Results 81 to 90 of about 925 (216)
A Decision‐Making Problem for Smartphone Selection Using Neutrosophic Distance Measures
A neutrosophic distance measure using average functions is defined, and the metric axioms are verified by discussing its properties on a neutrosophic structure. Further, the similarity measure’s axioms are also derived for the complement of the proposed distance measure.
M. Arockia Dasan +5 more
wiley +1 more source
Research under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise.
Neha Purwar +4 more
doaj +1 more source
In this paper, utilizing the concept of neutrosophic metric spaces proposed by Kirisci and Simsek, we establish a fixed point theorem of Edelstein type within this framework. A numerical example is provided to illustrate the validity of the main result. Furthermore, we present an application to a general SIR‐type epidemic model.
Vishal Gupta +3 more
wiley +1 more source
Ensemble neural networks using interval neutrosophic sets and bagging
This paper presents an approach to the problem of binary classification using ensemble neural networks based on interval neutrosophic sets and bagging technique.
Wong, K.W. +5 more
core +1 more source
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 +3 more
wiley +1 more source
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 +5 more
wiley +1 more source
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 +6 more
wiley +1 more source
INTRODUCTION TO NEUTROSOPHIC STATISTICS
Although the neutrosophic statistics has been defined since 1996, and published in the 1998 book Neutrosophy. / Neutrosophic Probability, Set, and Logic, it has not been developed since now.
Florentin Smarandache (4496650)
core +1 more source
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 +5 more
wiley +1 more source
An Interval‐Valued Fermatean Neutrosophic Framework for Sustainable Transportation Under Uncertainty
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 +4 more
wiley +1 more source

