Research Paper Fuzzy sets and their variants
Prediction of human behavior with TOPSIS

Taraneh Javanbakht; Shivanjan Chakravorty

Volume 3, Issue 2 , June 2022, Pages 109-125

http://dx.doi.org/10.22105/jfea.2022.326185.1197

Abstract
  The present paper proposes a new application of the prediction of human behavior using TOPSIS as an appropriate tool for data optimization. Our hypothesis was that the analysis of the candidates with this method was influenced by the change of their behavior. We found that the behavior change could occur ...  Read More

Research Paper Z-numbers and their variants
Intuitive multiple centroid defuzzification of intuitionistic Z-numbers

Nik Muhammad Farhan Hakim Nik Badrul Alam; Ku Muhammad Naim Ku Khalif; Nor Izzati Jaini; Ahmad Syafadhli Abu Bakar; Lazim Abdullah

Volume 3, Issue 2 , June 2022, Pages 126-139

http://dx.doi.org/10.22105/jfea.2022.315297.1173

Abstract
  In fuzzy decision-making, incomplete information always leads to uncertain and partially reliable judgements. The emergence of fuzzy set theory helps decision-makers in handling uncertainty and vagueness when making judgements. Intuitionistic Fuzzy Numbers (IFN) measure the degree of uncertainty better ...  Read More

Review Paper Fermatean fuzzy sets and their variants
Fermatean fuzzy modified composite relation and its application in pattern recognition

Paul Augustine Ejegwa; Doonen Zuakwagh

Volume 3, Issue 2 , June 2022, Pages 140-151

http://dx.doi.org/10.22105/jfea.2022.335251.1210

Abstract
  Fermatean Fuzzy Sets (FFSs) provide an effective way to handle uncertainty and vagueness by expanding the scope of membership and Non-Membership Degrees (NMDs) of Intuitionistic Fuzzy Set (IFS) and Pythagorean Fuzzy Set (PFS), respectively. FFS handles uncertain information more easily in the process ...  Read More

Research Paper Soft sets and their variants
A hybrid method for the assessment of analogical reasoning skills

Michael Voskoglou; Said Broumi

Volume 3, Issue 2 , June 2022, Pages 152-157

http://dx.doi.org/10.22105/jfea.2022.342139.1220

Abstract
  Much of a person’s cognitive activity depends on the ability to reason analogically. Analogical reasoning (AR) compares the similarities between new and past knowledge and uses them to obtain an understanding of the new knowledge. The mechanisms, however, under which the human mind works are not ...  Read More

Research Paper Type-2 fuzzy sets and their variants
Type-2 fuzzy logic controller design optimization using the PSO approach for ECG prediction

Mahmut Dirik

Volume 3, Issue 2 , June 2022, Pages 158-168

http://dx.doi.org/10.22105/jfea.2022.333786.1207

Abstract
  In this study, a hybrid model for prediction issues based on IT2FLS and Particle Swarm Optimization (PSO) is proposed. The main contribution of this work is to discover the ideal strategy for creating an optimal value vector to optimize the membership function of the fuzzy controller. It should be emphasized ...  Read More

Research Paper Fuzzy sets and their variants
A novel method for solving multi- objective linear fractional programming problem under uncertainty

Ibrahim Mohamed Mekawy

Volume 3, Issue 2 , June 2022, Pages 169-176

http://dx.doi.org/10.22105/jfea.2022.331180.1206

Abstract
  This paper deals with a multi-objective linear fractional programming problem in fuzzy environment. The problem is considered by introducing all the parameters as piecewise quadratic fuzzy numbers. Through the use of the associated real number of the close interval approximation and the order relation ...  Read More

Research Paper Fuzzy sets and their variants
Machine efficiency measurement in industry 4.0 using fuzzy data envelopment analysis

Irem Ucal Sari; Umut Ak

Volume 3, Issue 2 , June 2022

http://dx.doi.org/10.22105/jfea.2022.326644.1199

Abstract
  Industry 4.0 implementations are competitive tools of recent production systems in which complex computerized systems are employed. Efficiency of these systems is generally measured by Data Envelopment Analysis (DEA) under certainty. However, the required data in modelling the system involve high degree ...  Read More