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

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

http://dx.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

Fuzzy sets and their variants
An overview of portfolio optimization using fuzzy data envelopment analysis models

Mehrdad Rasoulzadeh; Mohammad Fallah

Volume 1, Issue 3 , September 2020, , Pages 180-188

http://dx.doi.org/10.22105/jfea.2020.255034.1027

Abstract
  A combination of projects, assets, programs, and other components put together in a set is called a portfolio. Arranging these components helps to facilitate the efficient management of the set and subsequently leads to achieving the strategic goals. Generally, the components of the portfolio are quantifiable ...  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

http://dx.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