Javascript must be enabled to continue!
A novel decision-making approach based on sine trigonometric cubic Pythagorean fuzzy aggregation operators
View through CrossRef
Abstract
The objective of this study is to imitate several efficient sine-trigonometric operational laws to handle the decision-making process under the cubic Pythagorean fuzzy set environment. The sine-trigonometric function provides the periodicity and symmetry of the origin in nature and satisfies the potentials of decision-makers over the considerations of the decision-making process. keeping the advantages of the sine function and the significance of the cubic Pythagorean fuzzy set, we demonstrate the novel sine trigonometric operational laws under the cubic Pythagorean fuzzy environment. Based on these operational laws, novel sine trigonometric cubic Pythagorean fuzzy aggregation operators are developed. This study mainly focuses on a decision-making approach for multi-criteria decision-making problems that is based on proposed aggregation operators with given weight information of the criterion. Lastly, to demonstrate the efficiency, an illustration is presented. Sensitivity and comparison analyses are used to evaluate the method’s permanency and rationality.
Title: A novel decision-making approach based on sine trigonometric cubic Pythagorean fuzzy aggregation operators
Description:
Abstract
The objective of this study is to imitate several efficient sine-trigonometric operational laws to handle the decision-making process under the cubic Pythagorean fuzzy set environment.
The sine-trigonometric function provides the periodicity and symmetry of the origin in nature and satisfies the potentials of decision-makers over the considerations of the decision-making process.
keeping the advantages of the sine function and the significance of the cubic Pythagorean fuzzy set, we demonstrate the novel sine trigonometric operational laws under the cubic Pythagorean fuzzy environment.
Based on these operational laws, novel sine trigonometric cubic Pythagorean fuzzy aggregation operators are developed.
This study mainly focuses on a decision-making approach for multi-criteria decision-making problems that is based on proposed aggregation operators with given weight information of the criterion.
Lastly, to demonstrate the efficiency, an illustration is presented.
Sensitivity and comparison analyses are used to evaluate the method’s permanency and rationality.
Related Results
Multiple Attribute Trigonometric Decision-making and
its Application to the Selection of Engineers
Multiple Attribute Trigonometric Decision-making and
its Application to the Selection of Engineers
Abstract
It is concerned with a new method for solving multiple attribute decision-making (MADM) problems under sine trigonometric Pythagorean neutrosophic normal interval-...
Dual Hesitant Pythagorean Fuzzy Heronian Mean Operators in Multiple Attribute Decision Making
Dual Hesitant Pythagorean Fuzzy Heronian Mean Operators in Multiple Attribute Decision Making
On account of the indeterminacy and subjectivity of decision makers (DMs) in complexity decision-making environments, the evaluation information over alternatives presented by DMs ...
Autonomy on Trial
Autonomy on Trial
Photo by CHUTTERSNAP on Unsplash
Abstract
This paper critically examines how US bioethics and health law conceptualize patient autonomy, contrasting the rights-based, individualist...
A new (p, q)− rung orthopair fuzzy SIR method with a multi-criteria decision making approach
A new (p, q)− rung orthopair fuzzy SIR method with a multi-criteria decision making approach
Abstract
In comparison to Fermatean, Pythagorean, and intuitionistic fuzzy sets, (p; q)—rung orthopair fuzzy sets have a wider range of displaying membership grades and can...
Protraction of Einstein operators for decision-making under q-rung orthopair fuzzy model
Protraction of Einstein operators for decision-making under q-rung orthopair fuzzy model
An q-rung orthopair fuzzy set is a generalized structure that covers the modern extensions of fuzzy set, including intuitionistic fuzzy set and Pythagorean fuzzy set, with an adjus...
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings
Background Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalis...
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson
Abstract. Fuzzy Inference System requires several stages to get the output, 1) formation of fuzzy sets, 2) formation of rules, 3) application of implication functions, 4) compositi...
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Generated Fuzzy Quasi-ideals in Ternary Semigroups
Here in this paper, we provide characterizations of fuzzy quasi-ideal in terms of level and strong level subsets. Along with it, we provide expression for the generated fuzzy quasi...

