Abstract The complex q-rung orthopair fuzzy (CQ-ROF) set can describe the uncertain information. In this manuscript, we develop Yager operational laws based on CQ-ROF information and t-norm t-conorm. Furthermore, in aggregating values, power, averaging, geometric aggregation operators have played a very essential critical role environment of set. Inspired from discussed operators, propose power...

High-technology projects are known as tools that help achieving productive forces through scientific and technological knowledge. These knowledge-based projects are associated with high levels of risks and returns. The process of high-technology project and project portfolio selection has technical complexities and uncertainties. This paper presents a novel two-parted method of high-technology ...

This paper generalizes results of research and experience in the use of fuzzy set theory for handling and overcoming various forms of uncertainty in the design, planning, and control of complex systems. Approaches to solving fundamental problems associated with constructing fuzzy estimates of uncertain parameters, comparing alternatives, developing basic principles and concrete methods of decis...

We first propose the normal Pythagorean neutrosophic set (NPNS) in this paper, which synthesizes distribution of incompleteness, indeterminacy, and inconsistency (PNS) fuzzy number. also define some properties NPNS. For solving decision-making problem non-strictly independent interacting attributes, two kinds NPNS Choquet integral operators are proposed. First, average (NPNSCIA) operator geomet...

This paper aims to apply the concept of rough sets Pythagorean fuzzy in UP-algebras. Then we introduce fifteen types UP-algebras and study their generalization. In addition, will also discuss $t$-level subsets relationships between

Abstract In this paper, the concept of complex linear Diophantine fuzzy set (CLDFS), which is obtained by integrating phase term into structure (LDFS) and thus an extension LDFS, introduced. other words, ranges grades membership, non-membership, reference parameters in LDFS are extended from interval [0, 1] to unit circle plane. Besides, approach proposed remove conditions associated with compl...

Type-2 fuzzy sets and complex fuzzy sets are both three dimensional extensions of type-1 fuzzy sets. Complex fuzzy sets come in two forms, the standard form, postulated in 2002 by Ramot et al., and the 2011 innovation of pure complex fuzzy sets, proposed by Tamir et al.. In this paper we compare and contrast both forms of complex fuzzy set with type-2 fuzzy sets, as regards their rationales, ap...