A fuzzy soft set theoretic approach to decision making problems

By Akhil Ranjan Roy, Pabitra Kumar Maji. 2007

1,020 citations recorded by the source corpus.

The problem of decision making in an imprecise environment has found paramount importance in recent years. A novel method of object recognition from an imprecise multiobserver data has been presented here. The method involves construction of a Comparison Table from a fuzzy soft set in a parametric sense for decision making.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/0559c4149adf795553112ec4abbea8bd224a5cfa

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In Computational Theory and Mathematics

In Management Science and Operations Research

Citations in the corpus

Soft matrix theory and its decision making (2010, background): “Roy andMaji [23] presented some results on an application of fuzzy soft sets in decisionmaking problems.”
An introduction to fuzzy soft topological spaces (2015, background): “Soft set and fuzzy soft set theories have a rich potential for applications in several directions, a few of which have been shown by some authors [15, 18].”
MEANS OF FP-SOFT SETS AND THEIR APPLICATIONS (2012, background): “For instance; on the theory of soft sets [2, 4, 5, 9, 17, 20, 21, 25], on soft decision making [13, 14, 15, 18, 19, 24], on fuzzy soft sets [7, 10, 11], soft rough sets [13] are some of the selected works.”
Soft sets combined with fuzzy sets and rough sets: a tentative approach (2010, background): “Definition 12 (Roy and Maji 2007) Let FðUÞ be the set of all fuzzy sets in U.”
Vague soft sets and their properties (2010, background): “Now we will demonstrate using an example and then provide a theoretical proof that the first part of this proposition by Maji et al. is not correct as a consequence of following the inappropriate definition for the intersection of two soft sets given in [10].”
Soft Multisets Theory (2011, background): “Furthermore Maji et al. [3] presented the definition of fuzzy soft set and Roy and Maji [7] presented the applications of this notion to decision making problems.”
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques (2021, background): “a) Soft Set [48]: If U is the universal set and S is its parameter, then U be P(U) and X will be the subset of S, for example, X ⊂ S.”
Soft sets and soft rough sets (2011, methodology): “[26] Let FðUÞ be the set of all fuzzy sets in the universe U.”
A Novel Approach towards Bipolar Soft Sets and Their Applications (2020, background): “Roy and Maji [27] toiled on fuzzy soft set theoretic approach to decision-making problems.”
Products of FP-Soft Sets and their Applications (2012, neutral): “[6, 10, 13, 16, 19, 21, 22]).”
Soft Sets and Soft BCH-Algebras (2010, neutral): “[22].”
FUZZY SOFT SET THEORY AND ITS APPLICATIONS (2011, background): “The operations of the fs-sets and soft sets defined by Maji et al. [18, 20] are used in all the works mentioned above.”