S. Sharief Basha
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View article: The Laplacian energy of an intuitionistic fuzzy rough graph and its utilisation in decision-making
The Laplacian energy of an intuitionistic fuzzy rough graph and its utilisation in decision-making Open
An intuitionistic fuzzy rough model is a hybrid model that combines intuitionistic fuzzy sets and rough sets, addressing soft computing and ambiguity. It uses lower and upper approximation spaces in various fields, including science, techn…
View article: Enhancing Expert Decision-Making for Wastewater Treatment Plants with Seidel Laplacian Energy and Cosine Similarity Measure in Intuitionistic Fuzzy Graphs
Enhancing Expert Decision-Making for Wastewater Treatment Plants with Seidel Laplacian Energy and Cosine Similarity Measure in Intuitionistic Fuzzy Graphs Open
Wastewater treatment facilities’ main goal is to protect the public and environment from the hazardous and poisonous materials found in wastewater. Water treatment facilities were developed to speed up the natural process of cleansing wate…
View article: Signless Laplacian energy aware decision making for electric car batteries based on intuitionistic fuzzy graphs
Signless Laplacian energy aware decision making for electric car batteries based on intuitionistic fuzzy graphs Open
Fuzzy graphs (FGs) contain dual-nature characteristics that may be extended to intuitionistic fuzzy graphs. These FGs are better at capturing ambiguity in situations in reality involving decision-making than FGs. In this paper, we address …
View article: Developing an intuitionistic fuzzy rough new correlation coefficient approach for enhancing robotic vacuum cleaner
Developing an intuitionistic fuzzy rough new correlation coefficient approach for enhancing robotic vacuum cleaner Open
An intuitionistic fuzzy rough model is a powerful tool for dealing with complex uncertainty and imprecision in graph-based models, combining the strengths of intuitionistic fuzzy sets and rough sets. In this research, a correlation coeffic…
View article: Enhancing solar radiation predictions through COA optimized neural networks and PCA dimensionality reduction
Enhancing solar radiation predictions through COA optimized neural networks and PCA dimensionality reduction Open
The inherent variability and uncertainty of solar radiation, influenced by factors such as seasons, weather, and cloud cover, pose significant challenges in accurately forecasting energy output from solar power systems. Robust forecasting …
View article: A Novel QoS Prediction Model for Web Services Based on an Adaptive Neuro-Fuzzy Inference System Using COOT Optimization
A Novel QoS Prediction Model for Web Services Based on an Adaptive Neuro-Fuzzy Inference System Using COOT Optimization Open
The adoption of adaptive neuro-fuzzy inference systems (ANFIS) and metaheuristic optimization approaches has been widely observed in recent research. Even so, integrating these methods improves the model’s capability to solve complex probl…
View article: An assessment of fertilizer spraying drones based on hesitancy fuzzy similarity measures for sustainable green development
An assessment of fertilizer spraying drones based on hesitancy fuzzy similarity measures for sustainable green development Open
This research proposes a new similarity measure on hesitancy fuzzy graphs. The similarity measures are crucial concepts to explore the closeness between fuzzy graphs. The available imprecise and inconsistent data were more effectively hand…
View article: A novel COVID-19 infection-forecasting model based on artificial neural networks
A novel COVID-19 infection-forecasting model based on artificial neural networks Open
The COVID-19 surge has mostly affected people and wreaked havoc on multiple sectors of the global economy. This study uses artificial neural networks (ANN) to develop COVID-19 prediction models to minimize the perilous situation. With posi…
View article: A Hybridized Machine Learning Approach for Predicting COVID-19 Using Adaptive Neuro-Fuzzy Inference System and Reptile Search Algorithm
A Hybridized Machine Learning Approach for Predicting COVID-19 Using Adaptive Neuro-Fuzzy Inference System and Reptile Search Algorithm Open
This research is aimed to escalate Adaptive Neuro-Fuzzy Inference System (ANFIS) functioning in order to ensure the veracity of existing time-series modeling. The COVID-19 pandemic has been a global threat for the past three years. Therefo…
View article: The Correlation Coefficient of Hesitancy Fuzzy Graphs in Decision Making
The Correlation Coefficient of Hesitancy Fuzzy Graphs in Decision Making Open
The hesitancy fuzzy graphs (HFGs), an extension of fuzzy graphs, are useful tools for dealing with ambiguity and uncertainty in issues involving decision-making (DM). This research implements a correlation coefficient measure (CCM) to asse…
View article: The Laplacian Energy of Hesitancy Fuzzy Graphs in Decision-Making Problems
The Laplacian Energy of Hesitancy Fuzzy Graphs in Decision-Making Problems Open
Decision-making (DM) is a process in which several persons concurrently engage, examine the problems, evaluate potential alternatives, and select an appropriate option to the problem. Technique for determining order preference by similarit…
View article: Artificial Intelligence (AI) Model: Adaptive Neuro-Fuzzy Inference System (ANFIS) for Diagnosis of COVID-19 Influenza
Artificial Intelligence (AI) Model: Adaptive Neuro-Fuzzy Inference System (ANFIS) for Diagnosis of COVID-19 Influenza Open
The COVID-19 influenza became a curse on the world. It has been around for two years, so no one needs to make a big introduction of it. It has became a significant challenge around the world. Owing to this, we made dynamic networks using a…
View article: New classes of reverse super edge magic graphs
New classes of reverse super edge magic graphs Open
A reverse edge magic (REM) labeling of a graph $ G(V, E) $ with $ p $ vertices and $ q $ edges is a bijection $ f:V\left(G \right)\cup E\left(G \right)\to \{1, 2, \cdot \cdot \cdot, p+q\} $ such that $ k = f\left(uv \right)-\{f\left(u \rig…
View article: A Review on Orthogonal Derivations in Rings
A Review on Orthogonal Derivations in Rings Open
This paper presents a brief review of derivations used in rings such as orthogonal derivation, orthogonal generalized derivation, orthogonal Jordan derivation, orthogonal symmetric derivation, and orthogonal semiderivation.
View article: Dominating Energy of Operations on Intuitionistic Fuzzy Graphs
Dominating Energy of Operations on Intuitionistic Fuzzy Graphs Open
The concept of energy of an Intuitionistic Fuzzy Graph is extended to dominating Energy in operations on Intuitionistic Fuzzy Graph. In this paper, We have obtained the value of dominating Energy in different operations such as complement,…
View article: Construction of Reverse Super Edge Magic Total Graphs
Construction of Reverse Super Edge Magic Total Graphs Open
In this paper, we investigate the adjacency matrix of reverse super edge magic vertex graph and use this graph to construct other reverse super edge magic graphs with the same edge weight set. Additionally, by combining known reverse supe…
View article: An Intuitionistic Fuzzy Graph’s Signless Laplacian Energy
An Intuitionistic Fuzzy Graph’s Signless Laplacian Energy Open
We are extending concept into the Intuitionistic fuzzy graph’ Signless Laplacian energy instead of the Signless Laplacian energy of fuzzy graph. Now we demarcated an Intuitionistic fuzzy graph’s Signless adjacency matrix and also an Intuit…
View article: Signless Laplacian Energy of Operations on Intuitionistic Fuzzy Graphs
Signless Laplacian Energy of Operations on Intuitionistic Fuzzy Graphs Open
After determining the Signless Laplacian energy of an Intuitionistic fuzzy graphs and the study of lower and upper boundaries of Signless Laplacian energy of an Intuitionistic fuzzy graphs, then we planned to search Signless Laplacian ener…
View article: On Reverse Super Vertex-Magic Labeling
On Reverse Super Vertex-Magic Labeling Open
For a graph G(V, E) an injective mapping f from to the set is a reverse vertex-magic labeling if there is a constant h so that for every vertex where the difference runs over all vertices u adjacent to v . A vertex-magic labeling f is call…
View article: Reverse vertex magic labeling of complete graphs
Reverse vertex magic labeling of complete graphs Open
A reverse vertex magic labeling of a graph G = (V,E) is a bijection such that for every vertex , is a constant . It is well known that all complete graphs Kn admit a reverse magic labeling. In this paper, we present a new proo…
View article: Solving transportation problem using recurrent neural network
Solving transportation problem using recurrent neural network Open
The transportation problem is the classical combinatorial optimization problem arising in numerous planning and designing contexts. In this paper, a recurrent neural network for solving the transportation problem is presented. The recurren…
View article: Laplacian Energy of an Intuitionistic Fuzzy Graph
Laplacian Energy of an Intuitionistic Fuzzy Graph Open
Background/Objectives: The concept of Laplacian energy of fuzzy graph is extended to the Laplacian energy of an intuitionistic fuzzy graph. Methods/Statistical Analysis: In this paper, we defined the adjacency matrix of an intuitionistic f…