Fuzzy sets and their variants
New view of fuzzy aggregations. Part III: extensions of the FPOWA operator in the problem of political management

Gia Sirbiladze

Volume 2, Issue 4 , December 2021, , Pages 321-333

https://doi.org/10.22105/jfea.2021.275097.1082

Abstract
  The Ordered Weighted Averaging (OWA) operator was introduced by Yager [34] to provide a method for aggregating inputs that lie between the max and min operators. In this article we continue to present some extensions of OWA-type aggregation operators. Several variants of the generalizations of the ...  Read More

Soft sets and their variants
A survey on different definitions of soft points: limitations, comparisons and challenges

Mujahid Abbas; Yanhui Guo; Ghulam Murtaza

Volume 2, Issue 4 , December 2021, , Pages 334-343

https://doi.org/10.22105/jfea.2021.290368.1156

Abstract
  The aim of this paper is to investigate different definitions of soft points in the existing literature on soft set theory and its extensions in different directions. Then limitations of these definitions are illustrated with the help of examples. Moreover, the definition of soft point in the setup of ...  Read More

Fuzzy sets and their variants
A decision-making system for Corona prognosis using fuzzy inference system

Shaveta Arora; Renu Vadhera; Bharti Chugh

Volume 2, Issue 4 , December 2021, , Pages 344-354

https://doi.org/10.22105/jfea.2021.296652.1158

Abstract
  COVID-19, an epidemic disease, has challenged human lives all over the world. Governments and scientific communities are trying their level best to help the masses. This disease which is caused by corona virus majorly attacks the upper respiratory system rendering the human immunity incapacitated and, ...  Read More

Spherical fuzzy sets
Spherical fuzzy cross entropy for multiple attribute decision making problems

Princy Rayappan; Krishnaswamy Mohana

Volume 2, Issue 4 , December 2021, , Pages 355-363

https://doi.org/10.22105/jfea.2021.281447.1120

Abstract
  In this paper, we investigate the multiple attribute decision making problems with spherical fuzzy information. The advantage of spherical fuzzy set is easily reflecting the ambiguous nature of subjective judgments because the spherical fuzzy sets are suitable for capturing imprecise, uncertain and inconsistent ...  Read More

Hesitant fuzzy sets and their variants
Solution procedure for multi-objective fractional programming problem under hesitant fuzzy decision environment

Madineh Farnam; Majid Darehmiraki

Volume 2, Issue 4 , December 2021, , Pages 364-376

https://doi.org/10.22105/jfea.2021.288198.1152

Abstract
  For the three last decades, the multi-objective fractional programming problem has attracted the attention of many researchers due to various applications in production planning, financial field, and inventory management, and so on. The main aim of this study is to introduce a new application of hesitant ...  Read More

Intuitionistic fuzzy sets and their variants
Some results on certain properties of intuitionistic fuzzy sets

Jaydip Bhattacharya

Volume 2, Issue 4 , December 2021, , Pages 377-387

https://doi.org/10.22105/jfea.2021.290202.1155

Abstract
  An operator is a special symbol for performing a specific function. Several operators like modal operators, topological operators, level operators, etc. have been defined over intuitionistic fuzzy sets. At the same time, so many operations were introduced and studied. The key objective of this paper ...  Read More

Neutrosophic sets and their variants
A neutrosophic Student’s t –type of statistic for AR (1) random processes

Athanase Polymenis

Volume 2, Issue 4 , December 2021, , Pages 388-393

https://doi.org/10.22105/jfea.2021.287294.1149

Abstract
  Neutrosophic statistics are used when one is dealing with imprecise and indeterminate data or parameters. In the present paper we propose a method for performing a neutrosophic Student’s t –type of statistical test that concerns the population mean when data arise from an autoregressive process ...  Read More

D- numbers and their variants
Supplier selection using fuzzy AHP method and D-numbers

Payam Shafi Salimi; Seyyed Ahmad Edalatpanah

Volume 1, Issue 1 , March 2020, , Pages 1-14

https://doi.org/10.22105/jfea.2020.248437.1007

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 ...  Read More

Plithogenic sets and their variants
New Plithogenic sub cognitive maps approach with mediating effects of factors in COVID-19 diagnostic model

Nivetha Martin; R. Priya; Florentin Smarandache

Volume 2, Issue 1 , March 2021, , Pages 1-15

https://doi.org/10.22105/jfea.2020.250164.1015

Abstract
  The escalation of COVID-19 curves is high and the researchers worldwide are working on diagnostic models, in the way this article proposes COVID-19 diagnostic model using Plithogenic cognitive maps. This paper introduces the new concept of Plithogenic sub cognitive maps including the mediating effects ...  Read More

Fuzzy sets and their variants
A fuzzy multi objective inventory model of demand dependent deterioration including lead time

Satya Kumar Das

Volume 3, Issue 1 , March 2022, , Pages 1-18

https://doi.org/10.22105/jfea.2021.306498.1163

Abstract
  In this article, we have developed a deteriorated multi-item inventory model in a fuzzy environment. Here the demand rate is constant. Production cost and set-up cost are the most vital issue in the inventory system of the market world. Here production cost and set-up- cost are continuous functions of ...  Read More

Intuitionistic fuzzy sets and their variants
A new approach for ranking of intuitionistic fuzzy numbers

Suresh Mohan; Arun Prakash Kannusamy; Vengataasalam Samiappan

Volume 1, Issue 1 , March 2020, , Pages 15-26

https://doi.org/10.22105/jfea.2020.247301.1003

Abstract
  The concept of an intuitionistic fuzzy number (IFN) is of importance for representing an ill-known quantity. Ranking fuzzy numbers plays a very important role in the decision process, data analysis and applications. The concept of an IFN is of importance for quantifying an ill-known quantity. Ranking ...  Read More

Neutrosophic sets and their variants
A study of maximal and minimal ideals of n-refined neutrosophic rings

Mohammad Abobala

Volume 2, Issue 1 , March 2021, , Pages 16-22

https://doi.org/10.22105/jfea.2021.270647.1072

Abstract
  If R is a ring, then Rn(I) is called a refined neutrosophic ring. Every AH-subset of Rn(I) has the form P = ∑ni=0 p i Ii= {a0+a1I+⋯+anIn: ai∈p i}, where p i are subsets of the classical ring R. The objective of this paper is to determine the necessary and sufficient conditions on p i which ...  Read More

Linguistic term sets and their variants
Fuzzy FMEA model: a case study to identify rejection and losses in fibre industry

Mayank Jatwa; VK Sukhwani

Volume 3, Issue 1 , March 2022, , Pages 19-30

https://doi.org/10.22105/jfea.2022.312722.1165

Abstract
  The growing competition between fibre producing industry and the standards to which, it requires high quality standards. ABC company’s procurement department data shows N of number of defects in cellulose pulp sheet uncurl every month. Cellulose sheet is an important raw material in the fibre (Staple) ...  Read More

Neutrosophic sets and their variants
Neutrosophic soft matrices and its application in medical diagnosis

Mamoni Dhar

Volume 2, Issue 1 , March 2021, , Pages 23-32

https://doi.org/10.22105/jfea.2021.246237.1000

Abstract
  In real life situations, there are many issues in which we face uncertainties, vagueness, complexities and unpredictability. Neutrosophic sets are a mathematical tool to address some issues which cannot be met using the existing methods. Neutrosophic soft matrices play a crucial role in handling indeterminant ...  Read More

Neutrosophic sets and their variants
Application of transportation problem under pentagonal neutrosophic environment

Sapan Kumar Das

Volume 1, Issue 1 , March 2020, , Pages 27-40

https://doi.org/10.22105/jfea.2020.246633.1001

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 ...  Read More

Fuzzy sets and their variants
Application of the fuzzy inference system to evaluate the quality of air textured warp yarn

Umutgül Bulut; Eren Ozceylan

Volume 3, Issue 1 , March 2022, , Pages 31-44

https://doi.org/10.22105/jfea.2021.316204.1174

Abstract
  It has become one of the indispensable conditions to continuously improve the quality and achieve the quality standards in order to adapt to the increasingly competitive environment in the textile industry. However, the textile production process like many other industrial processes involves the interaction ...  Read More

Neutrosophic sets and their variants
Neutrosophication of statistical data in a study to assess the knowledge, attitude and symptoms on reproductive tract infection among women

Somen Debnath

Volume 2, Issue 1 , March 2021, , Pages 33-40

https://doi.org/10.22105/jfea.2021.272508.1073

Abstract
  Statistics mainly concerned with data that may be qualitative or quantitative. Earlier we have used the notion of statistics in the classical sense where we assign values that are crisp. But in reality, we find some areas where the crisp concept is not sufficient to solve the problem. So, it seems difficult ...  Read More

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

Alireza Marzband

Volume 1, Issue 1 , March 2020, , Pages 41-56

https://doi.org/10.22105/jfea.2020.248187.1006

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 ...  Read More

Type-2 fuzzy sets and their variants
Interval type-2 fuzzy logic system for remote vital signs monitoring and shock level prediction

Uduak Umoh; Samuel Udoh; Abdultaofeek Abayomi; Alimot Abdulzeez

Volume 2, Issue 1 , March 2021, , Pages 41-68

https://doi.org/10.22105/jfea.2021.255064.1028

Abstract
  Interval Type-2 Fuzzy Logic Systems (IT2 FLSs) have shown popularity, superiority, and more accuracy in performance in a number of applications in the last decade. This is due to its ability to cope with uncertainty and precisions adequately when compared with its type-1 counterpart. In this paper, an ...  Read More

Type-2 fuzzy sets and their variants
Modeling fuzzimetric cognition of technical analysis decisions: reducing emotional trading

Issam Kouatli

Volume 3, Issue 1 , March 2022, , Pages 45-63

https://doi.org/10.22105/jfea.2021.315178.1171

Abstract
  Stock traders' forecasting strategies are mainly dependent on Technical Analysis (TA) indicators. However, some traders would follow their intuition and emotional aspects when trading instead of following the mathematically solid forecasting techniques of TA(s). The objective of this paper is to help ...  Read More

Interval Arithmetic
Using interval arithmetic for providing a MADM approach

Hossein Jafari; Mohammad Ehsanifar

Volume 1, Issue 1 , March 2020, , Pages 57-65

https://doi.org/10.22105/jfea.2020.247946.1004

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 ...  Read More

Intuitionistic fuzzy sets and their variants
Hybrid intelligent parameter tuning approach for COVID-19 time series modeling and prediction

Imo Jeremiah Eyo; Olufemi Sunday Adeoye; Udoinyang Godwin Inyang; Ini John Umoeka

Volume 3, Issue 1 , March 2022, , Pages 64-80

https://doi.org/10.22105/jfea.2021.309332.1164

Abstract
  A novel hybrid intelligent approach for tuning the parameters of Interval Type-2 Intuitionistic Fuzzy Logic System (IT2IFLS) is introduced for the modeling and prediction of coronavirus disease 2019 (COVID-19) time series. COVID-19 is known to be a virus caused by Severe Acute Respiratory Syndrome Coronavirus ...  Read More

Fuzzy sets and their variants
Fuzzy logic in accounting and auditing

Mohsen Imeni

Volume 1, Issue 1 , March 2020, , Pages 66-72

https://doi.org/10.22105/jfea.2020.246647.1002

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 ...  Read More

Fuzzy sets and their variants
Evaluation and selection of supplier in supply chain with fuzzy analytical network process approach

Mohammad Ghasempoor Anaraki; Dmitriy S. Vladislav; Mahdi Karbasian; Natalja Osintsev; Victoria Nozick

Volume 2, Issue 1 , March 2021, , Pages 69-88

https://doi.org/10.22105/jfea.2021.274734.1078

Abstract
  One of the most important issues concerning the designing a supply chain is selecting the supplier. Selecting proper suppliers is one of the most crucial activities of an organization towards the gradual improvement and a promotion in performance. This intricacy is because suppliers fulfil a part of ...  Read More

Other
Efficiency study with undesirable inputs and outputs in DEA

Abbasali Monzeli; Behrouz Daneshian; Gasem Tohidi; Masud Sanei; Shabnam Razavian

Volume 1, Issue 1 , March 2020, , Pages 73-80

https://doi.org/10.22105/jfea.2020.248018.1005

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. ...  Read More