Results 91 to 100 of about 700,487 (210)

A Neural Network‐Based Decision Framework Utilizing Large Language Models and Neutrosophic Sets for Sustainable Supplier Selection

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Sustainable supplier selection is a high‐impact decision problem in which organizations must jointly evaluate economic performance, environmental impact, and social responsibility under heterogeneous stakeholder preferences, asymmetric decision authority, and predominantly linguistic assessments. Conventional multiattribute group decision‐making (MAGDM)
Amirhossein Nafei, Zhi Li, S. Pourmohammad Azizi, Richard Murray   +3 more
wiley   +1 more source

A Unifying Field In Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability (Fifth Edition)

, 2006
The neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics etc. were introduced by Florentin Smarandache in 1995. 1. Neutrosophy is a new branch of philosophy that studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra.
openaire   +2 more sources

Generalization of Fuzzy C-Means based on Neutrosophic Logic [PDF]

Studies in Informatics and Control, 2018
This article presents a New Neutrosophic C-Means (NNCMs) method for clustering. It uses the neutrosophic logic (NL), to generalize the Fuzzy C-Means (FCM) clustering system. The NNCMs system assigns objects to clusters using three degrees of membership: a degree of truth, a degree of indeterminacy, and a degree of falsity, rather than only the truth ...
Aboul Ella HASSANIEN, BASHA, Sameh H., Areeg S. ABDALLA   +2 more
openaire   +1 more source

Enhancing Artificial Intelligence With (p,  q)‐Fractional Fuzzy Decision Model Using Aczel–Alsina Operators

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Cybersecurity tools are essential components in maintaining the security and integrity of information technology infrastructures. These tools shape themselves to prevent, detect, and respond to various security breaches, confirming the protection, confidentiality, and accessibility of data.
Saifullah, Saleem Abdullah, Marya Nawaz, Saeed Ullah, Hameed Gul Ahmadzai, Kallol Mohanta   +5 more
wiley   +1 more source

A Novel Neutrosophic Recommender System Model Using Entropy Theory and Collaborative Filtering Algorithm

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
User behavior data used in recommender systems are frequently inconsistent, uncertain, and hesitant, making it challenging to model using common traditional techniques. Fuzzy logic, known for its ability to handle uncertainty, has therefore been widely adopted.
Nguyen-Giap Cu, Thi-Lich Nghiem, Le-Kim-Danh Tran, Richard Murray   +3 more
wiley   +1 more source

Improved Definition of NonStandard Neutrosophic Logic and Introduction to Neutrosophic Hyperreals (Fifth version)

SSRN Electronic Journal, 2022
In the fifth version of our response-paper [26] to Imamura’s criticism, we recall that NonStandard Neutrosophic Logic was never used by neutrosophic community in no application, that the quarter of century old neutrosophic operators (1995-1998) criticized by Imamura were never utilized since they were improved shortly after but he omits to tell their ...
openaire   +2 more sources

A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic [PDF]

Neutrosophic Sets and Systems
Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information ...
R. M. Abou Alzahab, Amr Ismail, S. H. Abd Elkhalik, M. Y. Shams, H. M. El-Bakry, A. A. Salama   +5 more
doaj   +1 more source

An Integrated T‐Spherical Fuzzy 2‐Tuple Linguistic WASPAS Framework With Hamy Mean Aggregation for Wildlife Conservation Planning

Journal of Applied Mathematics, Volume 2026, Issue 1, 2026.
Due to the inherent uncertainty in selecting a best alternative, T‐spherical fuzzy 2‐tuple linguistic (T‐SF2TL) sets will be an advantageous method for decision makers (DMs) to assist their evaluations within T‐SF2TL framework. The objective of this study is to establish weighted Hamy mean (WHM) and weighted dual Hamy mean (WDHM) operators within the ...
Wejdan Deebani, Muhammad Ibrar, Zahir Shah, Nasser Aedh Alreshidi, Meshal Shutaywi, Li Yanhong, Paolo Maria Mariano   +6 more
wiley   +1 more source

Multiclass classification using neural networks and interval neutrosophic sets [PDF]

, 2006
This paper presents a new approach to the problem of multiclass classification. The proposed approach has the capability to provide an assessment of the uncertainty value associated with the results of the prediction.
Wong, K.W., Fung, C.C., Kraipeerapun, P.
core  

Hierarchical Multiobjective Linear Fractional Stochastic Optimization Problem Under Neutrosophic Environment With Its Application in Industrial Production Planning Problems

Journal of Applied Mathematics, Volume 2026, Issue 1, 2026.
In real‐world organizations—such as industry companies, agriculture sectors, and transportation control systems—there exist several complexities, such as hierarchical decision‐makers (DMs) optimizing multiple conflicting ratio‐based goals, resources associated with chance, and uncertain input data with a hesitant scope.
Demmelash Mollalign Moges, Agegnehu Tesfaye Janka, Berhanu Guta Wordofa, Xiasheng Shi   +3 more
wiley   +1 more source