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 …
Trapezoidal cubic fuzzy number Einstein hybrid weighted averaging operators and its application to decision making
In this paper, we define some Einstein operations on trapezoidal cubic fuzzy set and
develop three arithmetic averaging operators, that is trapezoidal cubic fuzzy Einstein …
develop three arithmetic averaging operators, that is trapezoidal cubic fuzzy Einstein …
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 …
ArWordVec: efficient word embedding models for Arabic tweets
One of the major advances in artificial intelligence nowadays is to understand, process and
utilize the humans' natural language. This has been achieved by employing the different …
utilize the humans' natural language. This has been achieved by employing the different …
Improved failure mode and effect analysis with interval-valued intuitionistic fuzzy rough number theory
G Huang, L **ao, G Zhang - Engineering Applications of Artificial …, 2020 - Elsevier
Failure mode and effect analysis (FMEA) is a prospective risk analysis instrument applied in
various fields for eliminating known or potential failures in products. However, conventional …
various fields for eliminating known or potential failures in products. However, conventional …
[HTML][HTML] Extended TOPSIS method for multi-criteria group decision-making problems under cubic intuitionistic fuzzy environment
The objective of this work is to present a novel multi-criteria group decision making
(MCGDM) method under cubic intuitionistic fuzzy (CIF) environment by integrating extended …
(MCGDM) method under cubic intuitionistic fuzzy (CIF) environment by integrating extended …
Comparative study of neural networks for dynamic nonlinear systems identification
In this paper, a comparative study is performed to test the approximation ability of different
neural network structures. It involves three neural networks multilayer feedforward neural …
neural network structures. It involves three neural networks multilayer feedforward neural …
Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program
In this paper, we describe the idea of trapezoidal cubic hesitant fuzzy number. We discuss
some basic operational laws of trapezoidal cubic hesitant fuzzy number and hamming …
some basic operational laws of trapezoidal cubic hesitant fuzzy number and hamming …
Analyzing wind power data using analysis of means under neutrosophic statistics
M Aslam - Soft Computing, 2021 - Springer
In this paper, the analysis of means test under the neutrosophic statistics is presented. The
necessary procedure is given to apply the proposed neutrosophic analysis of means. The …
necessary procedure is given to apply the proposed neutrosophic analysis of means. The …