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 …
Novel Aczel–Alsina operators for Pythagorean fuzzy sets with application in multi-attribute decision making
Multi-attribute decision-making (MADM) is usually used to aggregate fuzzy data
successfully. Choosing the best option regarding data is not generally symmetric on the …
successfully. Choosing the best option regarding data is not generally symmetric on the …
A fuzzy rough number extended AHP and VIKOR for failure mode and effects analysis under uncertainty
GN Zhu, J Ma, J Hu - Advanced Engineering Informatics, 2022 - Elsevier
Failure mode and effects analysis (FMEA) is one of the most popular reliability analysis
techniques due to its outstanding capabilities in identifying, assessing, and eliminating …
techniques due to its outstanding capabilities in identifying, assessing, and eliminating …
A new decision-making model using complex intuitionistic fuzzy Hamacher aggregation operators
Aggregation operators are the standard mathematical tool for the combination of several
inputs into one unique output. This paper presents some aggregation operators for complex …
inputs into one unique output. This paper presents some aggregation operators for complex …
Decision making under measure-based granular uncertainty with intuitionistic fuzzy sets
Y Xue, Y Deng - Applied intelligence, 2021 - Springer
Yager has proposed the decision making under measure-based granular uncertainty, which
can make decision with the aid of Choquet integral, measure and representative payoffs …
can make decision with the aid of Choquet integral, measure and representative payoffs …
A new complex fuzzy inference system with fuzzy knowledge graph and extensions in decision making
Context and Background: Complex fuzzy theory has a strong practical implication in many
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …
Power aggregation operators and VIKOR methods for complex q-rung orthopair fuzzy sets and their applications
The aim of this paper is to present the novel concept of Complex q-rung orthopair fuzzy set
(Cq-ROFS) which is a useful tool to cope with unresolved and complicated information. It is …
(Cq-ROFS) which is a useful tool to cope with unresolved and complicated information. It is …
Complex intuitionistic fuzzy DOMBI prioritized aggregation operators and their application for resilient green supplier selection
One of the main problems faced by resilient supply chain management is how to solve the
problem of supplier selection, which is a typical multi-attribute decision-making (MADM) …
problem of supplier selection, which is a typical multi-attribute decision-making (MADM) …
[HTML][HTML] Analysis and application of rectified complex t-spherical fuzzy Dombi-Choquet integral operators for diabetic retinopathy detection through fundus images
This paper proposes a rectified complex spherical fuzzy set (rCTSFS) model that enables
the phase term of a complex number to function truthfully to its inherent meaning of …
the phase term of a complex number to function truthfully to its inherent meaning of …
Multi-attribute decision-making methods based on Aczel–Alsina power aggregation operators for managing complex intuitionistic fuzzy sets
Aczel–Alsina t-norm and t-conorm were derived by Aczel and Alsina in 1982, which were the
modified or extended forms of algebraic t-norm and t-conorm. Furthermore, the power …
modified or extended forms of algebraic t-norm and t-conorm. Furthermore, the power …