A novel fuzzy hybrid neutrosophic decision‐making approach for the resilient supplier selection problem
The objectives of this study are to mitigate the risk and disturbances to the supply chain, to
offer required models for resolving the complex issues that arise, and to maintain the stability …
offer required models for resolving the complex issues that arise, and to maintain the stability …
Fuzzy parameterized fuzzy soft k-nearest neighbor classifier
In this paper, we propose a new kNN algorithm, ie, Fuzzy Parameterized Fuzzy Soft kNN
(FPFS-kNN), based on multiple pseudo-metrics of fuzzy parameterized fuzzy soft matrices …
(FPFS-kNN), based on multiple pseudo-metrics of fuzzy parameterized fuzzy soft matrices …
A classification method in machine learning based on soft decision-making via fuzzy parameterized fuzzy soft matrices
Fuzzy parameterized fuzzy soft matrices (fpfs-matrices) which can model problems involving
fuzzy objects and parameters are one of the mathematical tools used to deal with decision …
fuzzy objects and parameters are one of the mathematical tools used to deal with decision …
A new classification method using soft decision-making based on an aggregation operator of fuzzy parameterized fuzzy soft matrices
Recently, a precise and stable machine learning algorithm, ie eigenvalue classification
method (EigenClass), has been developed by using the concept of generalised eigenvalues …
method (EigenClass), has been developed by using the concept of generalised eigenvalues …
Interval-valued intuitionistic fuzzy parameterized interval-valued intuitionistic fuzzy soft matrices and their application to performance-based value assignment to noise …
Recently, the concept of interval-valued intuitionistic fuzzy parameterized interval-valued
intuitionistic fuzzy soft sets (d-sets) has successfully modelled decision-making problems …
intuitionistic fuzzy soft sets (d-sets) has successfully modelled decision-making problems …
SDM methods' configurations (2017-2019) and their application to a performance-based value assignment problem: A follow up study
Being a follow-up study, this paper configures soft decision-making (SDM) methods (2017-
2019), having been constructed with soft sets, soft matrices, and their fuzzy hybrid versions …
2019), having been constructed with soft sets, soft matrices, and their fuzzy hybrid versions …
Assessment and selection of smart agriculture solutions using an information error‐based Pythagorean fuzzy cloud algorithm
Smart agriculture can enhance agricultural production efficiency, improve the ecological
environment, and realize the sustainable development of agriculture. Many countries and …
environment, and realize the sustainable development of agriculture. Many countries and …
The decision‐making of optimal equity and capital structure based on dynamical risk profiles: A Langevin system framework for SME growth
The purpose of this paper is to establish a generalized dynamical framework for small and
micro‐enterprise (SME) growth in the tech‐economic paradigm, and develop a novel …
micro‐enterprise (SME) growth in the tech‐economic paradigm, and develop a novel …
Operability-oriented configurations of the soft decision-making methods proposed between 2013 and 2016 and their comparisons
The concept of fuzzy parameterized fuzzy soft matrices (fpfs-matrices) is a mathematical tool
coming into prominence with its ability to model decision-making problems. Therefore, in the …
coming into prominence with its ability to model decision-making problems. Therefore, in the …
A classification method based on Hamming pseudo-similarity of intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices
In this study, firstly, Hamming pseudo-similarity of intuitionistic fuzzy parameterized
intuitionistic fuzzy soft matrices (ifpifs-matrices) have been defined. Afterwards, a classifier …
intuitionistic fuzzy soft matrices (ifpifs-matrices) have been defined. Afterwards, a classifier …