[HTML][HTML] 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 …
A three-way decision methodology with regret theory via triangular fuzzy numbers in incomplete multi-scale decision information systems
J Zhan, J Deng, Z Xu, L Martínez - IEEE Transactions on Fuzzy …, 2023 - ieeexplore.ieee.org
The three-way decision theory provides a three-way philosophical thinking to solve
problems, and the regret theory quantifies the risk preferences of decision makers under …
problems, and the regret theory quantifies the risk preferences of decision makers under …
Extension of TOPSIS model to the decision-making under complex spherical fuzzy information
M Akram, C Kahraman, K Zahid - Soft Computing, 2021 - Springer
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 …
Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda
Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-
making problems involving multiple options and multiple criteria. These methods have been …
making problems involving multiple options and multiple criteria. These methods have been …
[HTML][HTML] T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making
The paper aims to present the concept of power aggregation operators for the T-spherical
fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting …
fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting …
Maclaurin symmetric mean operators and their applications in the environment of complex q-rung orthopair fuzzy sets
The Maclaurin symmetric mean (MSM) and dual Maclaurin symmetric mean (DMSM)
operators are two aggregation operators to aggregate the q-rung orthopair fuzzy numbers (q …
operators are two aggregation operators to aggregate the q-rung orthopair fuzzy numbers (q …
[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
Decision‐making framework for an effective sanitizer to reduce COVID‐19 under Fermatean fuzzy environment
The purpose of this article is to develop some general aggregation operators (AOs) based
on Einstein's norm operations, to cumulate the Fermatean fuzzy data in decision‐making …
on Einstein's norm operations, to cumulate the Fermatean fuzzy data in decision‐making …
A modified failure modes and effects analysis using interval-valued spherical fuzzy extension of TOPSIS method: case study in a marble manufacturing facility
Failure modes and effects analysis (FMEA) is a commonly used step-by-step approach to
assess potential failures existing in a product or process design. In this paper, a modified …
assess potential failures existing in a product or process design. In this paper, a modified …
A state-of-the-art survey on spherical fuzzy sets
In addition to the well-known fuzzy sets, a novel type of fuzzy set called spherical fuzzy set
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …