In 1999, Molodtsov [5] introduced the soft set theory as a general
mathematical tool for dealing with uncertainty or vagueness. There are many
theories like Fuzzy set theory and Rough set theory to tackle the problem of
imperfect knowledge. Soft set theory is still a better approach to deal with
problems involving uncertainty. Molodtsov recognized the importance of the role
of parameters and introduced the theory of Soft sets. He has shown several
applications of this theory in many fields like economics, engineering, medical
sciences, etc. Later, this theory became a very good source of research for many
mathematicians and computer scientists of recent years because of its wide range
of applicability. The development in the fields of soft set theory and its
application has been taking place in a rapid pace.
The notion of soft groups is a branch of soft set theory and it was first
introduce by Aktas and Cagman [1] in 2007. Later, some authors like Yin and Liao
80 K. Moinuddin and D. Madhusudana Rao
[6] have studied various properties of soft groups. The soft group theory has
applications in the theory of computer science.
In this present work, we assign a group structure to the universe set X and
introduce some soft group theoretical concepts like soft subgroup, soft normal
subgroup, soft cyclic subgroup etc., in a different approach. We investigate
some interesting results in this context.