Complex fuzzy sets and logic are an extension of type-1 fuzzy sets wherein memberships
may be complex-valued. This has been an area of growing research focus in the fuzzy …

Rough set theory is a key approach to model and apprehend the situations involving
uncertainty without additional information and suppositions. Complex fuzzy sets are useful in …

Complex fuzzy sets and complex intuitionistic fuzzy sets cannot handle imprecise,
indeterminate, inconsistent, and incomplete information of periodic nature. To overcome this …

The paper aims are to propose a new concept called as complex picture fuzzy set (CPFS),
as an extension of complex intuitionistic fuzzy set (CIFS). The addition of a neutral …

In this manuscript, the notions of q-rung orthopair fuzzy sets (q-ROFSs) and complex fuzzy
sets (CFSs) are combined is to propose the complex q-rung orthopair fuzzy sets (Cq-ROFSs) …

Data clustering is an instrumental tool in the area of energy management resources,
marketing, and business. Clustering helps to increase productivity, facilitate decision …

This paper presents a new concept of complex intuitionistic fuzzy set (CIFS) which is
generalized from the innovative concept of a complex fuzzy set (CFS) by adding the non …

Complex fuzzy logic is a new multivalued logic system that has emerged in the last decade.
At this time, there are a limited number of known instances of complex fuzzy logic, and only a …

In the last few years, intelligent industrial systems and consumer electronics are being
developed extensively and broadly. Fuzzy logic and fuzzy techniques that integrate these …

We introduce the concept of complex intuitionistic fuzzy soft sets which is parametric in
nature. However, the theory of complex fuzzy sets and complex intuitionistic fuzzy sets are …