On Applications of Fuzzy Soft Sets in Dimension Reduction and Medical Diagnosis

D. S. Hooda *

Department of Mathematics, GJ University of Science and Technology, Hisar -25001, India

Reetu Kumari

Department of Mathematics, Jaypee University of Engineering and Technology, A.B. Road, Raghogarh, Guna-473226, India

*Author to whom correspondence should be addressed.


In our daily life, we often come across various problems related to the high dimensionality of data. In such type of problems irrelevant and superfluous data along with useful data is also present. Thus, dimensionality reduction has found wide applications in data analysis and management. In recent years the issue of dimensionality reduction in a fuzzy situation has also gained importance and has invited attention of researchers. The various techniques and theories have been developed by them to solve these types of problems. Some of these techniques based on probabilistic approach and others are non-probabilistic approach.

For finding coherent and logical solution to various real life problems containing uncertainty, impreciseness and vagueness, fuzzy soft set theory is gaining significance. In this paper concept of fuzzy soft set has been defined as hybridization of fuzzy set and soft set theory. A new technique is proposed to convert the soft set table into fuzzy soft set table and has been applied in dimension reduction of big data.  An application of fuzzy soft set has also studied in Medical Diagnosis following Sanchez’s approach.


Keywords: Soft set, fuzzy set, fuzzy soft set, dimensionality reduction, medical diagnosis

How to Cite

S. Hooda, D., & Kumari, R. (2017). On Applications of Fuzzy Soft Sets in Dimension Reduction and Medical Diagnosis. Advances in Research, 12(2), 1–9. https://doi.org/10.9734/AIR/2017/36960