What is it about?
In the present communication, we study the application of fuzzy soft matrix in data dimension reduction by geometric mean approach. Geometric mean method for interval valued fuzzy soft matrix is also described. An alternative method to study Sanchez’s approach for medical diagnosis through geometric mean of interval valued fuzzy soft matrix is proposed and studied.
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Why is it important?
In decision making problems several techniques have been used by the researchers. They focused on the use of fuzzy matrices and fuzzy soft matrices in decision making problems. The use of fuzzy set, soft set and fuzzy soft set have been made in handling imprecise information. However,, matrices are also the important tools to handle such problems
Perspectives
Fuzzy soft set theory is being applied to many theoretical and practical fields. In present paper we define fuzzy soft matrix and interval valued fuzzy soft matrix which are respectively the matrix representation of fuzzy soft set and interval valued fuzzy soft set. Further, we apply fuzzy soft matrix in data dimension reduction using geometric mean method and illustrate with an example. We also define the application of interval valued fuzzy soft matrix and study its application in medical diagnosis by geometric mean method which is a new technique, different from Meenakshi and Kaliraja [10]’s method. The research findings in this paper can be further extended to intuitionistic fuzzy soft matrix and interval valued fuzzy soft matrix.
Prof. D S Hooda
Guru Jambheshwar University of Science and Technology
Read the Original
This page is a summary of: Application of fuzzy soft and interval valued fuzzy soft matrices in dimension reduction and medical diagnosis by geometric mean approach, Journal of Information and Optimization Sciences, March 2021, Taylor & Francis,
DOI: 10.1080/02522667.2020.1823684.
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