In decision-making scenarios, challenges often arise from closely knitted criteria or inherent
uncertainties. Such uncertainties prominently pervade the realm of sustainable energy …

Intuitionistic fuzzy set is a significance soft computing tool for curbing fuzziness embedded in
decision‐making processes. To enhance the applicability of intuitionistic fuzzy sets in …

Correlation coefficient is an essential measuring operator in an intuitionistic fuzzy
environment use in solving MCDM problems. In this paper, Xu et al.'s correlation coefficient …

To measure the difference of two fuzzy sets/intuitionistic sets, we can use the distance
measure and dissimilarity measure between fuzzy sets. Characterization of …

In this work, several types of intuitionistic fuzzy sets, inspired by Type-2 and Type-3
concepts, are introduced. In particular, the newly proposed interval Type-3 intuitionistic sets …

Correlation measure is a vital measuring operator with vast applications in decision-making.
On the other hand, intuitionistic fuzzy set (IFS) is very resourceful in soft computing to tackle …

Decision-making in a vague, undetermined and imprecise environment has been a great
issue in real-life problems. Many mathematical theories like fuzzy, intuitionistic and …

Intuitionistic fuzzy models are significant in resolving decision-making. Distance measures
under intuitionistic fuzzy environment are reliable techniques deployed to express the …

In this paper, a new approach to multi-variable fuzzy forecasting using picture fuzzy
clustering and picture fuzzy rule interpolation techniques is proposed. Firstly, we partition …

Intuitionistic fuzzy set is capable of handling uncertainty with counterpart falsities which exist
in nature. Proximity measure is a convenient way to demonstrate impractical significance of …