Results 41 to 50 of about 1,770 (171)
Certainty of outlier and boundary points processing in data mining
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem.
Guo, Yanhui +3 more
core +1 more source
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
core +1 more source
Neutrosophic Soft Rough Sets for Quality Evaluation of Interactive Music Teaching in Higher Education: A Novel Approach [PDF]
Evaluating interactive teaching effectiveness in higher education presents a significant challenge due to the presence of vague, uncertain, and incomplete data derived from diverse stakeholders such as students, instructors, and educational technologies.
Jingjing Zhang
doaj +1 more source
Possibility Single Valued Neutrosophic Soft Expert Sets And Its Application In Decision Making
In this paper, we first introduced the concept of possibility single valued neutrosophic soft expert sets (PSVNSESs for short) which is a generalization of single valued neutrosophic soft expert sets (SVNSESs for short), possibility fuzzy soft expert sets ( PFSESs) and possibility intuitionistic fuzzy soft expert sets (PIFSESs).
Broumi, Said, Smarandache, Florentin
openaire +3 more sources
Evaluation of College Students' Innovation and Entrepreneurship Abilities in the New Media Environment Using Tree Soft Set and Neutrosophic Modeling [PDF]
In today's rapidly evolving digital society, the new media environment has profoundly reshaped the landscape of innovation and entrepreneurship among college students.
Xiang Lou
doaj +1 more source
When making decisions using multiple criteria, known as “multicriteria decision‐making” (MCDM), it is essential to organize and address these challenges effectively. The Q‐Neutrosophic Hypersoft Set (Q‐NHSS) expands upon the Q‐Neutrosophic Soft Set (Q‐NSS) and integrates it with the Q‐Fuzzy set, a two‐dimensional information system.
Ayisha Saeed +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
Neutrality and Many-Valued Logics [PDF]
In this book, we consider various many-valued logics: standard, linear, hyperbolic, parabolic, non-Archimedean, p-adic, interval, neutrosophic, etc. We survey also results which show the tree different proof-theoretic frameworks for many-valued logics, e.
Schumann, Andrew, Smarandache, Florentin
core +2 more sources
This paper advances the theory of bipolar Pythagorean neutrosophic fuzzy (BPNF) sets by establishing their formalization within a topological and metric framework, while also demonstrating their role in decision‐making under uncertainty. The main contributions are as follows: (1) definition and characterization of BPNF topological spaces, providing a ...
Akiladevi Natarajan +5 more
wiley +1 more source
Super Fuzzy Matrices and Super Fuzzy Models for Social Scientists [PDF]
This book introduces the concept of fuzzy super matrices and operations on them. This book will be highly useful to social scientists who wish to work with multi-expert models.
Amal, K. +2 more
core +1 more source

