Results 101 to 110 of about 778,461 (245)

An Effective Approach in Fuzzy Graph Molecular Modeling Using Randic Index and Its Applications in Medicinal Chemistry for Parkinson’s Drugs

open access: yesJournal of Mathematics, Volume 2025, Issue 1, 2025.
In graph theory, the Randic index (R) is a topological graph invariant widely used as a physicochemical descriptor in the mathematical modeling of molecular structures. However, traditional molecular graphs fail to capture the heterogeneity of chemical bonds, since they treat all edges as uniform, ignoring variations in bond lengths and strengths.
Ying Wang   +5 more
wiley   +1 more source

Neutrosophic Logic - A Better Approach to Execute Imprecise Queries Through the Neutrosophic Database Model

open access: yesIndian Journal of Science and Technology
Objectives: The neutrosophic set has a more powerful ability to process imprecise information compared to the vague set. The objective of the authors is to process the uncertain query using vague as well as neutrosophic logic and compare the result ...
Soumitra De, Jaydev Mishra
semanticscholar   +1 more source

Interval Neutrosophic Logics: Theory and Applications

open access: yes, 2004
18 pages, 4 ...
Wang, Haibin   +3 more
openaire   +2 more sources

Advanced Mathematical Modeling of Woolen Knitting Dynamics Using Laplace Transform and Fourth‐Order Runge–Kutta Method

open access: yesJournal of Mathematics, Volume 2025, Issue 1, 2025.
The knitting of wool is a complicated textile process that is driven by nonlinear interactions of yarn tension, loop creation, and needle dynamics. These interactions have a considerable impact on the quality of the fabric as well as the efficiency with which it is produced.
Suresh Kumar Sahani   +3 more
wiley   +1 more source

Improving Classification in Support Vector Machine Using Neutrosophic Logic [PDF]

open access: yesNeutrosophic Sets and Systems
Support Vector Machine (SVM) is considered one of the most effective methods for classification tasks. However, randomness in classifying observations on the optimal separating hyperplane decision — which are often indeterminate in their class membership
Hiba Habbak   +2 more
doaj   +1 more source

Neutrosophic Logic For Mental Model Elicitation And Analysis

open access: yesNeutrosophic Sets and Systems, 2014
Mental models are personal, internal representations of external reality that people use to interact with the world around them. They are useful in multiple situations such as muticriteria decision making, knowledge management, complex system learning and analysis.
Karina Pérez-Teruel   +1 more
openaire   +2 more sources

Track initialisation for multiple formations based on neutrosophic Hough transform

open access: yesIET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2454-2460, December 2024.
The author use the DBSCAN algorithm and the neutral Hough transform algorithm to apply to multi‐formation flight track initiation, solve the track intersection and fusion problems in track initiation, and improve the accuracy and running speed of track initiation.
Yang Penggang, Wang Kun, Feng Guangdong
wiley   +1 more source

Current Situation of the Use of Neutrosophy to Improve Medical Decision Making and Preventive Healthcare in Ecuador [PDF]

open access: yesNeutrosophic Sets and Systems
This study systematically examines the applications of neutrosophic logic in Ecuadorian medicine, focusing on its role in improving medical decision making and preventive healthcare.
Franklin Parrales-Bravo   +7 more
doaj  

Neutrosophic Logic Applications in Intelligent Control Systems and its Stability

open access: yesHyperSoft Set Methods in Engineering
Uncertainty is an inherent characteristic of actual control systems since their parameters are not fixed and may change based on external factors. The behaviour and performance of control systems can be strongly impacted by these unknown characteristics.
Nagarajan Deivanayagampillai   +1 more
semanticscholar   +1 more source

Neutrosophic Logic Approach For Evaluating Learning Management Systems

open access: yesNeutrosophic Sets and Systems, 2016
Uncertainty in expert systems is essential research point in artificial intelligence domain. Uncertain knowledge representation and analysis in expert systems is one of the challenges that takes researchers concern as different uncertainty types which are imprecision, vagueness, ambiguity, and inconsistence need different handling models.
Nouran Radwan   +2 more
openaire   +2 more sources

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