In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Rough set theory is a key approach to model and apprehend the situations involving
uncertainty without additional information and suppositions. Complex fuzzy sets are useful in …

Orthopairs (pairs of disjoint sets) have points in common with many approaches to
managing vaguness/uncertainty such as fuzzy sets, rough sets, soft sets, etc. Indeed, they …

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In this paper, we define the notion of a mapping on soft classes and study several properties
of images and inverse images of soft sets supported by examples and counterexamples …

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Fuzzy parameterized fuzzy soft set theory and its applications Page 1 TJFS: Turkish Journal of
Fuzzy Systems (eISSN: 1309–1190) An Official Journal of Turkish Fuzzy Systems Association …

In this study, we discuss the fundamentals of hypersoft set such as hypersoft subset,
complement, not hypersoft set and aggregation operators. After that we discuss the hypersoft …

The purpose of this paper is to define the concept of (3, 2)‐fuzzy sets and discuss their
relationship with other kinds of fuzzy sets. We describe some of the basic set operations on …

In this article, we combine the concept of a bipolar fuzzy set and a soft set. We introduce the
notion of bipolar fuzzy soft set and study fundamental properties. We study basic operations …