A new method to support decision-making in an uncertain environment based on normalized interval-valued triangular fuzzy numbers and comet technique
Multi-criteria decision-making (MCDM) plays a vibrant role in decision-making, and the
characteristic object method (COMET) acts as a powerful tool for decision-making of …
characteristic object method (COMET) acts as a powerful tool for decision-making of …
Develo** supply chain resilience: A robust multi-criteria decision analysis method for transportation service provider selection under uncertainty
This study examines critical success factors (CSFs) for supply chain resilience regarding the
selection of transportation service providers. Due to extensive global sourcing, many …
selection of transportation service providers. Due to extensive global sourcing, many …
Cubic fuzzy Einstein aggregation operators and its application to decision-making
In this paper, we define some Einstein operations on cubic fuzzy set (CFS) and develop
three arithmetic averaging operators, which are cubic fuzzy Einstein weighted averaging …
three arithmetic averaging operators, which are cubic fuzzy Einstein weighted averaging …
A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem
Personnel selection is a challenging problem for any organization. The success of a project
is determined by the human resources that handle the project. To make better personnel …
is determined by the human resources that handle the project. To make better personnel …
Generalized trapezoidal hesitant fuzzy numbers and their applications to multi criteria decision-making problems
Generalized hesitant trapezoidal fuzzy number whose membership degrees are expressed
by several possible trapezoidal fuzzy numbers, is more adequate or sufficient to solve real …
by several possible trapezoidal fuzzy numbers, is more adequate or sufficient to solve real …
Neutrosophic statistical analysis of split-plot designs
The classic split-plot designs are unable to analyze indeterminate and uncertain data
resulting from circumstances beyond our control. To this end, proposing a generalized …
resulting from circumstances beyond our control. To this end, proposing a generalized …
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Over the past years, several approaches have been developed to create algorithmic music
composers. Most existing solutions focus on composing music that appears theoretically …
composers. Most existing solutions focus on composing music that appears theoretically …
Virtual inertia control in islanded microgrid by using robust model predictive control (RMPC) with considering the time delay
The time delay between distributed generation sources puts the frequency stability at risk.
Moreover, increasing the number of distributed generation sources in islanded microgrids …
Moreover, increasing the number of distributed generation sources in islanded microgrids …
Hesitant T-spherical Dombi fuzzy aggregation operators and their applications in multiple criteria group decision-making
F Karaaslan, AHS Al-Husseinawi - Complex & Intelligent Systems, 2022 - Springer
A hesitant fuzzy (HF) set is an extension of the fuzzy sets and a T-spherical fuzzy set (T-SFS)
is a generalization of the spherical fuzzy set (SFS). HF set has a significant role for modelling …
is a generalization of the spherical fuzzy set (SFS). HF set has a significant role for modelling …
New multicriteria group decision support systems for small hydropower plant locations selection based on intuitionistic cubic fuzzy aggregation information
There has been a quick development in construction activities during the last couple of
decades attributable to a general improvement in all features of humankind. Because of …
decades attributable to a general improvement in all features of humankind. Because of …