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Complex Fermatean fuzzy extended TOPSIS method and its applications in decision making
The fuzzy set has its own limitations due to the membership function only. The fuzzy set does
not describe the negative aspects of an object. The Fermatean fuzzy set covers the negative …
not describe the negative aspects of an object. The Fermatean fuzzy set covers the negative …
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 …
Methods for assessing human–machine performance under fuzzy conditions
MG Voskoglou - Mathematics, 2019 - mdpi.com
The assessment of a system's performance is a very important task, enabling its
designer/user to correct its weaknesses and make it more effective. Frequently, in practice, a …
designer/user to correct its weaknesses and make it more effective. Frequently, in practice, a …
[HTML][HTML] Energy supplier selection by TOPSIS method based on multi-attribute decision-making by using novel idea of complex fuzzy rough information
Abstract Energy Supplier Selection is vital for sustainable energy management. Optimal
supplier choices reduce environmental impact and promote resource efficiency per green …
supplier choices reduce environmental impact and promote resource efficiency per green …
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 …
A hybrid decision‐making framework under complex spherical fuzzy prioritized weighted aggregation operators
Complex spherical fuzzy set, an extended version of spherical fuzzy set, is a very powerful
tool to capture fourfold information (typically yes, no, abstain and refusal), in which the range …
tool to capture fourfold information (typically yes, no, abstain and refusal), in which the range …
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 …
Complex Pythagorean Dombi fuzzy operators using aggregation operators and their decision‐making
A complex Pythagorean fuzzy set, an extension of Pythagorean fuzzy set, is a powerful tool
to handle two dimension phenomenon. Dombi operators with operational parameters have …
to handle two dimension phenomenon. Dombi operators with operational parameters have …
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 …
Approach to multicriteria group decision making with Z‐numbers based on TOPSIS and Power aggregation operators
F Wang, J Mao - Mathematical problems in Engineering, 2019 - Wiley Online Library
Decisions strongly rely on information, so the information must be reliable, yet most of the
real‐world information is imprecise and uncertain. The reliability of the information about …
real‐world information is imprecise and uncertain. The reliability of the information about …