Distance measures and -approximations with rough complex fuzzy models
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 …
uncertainty without additional information and suppositions. Complex fuzzy sets are useful in …
Einstein geometric aggregation operators using a novel complex interval-valued pythagorean fuzzy setting with application in green supplier chain management
The principle of a complex interval-valued Pythagorean fuzzy set (CIVPFS) is a valuable
procedure to manage inconsistent and awkward information genuine life troubles. The …
procedure to manage inconsistent and awkward information genuine life troubles. The …
Group decision-making based on complex spherical fuzzy VIKOR approach
The main objective of this study is to set up the foundations of a new model, namely,
complex spherical fuzzy (CSF) model that is highly proficient to express the two dimensional …
complex spherical fuzzy (CSF) model that is highly proficient to express the two dimensional …
A complex weighted discounting multisource information fusion with its application in pattern classification
Complex evidence theory (CET) is an effective method for uncertainty reasoning in
knowledge-based systems with good interpretability that has recently attracted much …
knowledge-based systems with good interpretability that has recently attracted much …
[書籍][B] Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond: Second volume
T Fujita, F Smarandache - 2024 - books.google.com
The second volume of “Advancing Uncertain Combinatorics through Graphization,
Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” …
Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” …
Complex fermatean neutrosophic graph and application to decision making
A new growing area of neutrosophic set (NS) theory called complex neutrosophic sets
(CNS) provides useful tools for dealing with uncertainty in complex valued physical …
(CNS) provides useful tools for dealing with uncertainty in complex valued physical …
TOPSIS method based on complex spherical fuzzy sets with Bonferroni mean operators
The theory of complex spherical fuzzy sets (CSFSs) is a mixture of two theories, ie, complex
fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable …
fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable …
Multiple attribute decision-making approach for Pythagorean neutrosophic normal interval-valued fuzzy aggregation operators
We present a communication which deals with some new methods to solve multiple attribute
decision-making (MADM) problems based on Pythagorean neutrosophic normal interval …
decision-making (MADM) problems based on Pythagorean neutrosophic normal interval …
A new ELECTRE-based method for group decision-making with complex spherical fuzzy information
This study exploits the tremendous theory of ELimination and Choice Expressing REality
(ELECTRE) method to enhance the number of outranking approaches for the ground …
(ELECTRE) method to enhance the number of outranking approaches for the ground …
Extension of TOPSIS model to the decision-making under complex spherical fuzzy information
This research article is devoted to present a decision-making approach pertaining the
excellent tendencies of traditional TOPSIS method under the broader environment of …
excellent tendencies of traditional TOPSIS method under the broader environment of …