Scientific progression has allowed researchers to develop novel and innovative ways deal with uncertainty in data, allowing for the development of more precise accurate data representation models. This paper aims extend an already reported concept Cubic Pythagorean fuzzy set Fuzzy Soft Set (CPFSs) as it incorporates both interval-valued sets (IVPFS) (PFS) at same time, providing a targeted appr...

Abstract As a more massive feasible and prominent tool than the complex interval-valued Pythagorean fuzzy (CIVPF) set intuitionistic (CIVIF) set, q-rung orthopair (CIVQROF) has been usually used to represent ambiguity vagueness for real-life decision-making problems. In this paper, we firstly proposed some distance measures, Yager operational laws, their comparison method. Further, developed CI...

in this paper, we introduce  the notions of   interval-valued and $(in,ivq)$-interval-valued fuzzy ($p$-,$q$- and $a$-) ideals    of   bci algebras   and investigate some of their properties.   we then derive characterization theorems for these generalized interval-valued fuzzy ideals  and discuss their relationship.

Interval-valued intuitionistic fuzzy sets (IVIFSs) are widely used to handle uncertainty and imprecision in decision making. However, in more complicated environment, it is difficult to express the uncertain information by an IVIFS with considering the decision-making preference. Hence, this paper proposes a group generalized interval-valued intuitionistic fuzzy soft set (G-GIVIFSS) which conta...

The interval-valued intuitionistic fuzzy set (IVIFS) which is an extension of the Atanassov’s intuitionistic fuzzy set is a powerful tool for modeling real life decision making problems. In this paper, we propose the emph{generalized interval-valued intuitionistic fuzzy Hamacher generalized Shapley Choquet integral} (GIVIFHGSCI) and the emph{interval-valued intuitionistic fuzzy Hamacher general...

In this study, ?-interval valued set is defined whose elements are closed sub-intervals including ? of unit interval that I = [0, 1]. With different order relation on set, the properties examined. By help relation, it shown complete lattice. Negation function given in to study theoretical set. means discussions fundamental features studied. fuzzy sets defined. The algebraic these level subsets ...