Results 71 to 80 of about 642 (182)

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

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

Efficient neutrosophic exponential estimators for accurate population mean estimation in simple random sampling [PDF]

Journal of Fuzzy Extension and Applications
Neutrosophic statistics extend the classical statistical methods by incorporating elements of indeterminacy and provide a powerful tool for handling imprecision and uncertainty in data. The objective of this paper is to introduce the efficient neutrosophic
Anoop Kumar, Priya Priya
doaj   +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

Plan for Food Inspection for Inflated-Pareto Data Under Uncertainty Environment

IEEE Access, 2019
The existing sampling plans for food inspection have been designed under classical statistics. These sampling plans are applied in the food industry under the assumption that all observations are determined, clear and certain. The neutrosophic statistics
Muhammad Aslam, Saminathan Balamurali, Jeyadurga Periyasamypandian, Ali Hussein AL-Marshadi   +3 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

Random Samples Generation from Neutrosophic Distributions Using the neutrostat Package in R [PDF]

Neutrosophic Sets and Systems
Random sample generation plays a fundamental role in statistical simulation, model validation, and performance evaluation. In the context of neutrosophic statistics, where uncertainty, indeterminacy, and imprecision are explicitly modeled, generating ...
M. I. Khan, Zahid Khan, Katrina Lane Krebs   +2 more
doaj   +1 more source

A Unifying Field In Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability And Statistics

, 1995
In 1960s Abraham Robinson has developed the non-standard analysis, a formalization of analysis and a branch of mathematical logic, which rigorously defines the infinitesimals.
openaire   +2 more sources

Navigating Complexity in Multiobjective Green Capacitated Transportation Problem With Type‐2 Fuzziness and Interactive Bipolar Neutrosophic Programming

Journal of Mathematics, Volume 2026, Issue 1, 2026.
This research addresses the pressing need for affordable, ecofriendly modes of transportation. The work proposes a novel framework of multiobjective green capacitated transportation problem with Type‐2 fuzzy parameters to optimize transportation variables related to shipping cost, damage, labor, and time and accounts for multiple shipping carbon ...
Sadia Samar Ali, Murshid Kamal, Srikant Gupta, Irfan Ali, Aquil Ahmed, Luigi Rarità   +5 more
wiley   +1 more source

An Interval‐Valued Fermatean Neutrosophic Framework for Sustainable Transportation Under Uncertainty

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Transportation planning is facing heightened complexity because the dynamic parameters influenced by globalization and unpredictable technological disruptions. Traditional models are not capable to handle interval‐based uncertainties related to supply, demand, and costs, especially as the scale of suppliers and customers expands.
Muhammad Kamran, Muhammad Nadeem, Magda Abd El-Rahman, J. Akhter, Ghous Ali   +4 more
wiley   +1 more source