterexamples. The converse of some theorems is proved in probable examples.

Keywords: Neutro-Fine-Generalized Open Sets, Neutro-Fine-Semi Open Sets, Neutro-Fine-Semi Interior, Neutro-Fine-Semi Closure, Neutro-Fine-Generalized Semi Open Sets, Neutro-Fine Minimal Open Set, Neutro-Fine Maximal Open Sets

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