Intuitionistic fuzzy sets are the most widely used fuzzy set extension in the literature. It is a
fuzzy set extension in which decision makers specify the degree of membership of the …

The objective of this work is to discuss a novel nonlinear-programming (NLP) models based
on the “Technique for Order Preference with respect to the Similarity to the Ideal Solution …

Due to the huge applications of fuzzy set theory, many generalizations were available in
literature. Atanassov (1983) and Atanassov and Gargov (1989) introduced the notions of …

Intuitionistic fuzzy sets is one of the successful extensions of the fuzzy set to deal with the
data, where the information is vague, imprecise, or insufficient during the decision-making …

Fuzzy sets extend deterministic multi-criteria decision-making (MCDM) methods to deal with
uncertainty and imprecision in decision making. Over the years, many generalizations have …

Intuitionistic Fuzzy Sets with Ordered Pairs (IFSOP) are the recent extension of intuitionistic
fuzzy sets by incorporating functional and dysfunctional points of view into the definition of …

This article presents a useful method for relating anchor dependency and accuracy functions
to multiple attribute decision-making (MADM) problems in the context of Atanassov …

The theory of fuzzy sets [1] proposed by Zadeh has achieved a great success in various
fields. Out of several higher order fuzzy sets, the concept of an intuitionistic fuzzy set (IFS) …

The notion of Intuitionistic Fuzzy Set (IFS for short) theory by Krassimir Atanassov strikes a
paradigm shift in solving decision making problems, which is one of the crucial problems in …

Complex intuitionistic fuzzy set (CIFS) is a distinctive intuitionistic fuzzy set (IFS) in which the
membership degrees are determined on the unit disc of the complex plane and can more …