Retrieving the Missing Data From Incomplete Soft Set, Incomplete Fuzzy Soft Set and Incomplete Intuitionistic Fuzzy Soft Set

Julee Srivastava () and Sudhir Maddheshiya
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Julee Srivastava: Department of Mathematics and Statistics, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, Uttar Pradesh, India
Sudhir Maddheshiya: Department of Mathematics and Statistics, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, Uttar Pradesh, India

New Mathematics and Natural Computation (NMNC), 2022, vol. 18, issue 03, 919-929

Abstract: Dealing with an incomplete information has been a major issue in the theory of soft sets. In this paper, we have presented an approach to deal with incomplete soft set, incomplete fuzzy soft set and incomplete intuitionistic fuzzy soft set. For this purpose, we have introduced the notion of distance between two objects (parameters) which will be used to compute the degree of interdependence between them. This approach will use the full information of known data and the relationships between them. Data filling converts an incomplete soft set into a complete one which makes the soft sets applicable not only to decision making but also to other fields.

Keywords: Soft set; incomplete information system; fuzzy soft set; object parameter approach (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S1793005722500430

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