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A Review on Soft Set-Based Theories Relevant to Decision Making in Computer Science

The problems of today's real world decision making are mostly associated with an element of uncertainty. The soft set theory is a flexible mathematical tool that handles uncertainty, impreciseness, and vagueness in solving decision making problems. The applications span across different domains such as engineering, medical diagnosis, economics etc. In this paper, we present a review on soft sets and its hybrids related to applications in computer science. Researchers can benefit from this review to explore possible avenues of research by application of efficient and innovative methods.