permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notions of core, support, and inversion of a soft set have been defined and studied. Soft approximations are soft sets developed through core and support and are used for granulating the soft space. Membership structure of a soft set has been probed in and many interesting properties are presented. We present a new conjecture to solve an optimum choice problem. Our Example 31 presents a case where the new conjecture solves the problem correctly. 1
The ES structure described by soft subsets or soft M-subsets does not yield a lattice structure due ...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
AbstractMolodtsov’s soft set theory was originally proposed as a general mathematical tool for deali...
Rough set was defined by Pawlak in 1982. Concept of soft set was proposed as a mathematical tool to ...
AbstractMolodtsov’s soft set theory was originally proposed as a general mathematical tool for deali...
In this study, we firstly present definitions and properties in study of Maji on neutrosophic soft ...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
Abstract: Problem statement: In 1999 Molodtsov introduced the concept of a soft set as a general mat...
We firstly present definitions and properties in study of Maji on neutrosophic soft sets. We then gi...
Many researchers in artificial intelligence are beginning to explore the use of soft con-straints to...
In this paper, a decision model based on a fuzzy soft set and ideal solution approaches is proposed....
Previous studies introduced the concepts of bijective soft sets and bijective fuzzy soft sets as the...
AbstractIn this work, we define soft matrices and their operations which are more functional to make...
The ES structure described by soft subsets or soft M-subsets does not yield a lattice structure due ...
The ES structure described by soft subsets or soft M-subsets does not yield a lattice structure due ...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
AbstractMolodtsov’s soft set theory was originally proposed as a general mathematical tool for deali...
Rough set was defined by Pawlak in 1982. Concept of soft set was proposed as a mathematical tool to ...
AbstractMolodtsov’s soft set theory was originally proposed as a general mathematical tool for deali...
In this study, we firstly present definitions and properties in study of Maji on neutrosophic soft ...
AbstractIn this paper, we focus our discussion on the parameterization reduction of soft sets and it...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
Abstract: Problem statement: In 1999 Molodtsov introduced the concept of a soft set as a general mat...
We firstly present definitions and properties in study of Maji on neutrosophic soft sets. We then gi...
Many researchers in artificial intelligence are beginning to explore the use of soft con-straints to...
In this paper, a decision model based on a fuzzy soft set and ideal solution approaches is proposed....
Previous studies introduced the concepts of bijective soft sets and bijective fuzzy soft sets as the...
AbstractIn this work, we define soft matrices and their operations which are more functional to make...
The ES structure described by soft subsets or soft M-subsets does not yield a lattice structure due ...
The ES structure described by soft subsets or soft M-subsets does not yield a lattice structure due ...
AbstractIn this paper, we apply the theory of soft sets to solve a decision making problem using rou...
AbstractMolodtsov’s soft set theory was originally proposed as a general mathematical tool for deali...