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From Fuzzification to Neutrosophication: A Better Interface between Logic and Human Reasoning

S Aggarwal, R Biswas, A Q Ansari
2010 2010 3rd International Conference on Emerging Trends in Engineering and Technology  
Experimental data is provided by showing the comparison between fuzzy classifier and neutrosophic classifier, finally paper is concluded with a proposal that neutrosophic logic is a better candidate to  ...  This paper targets human reasoning domain; lists the limitations of fuzzy logic in this area and suggests a new logic: neutrosophic logic.  ...  Apart from the benefits of fuzzy logic, futuristic human reasoning models needs to address two very significant aspects, and they are [5] : a.  ... 
doi:10.1109/icetet.2010.26 dblp:conf/icetet/AggarwalBA10 fatcat:2ekldbdvm5c3xcyu6ngw2eax3y

The Encyclopedia of Neutrosophic Researchers

Florentin Smarandache
2018 Figshare  
The introduction contains a short history of neutrosophics, together with links to the main papers and books.  ...  This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor's invitation. The authors are listed alphabetically.  ...  List of Publications in Neutrosophics Neutrosophic Research He has contributed six significant research papers on neutrosophic related studies to peer reviewed journals such as "Neutrosophic Sets and  ... 
doi:10.6084/m9.figshare.6198878.v1 fatcat:yhqqpzxzgfbhjhhqpdynaav3cu

A Novel Framework for Predicting and Managing Comorbid Diseases using Neutrosophic Logic and Machine Learning

A. E., R. E.
2017 International Journal of Computer Applications  
In this paper, we present a framework using Artificial Neural Network whose inference mechanism is driven by Neutrosophic logic, all being mechanism employed in soft computing so as to ensure intelligent  ...  to handle comorbid disease diagnosis , treatment and management.  ...  Central to this, is the drive by researchers to make computing devices mimic and reason like human beings which is best expressed as soft computing.  ... 
doi:10.5120/ijca2017915516 fatcat:vvrbobjnwfekno7hsjuf2rbhjy

Approaches for Managing Uncertainty in Learning Management Systems

Nouran Radwan, M Senousy, Alaa El, Din Riad
2016 Egyptian Computer Science Journal   unpublished
This review paper suggests the multi-valued logic models which are type 2 fuzzy set; intuitionistic fuzzy set; vague set; and neutrosophic set for handling uncertainty in expert systems to derive decisions  ...  The paper presents definitions, basic properties, and differences of these multi-valued logic models.  ...  Neutrosophic logic is better option to simulate human thinking than fuzzy logic because unlike fuzzy logic, Neutrosophic logic is able to handle indeterminacy of information which expresses the percentage  ... 
fatcat:jbebnianubghji6yb2hsuupgju

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi (+3 others)
2021 Annals of Operations Research  
This paper reviewed related studies conducted in the last 30 years (from 1991 to 2020) in handling uncertainties in medical data using probability theory and machine learning techniques.  ...  Hence, the uncertainty is growing in healthcare and there is limited knowledge to address these problems.  ...  Although perception tasks such as object detection need human intelligence, a subsequent task that needs inference and reasoning needs more human intelligence.  ... 
doi:10.1007/s10479-021-04006-2 pmid:33776178 pmcid:PMC7982279 fatcat:wq2eweu7hfduvbhwo5oaqaltoe

Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020) [article]

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi (+3 others)
2020 arXiv   pre-print
This paper reviewed related studies conducted in the last 30 years (from 1991 to 2020) in handling uncertainties in medical data using probability theory and machine learning techniques.  ...  Hence, the uncertainty is growing in healthcare and there is limited knowledge to address these problems.  ...  Funding The authors have not declared a specific grant for this research from any funding agency.  ... 
arXiv:2008.10114v1 fatcat:pgiep5djj5bdpe7qr4n2f4buky

Generalized neural network and wavelet transform based approach for fault location estimation of a transmission line

Majid Jamil, Abul Kalam, A.Q. Ansari, M. Rizwan
2014 Applied Soft Computing  
Swati Aggarwal, Ranjit Biswas, A. Q. Ansari, "From Fuzzification to Neutrosofication: A Better Interface between Logic and Human Reasoning," Proc. Int.  ...  Al, "A Table Lookup Scheme For Fuzzy Logic Based Model Identification Applied to Time Series Prediction", 2003, Proc.  ... 
doi:10.1016/j.asoc.2014.02.020 fatcat:3mdf5egtyfgu5cnswxtkbptpou