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Article
Mathematics, Applied
Muhammad Saeed et al.
Summary: A novel framework for handling neutrosophic hypersoft information is formulated in this research article by combining the theory of neutrosophic hypersoft sets with graphs. Different types of neutrosophic hypersoft graphs are characterized, and their products and composition are discussed with various construction methods. Furthermore, an application of neutrosophic hypersoft graph in decision making is presented with a proposed algorithm.
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Samet Memis et al.
Summary: In this paper, the Comparison Matrix-Based Fuzzy Parameterized Fuzzy Soft Classifier (FPFS-CMC) is proposed to apply soft decision-making methods in machine learning, with comparisons to other classifiers showing its superior performance. Experimental and statistical results both support that FPFS-CMC outperforms existing methods in various performance metrics.
Article
Chemistry, Analytical
Zaid Abdi Alkareem Alyasseri et al.
Summary: The electroencephalogram (EEG) has great potential for user identification, but selecting which electrodes to use is a challenging task. This study introduces a new algorithm that selects the most representative electrodes using optimization methods, and experimental results show its accuracy.
Article
Mathematical & Computational Biology
Atiqe Ur Rahman et al.
Summary: This research proposes a novel concept of hypersoft set and develops two novel structures and algorithms to tackle the parameter classification problem in real-world scenarios. The study achieves certain successes in solving COVID-19 decision-making problems.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Biology
Atiqe Ur Rahman et al.
Summary: The possibility neutrosophic hypersoft set is a generalized version of the possibility neutrosophic soft set, providing a new mathematical tool to solve problems dealing with uncertainties. In this study, a modified algorithm for medical diagnosis of heart diseases is proposed by integrating the concept of the possibility neutrosophic hypersoft set and the modified Sanchez's method. The authenticity of the proposed algorithm is evaluated through its implementation in a real-world scenario with real data.
Article
Computer Science, Artificial Intelligence
Samet Memis et al.
Summary: This paper introduces a new classification algorithm called FPFS-AC, which combines the modeling ability of soft decision-making and the classification success of generalised eigenvalues. Experimental and statistical results show that FPFS-AC outperforms state-of-the-art classifiers in all datasets in terms of performance metrics.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Ye Tian et al.
Summary: This article presents a Z-numbers soft likelihood function (ZSLF) decision model based on Yager's soft likelihood function, which effectively combines probabilistic evidence to handle conflicting information. Application examples demonstrate the rationality and effectiveness of the method, while comparisons and discussions further highlight the advantages of the ZSLF decision model.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Muhammad Saeed et al.
Summary: This paper discusses the challenges related to diagnosing brain tumors, noting that uncertainties and inaccuracies in practical assessment make it difficult to predict disease progression and treatment time accurately. The introduction of Neutrosophic Hypersoft set (NHS) and NHS mapping addresses this issue by providing a detailed approach to handling disease parameter values and selecting appropriate medication. Ultimately, the generalized NHS mapping is presented to assist specialists in extracting patient progress history and predicting treatment duration until recovery.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Atiqe Ur Rahman et al.
Summary: Hypersoft set, as an extension of soft set, partitions each attribute into its corresponding attribute-valued set, addressing the limitation of dealing with scenarios having disjoint attribute-valued sets corresponding to distinct attributes. The study aims to align the existing literature on neutrosophic parameterized soft set with the need of multi-attribute approximate function. The conceptualization of neutrosophic parameterized hypersoft sets, along with decision-making algorithms and illustrative examples, demonstrates the structure's effectiveness in handling problems involving vagueness and uncertainties, with a discussion on generalization.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2021)
Article
Mathematics
Atiqe Ur Rahman et al.
Summary: Concept of bijective hypersoft set is proposed in this study, along with some set theoretic operations, and new operations like dependency, decision system are discussed. A decision making algorithm and application are discussed with the support of these proposed operations.
PUNJAB UNIVERSITY JOURNAL OF MATHEMATICS
(2021)
Article
Computer Science, Information Systems
Samet Memis et al.
Summary: This study introduces the Fuzzy Parameterized Fuzzy Soft Euclidean Classifier (FPFS-EC) based on Euclidean pseudo-similarity and compares its performance with other algorithms using 18 real-world datasets. The results demonstrate that FPFS-EC outperforms other algorithms in 13 out of 18 datasets.
Article
Computer Science, Information Systems
Muhammad Saeed et al.
Summary: This research aims to explore the diagnostic issues of hepatitis, introducing Neutrosophic Hypersoft (NHS) set and NHS mapping with its inverse mapping to help analyze the problem accurately. By establishing a connection between symptoms and medicines, it reduces the difficulty of narrative and constructs a table based on fuzzy interval to guide treatment selection.
Article
Computer Science, Information Systems
Muhammad Saeed et al.
Summary: The paper discusses the novelty of complex multi-fuzzy hypersoft set (CMFHSS) and its ability to handle uncertainties in data. By establishing a hybrid framework of multi-fuzzy set and hypersoft set, CMFHSS becomes more flexible in dealing with complex information.
Article
Computer Science, Information Systems
Mohamed Elhoseny et al.
Summary: Heart disease is a serious life-threatening condition that can be diagnosed early and efficiently using automated diagnosis systems integrating binary convolutional neural networks and multi-agent feature wrapper models. These systems improve the accuracy of HD identification by conducting a global search on HD features and adjusting classifier weights, resulting in the highest capability to identify patients with HD.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Chemistry, Analytical
J. Prasanna et al.
Article
Mathematics
Murat Kirisci
Article
Mathematics
Murat Kirisci
JOURNAL OF INTERDISCIPLINARY MATHEMATICS
(2020)
Article
Computer Science, Artificial Intelligence
Feng Feng et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2019)
Proceedings Paper
Mathematics, Applied
Nasruddin Hassan et al.
14TH INTERNATIONAL SYMPOSIUM ON GEOMETRIC FUNCTION THEORY AND APPLICATIONS
(2019)
Article
Computer Science, Artificial Intelligence
Kuanyun Zhu et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2016)
Article
Mathematics, Applied
K. V. Babitha et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2011)
Article
Mathematics, Applied
Aslihan Sezgin et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2011)
Article
Mathematics, Applied
K. V. Babitha et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2010)
Article
Mathematics, Applied
M. Irfan Ali et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2009)
Article
Mathematics, Applied
PK Maji et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2003)
