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Interval Neutrosophic Logics: Theory and Applications

, 2004
18 pages, 4 ...
Wang, Haibin, Smarandache, Florentin, Zhang, Yanqing, Sunderraman, Rajshekhar   +3 more
openaire   +2 more sources

Neutrosophic Partial Metric Spaces and Fixed Point Theorems

Journal of Function Spaces, Volume 2025, Issue 1, 2025.
In this paper, neutrosophic partial metric spaces are defined, and their basic properties and examples are obtained. Furthermore, the relations between neutrosophic partial metric spaces, classical metric spaces, fuzzy partial metric spaces, and fuzzy are analyzed.
Abdullah Kargın, Bilal Bilalov
wiley   +1 more source

Neutrosophic Logic For Mental Model Elicitation And Analysis

Neutrosophic 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, Maikel Leyva-Vázquez   +1 more
openaire   +2 more sources

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

Journal 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, Ali Asghar Talebi, Mahsa Sadeghi, Aysha Khan, Jana Shafi, Pramita Mishra   +5 more
wiley   +1 more source

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

Neutrosophic 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, Lorenzo Cevallos-Torres, Leonel Vasquez-Cevallos, Zulemma Bazurto-Blacio, Diana Minda-Gilces, Víctor Gómez-Rodríguez, Rosangela Caicedo-Quiroz, Pedro García-Arias   +7 more
doaj  

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

Neutrosophic 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, Mohammad Taher Anan, Abdulkader Jokhadar   +2 more
doaj   +1 more source

Neutrosophic Logic Approach For Evaluating Learning Management Systems

Neutrosophic 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, M. Badr Senousy, Alaa El Din M. Riad   +2 more
openaire   +2 more sources

Retraction Note: Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic. [PDF]

Soft comput, 2023
Basha SH, Anter AM, Hassanien AE, Abdalla A.   +3 more
europepmc   +1 more source

Comments to Neutrosophy [PDF]

, 2001
Any system based on axioms is incomplete because the axioms cannot be proven from the system, just believed. But one system can be less-incomplete than other. Neutrosophy is less-incomplete than many other systems because it contains them.
Gershenson, Carlos
core   +2 more sources

The Hybrid Position/Force Walking Robot Control Using Extenics Theory and Neutrosophic Logic Decision. [PDF]

Sensors (Basel), 2022
Gal IA, Ciocîrlan AC, Vlădăreanu L.
europepmc   +1 more source