A systematic literature review of soft set theory
Soft set theory, initially introduced through the seminal article “Soft set theory—First results”
in 1999, has gained considerable attention in the field of mathematical modeling and …
in 1999, has gained considerable attention in the field of mathematical modeling and …
Bipolar complex fuzzy soft sets and their applications in decision-making
This article introduces the notion of bipolar complex fuzzy soft set as a generalization of
bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary …
bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary …
Multi-attribute decision-making method based on bipolar complex fuzzy Maclaurin symmetric mean operators
The framework of prevailing Maclaurin symmetric mean (MSM) operator is the modified tool
of the traditional aggregation function is a massive significant and influential, used for …
of the traditional aggregation function is a massive significant and influential, used for …
A method to multi-attribute decision making technique based on Dombi aggregation operators under bipolar complex fuzzy information
Bipolar complex fuzzy (BCF) is one of the massive, important, and dominant technique,
which has been used for managing awkward and inconsistent information in genuine life …
which has been used for managing awkward and inconsistent information in genuine life …
[書籍][B] Uncertain labeling graphs and uncertain graph classes (with survey for various uncertain sets)
T Fujita, F Smarandache - 2024 - books.google.com
Graph theory, a branch of mathematics, studies the relationships between entities using
vertices and edges. Uncertain Graph Theory has emerged within this field to model the …
vertices and edges. Uncertain Graph Theory has emerged within this field to model the …
[HTML][HTML] An integrated ELECTRE method for selection of rehabilitation center with m-polar fuzzy N-soft information
The primary goal of this research article is to apply ELECTRE I, a fundamental multi-criteria
group decision-making technique, in an m-polar fuzzy N-soft environment. This new …
group decision-making technique, in an m-polar fuzzy N-soft environment. This new …
Bipolar complex fuzzy Hamacher aggregation operators and their applications in multi-attribute decision making
On the basis of Hamacher operations, in this manuscript, we interpret bipolar complex fuzzy
Hamacher weighted average (BCFHWA) operator, bipolar complex fuzzy Hamacher ordered …
Hamacher weighted average (BCFHWA) operator, bipolar complex fuzzy Hamacher ordered …
A robust hybrid decision making model for human-computer interaction in the environment of bipolar complex picture fuzzy soft sets
The goal of this paper is to present novel concepts and effective theories for the ability to
accurately represent difficult and ambiguous information in real-life problems. In order to …
accurately represent difficult and ambiguous information in real-life problems. In order to …
The generalized dice similarity measures for bipolar complex fuzzy set and its applications to pattern recognition and medical diagnosis
The bipolar complex fuzzy set (BCFS) is a novel approach that can easily represent
ambiguous and difficult information in real-life dilemmas. The primary notion of BCFS is the …
ambiguous and difficult information in real-life dilemmas. The primary notion of BCFS is the …
Ranked soft sets
This article defines ranked soft sets and establishes their fundamental theory. This new
model of uncertain knowledge is a non‐numerical yet powerful improvement of soft sets. The …
model of uncertain knowledge is a non‐numerical yet powerful improvement of soft sets. The …