The real world has a lot of different aspects which are not usually been specified. In different fields of knowledge like engineering, medical science, mathematics, physics, computer science and artificial intelligence, many problems are simplified by constructing their "models". These models are very complicated and it is impossible to find the exact solutions in many occasions. Therefore, the...

In this paper, we have firstly redefined the notion of neutrosophic soft set and its operations in a new way to handle the indeterminate information and inconsistent information which exists commonly in belief systems. Then, we defined neutrosophic soft matrix and their operators which are more functional to make theoretical studies and application in the neutrosophic soft set theory. The matri...

The aim of this paper is to introduce the new concept quadri partitioned neutrosophic soft set and discussed some its properties.And focus propose a notion study basic operations results in set. Further we develop systematic on obtain various properties induced by them. Some equivalent characterization inter-relations among them are with counter example.

Soft set theory provides a parameterized treatment of uncertainty, which is closely related to soft computing models like fuzzy sets and rough sets. Based on soft sets and logical formulas over them, this study aims to present a new approach for revealing the causal relationship between values of attributes in an information system. The main procedure of our new method is as follows: First, we ...

Similarity Measure is a very important problem in Fuzzy Soft Set theory. In this paper, we have applied the notion of Distance and Similarity measures between two fuzzy soft set. First we discussed Decision making problem using fuzzy soft set based real life problems. Finally the similarity measures of normalized Hamming distance and normalized Euclidean distance have been applied to the proble...