Analysis and application of Aczel-Alsina aggregation operators based on bipolar complex fuzzy information in multiple attribute decision making
Bipolar complex fuzzy information is a new idea that can easily depict awkward and vague
information in real life problems. The main theory of the bipolar complex fuzzy set is the …
information in real life problems. The main theory of the bipolar complex fuzzy set is the …
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 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 …
Complex intuitionistic fuzzy Aczel-Alsina aggregation operators and their application in multi-attribute decision-making
To handle complex, risk-illustrating, and asymmetric information, the theory discussed in this
analysis is much more suitable for evaluating the above dilemmas. To manage ambiguity …
analysis is much more suitable for evaluating the above dilemmas. To manage ambiguity …
Multi-attribute group decision making based on cubic bipolar fuzzy information using averaging aggregation operators
A huge range of human decisions is involved bipolar subjective thoughts. For illustration,
effects and side effects are two different aspects of decision analysis. The equilibrium and …
effects and side effects are two different aspects of decision analysis. The equilibrium and …
Interval-valued Pythagorean fuzzy information aggregation based on Aczel-Alsina operations and their application in multiple attribute decision making
Multi-attribute decision-making (MADM) technique has been widely utilized in many
domains, including management, economics, and other disciplines. It plays a significant role …
domains, including management, economics, and other disciplines. It plays a significant role …
q-rung orthopair fuzzy Aczel–Alsina aggregation operators with multi-criteria decision-making
Abstract q-rung orthopair fuzzy sets (q-ROFSs) are advantageous for accurately expressing
the preferences of decision-makers (DMs) due to their membership and non-membership …
the preferences of decision-makers (DMs) due to their membership and non-membership …
Cubic bipolar fuzzy ordered weighted geometric aggregation operators and their application using internal and external cubic bipolar fuzzy data
In the present study, we discuss the concept of internal cubic bipolar fuzzy (ICBF) sets and
external cubic bipolar fuzzy (ECBF) sets. We also discuss some properties of ICBF-sets and …
external cubic bipolar fuzzy (ECBF) sets. We also discuss some properties of ICBF-sets and …
Bipolar fuzzy Dombi prioritized aggregation operators in multiple attribute decision making
In this article, used Dombi t-norm (TN) and t-conorm (TCN) which can generate more
complex and more flexible operation rules by adjusting a parameter to combine with …
complex and more flexible operation rules by adjusting a parameter to combine with …
Bipolar fuzzy Hamacher aggregation operators in multiple attribute decision making
In this paper, we have investigated the multiple attribute decision-making problems with
bipolar fuzzy information. Motivated by the Hamacher operations, we have proposed bipolar …
bipolar fuzzy information. Motivated by the Hamacher operations, we have proposed bipolar …