The purpose of this chapter is to present an overview of neutrosophic sets. Professor
Florentin Smarandache defined the neutrosophic set and helped popularize the concept to …

Many fields deal with uncertain data. Classical mathematical tools are unable to solve
uncertain data in many situations. There are several theories, viz., the theory of probability …

In this research, we present neutrosophic decision-making, which is an extension of the
classical decisionmaking process by expanding the data to cover the non-specific cases …

Many researchers have created some models based on soft set, to solve problems in
decision makingand medical diagnosis, but most of these models deal only with one expert …

In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The
concept of NSEMs is introduced. Several operations have been defined for them and their …

Many multi-attribute group decision-making (MAGDM) strategies have been introduced in
the literature to deal with decision-making problems in uncertain environment. Many of them …

The aim of this paper is to introduce a new distance-based similarity measure for refined
neutrosophic sets. The properties of the proposed new distance-based similarity measure …

This chapter defines the concept of neutrosophic soft expert graph. The authors have
established a link between graphs and neutrosophic soft expert sets. Basic operations of …

In this study, a new similarity measure for single valued neutrosophic numbers is defined. It
is shown that this new similarity measure satisfies the conditions of similarity measure. This …

Q-neutrosophic soft sets are essentially neutrosophic soft sets characterized by three
independent two-dimensional membership functions which stand for uncertainty …