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Neutrosophic Sets and Systems Book Series, Vol. 35, 2020 <A> <neutA> <antiA> Editors Florentin Smarandache . Mohamed Abdel-Basset ISBN 978-1-59973-671-6 Neutrosophic Science International Association (NSIA) ISBN 978-1-59973-671-6 Neutrosophic Sets and Systems An International Book Series in Information Science and Engineering University of New Mexico ISBN 978-1-59973-671-6 University of New Mexico Neutrosophic Sets and Systems An International Book Series in Information Science and Engineering Copyright Notice Copyright @ Neutrosophics Sets and Systems All rights reserved. The authors of the articles do hereby grant Neutrosophic Sets and Systems non-exclusive, worldwide, royalty-free license to publish and distribute the articles in accordance with the Budapest Open Ini- tiative: this means that electronic copying, distribution and printing of both full-size version of the journal and the individual papers published therein for non-commercial, academic or individual use can be made by any user without permission or charge. The authors of the articles published in Neutrosophic Sets and Systems retain their rights to use this journal as a whole or any part of it in any other publications and in any way they see fit. Any part of Neutrosophic Sets and Systems howsoever used in other publications must include an appropriate citation of this journal. Information for Authors and Subscribers “Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc. The submitted papers should be professional, in good English, containing a brief review of a problem and obtained results. Neutrosophy is a new branch of philosophy that studies the origin, nature, and scope of neutralities, as well as their inter actions with different ideational spectra. This theory considers every notion or idea <A> together with its opposite or negation <antiA> and with their spectrum of neutralities <neutA> in between them (i.e. notions or ideas supporting neither <A> nor <antiA>). The <neutA> and <antiA> ideas together are referred to as <nonA>. Neutrosophy is a generalization of Hegel's dialectics (the last one is based on <A> and <antiA> only). According to this theory every idea <A> tends to be neutralized and balanced by <antiA> and <nonA> ideas - as a state of equilibrium. In a classical way <A>, <neutA>, <antiA> are disjoint two by two. But, since in many cases the borders between notions are vague, imprecise, Sorites, it is possible that <A>, <neutA>, <antiA> (and <nonA> of course) have common parts two by two, or even all three of them as well. Neutrosophic Set and Neutrosophic Logic are generalizations of the fuzzy set and respectively fuzzy logic (especially of intuitionistic fuzzy set and respectively intuitionistic fuzzy logic). In neutrosophic logic a proposition has a degree of truth (T), a degree of indeterminacy (I), and a degree of falsity (F), where T, I, F are standard or non-standard subsets of ]-0, 1+[. Neutrosophic Probability is a generalization of the classical probability and imprecise probability. Neutrosophic Statistics is a generalization of the classical statistics. What distinguishes the neutrosophics from other fields is the <neutA>, which means neither <A> nor <antiA>. <neutA>, which of course depends on <A>, can be indeterminacy, neutrality, tie game, unknown, contradiction, igno rance, imprecision, etc. All submissions should be designed in MS Word format using our template file: http://fs.unm.edu/NSS/NSS-paper-template.doc. A variety of scientific books in many languages can be downloaded freely from the Digital Library of Science: http://fs.unm.edu/ScienceLibrary.htm. To submit a paper, mail the file to the Editor-in-Chief. To order printed issues, contact the Editor-in-Chief. This journal is non-commercial, academic edition. It is printed from private donations. Information about the neutrosophics you get from the UNM website: http://fs.unm.edu/neutrosophy.htm. The home page of the journal is accessed on http://fs.unm.edu/NSS. The Educational Publisher Inc. 1313 Chesapeake Ave. Columbus, Ohio 43212, USA Copyright © Neutrosophic Sets and Systems, 2020 Editorial Board ISBN 978-1-59973-671-6 University of New Mexico Editors-in-Chief Prof. Dr. Florentin Smarandache, Postdoc, Department of Mathematics, University of New Mexico, Gallup, NM 87301, USA, Email: [email protected]. Dr. Mohamed Abdel-Basset, Faculty of Computers and Informatics, Zagazig University, Egypt, Email: [email protected]. Associate Editors Dr. Said Broumi, University of Hassan II, Casablanca, Morocco, Email: [email protected]. Prof. Dr. W. B. Vasantha Kandasamy, School of Computer Science and Engineering, VIT, Vellore 632014, India, Email: [email protected]. Dr. Huda E. Khalid, University of Telafer, College of Basic Education, Telafer - Mosul, Iraq, Email: [email protected]. Prof. Dr. Xiaohong Zhang, Department of Mathematics, Shaanxi University of Science &Technology, Xian 710021, China, Email: [email protected]. Editors Yanhui Guo, University of Illinois at Springfield, One Mogadishu, Somalia, Email: [email protected]. University Plaza, Springfield, IL 62703, United States, NoohBany Muhammad, American University of Kuwait, Email: [email protected]. Kuwait, Email: [email protected]. Le Hoang Son, VNU Univ. of Science, Vietnam National Univ. Soheyb Milles, Laboratory of Pure and Applied Mathematics, Hanoi, Vietnam, Email: [email protected]. University of Msila, Algeria, Email: [email protected]. A. A. Salama, Faculty of Science, Port Said University, Egypt, Pattathal Vijayakumar Arun, College of Science and Email: [email protected]. Technology, Phuentsholing, Bhutan, Young Bae Jun, Gyeongsang National University, South Email: [email protected] Korea, Email: [email protected]. Xindong Peng, School of Information Science and Yo-Ping Huang, Department of Computer Science and Engineering, Shaoguan University, Shaoguan 512005, China, Information, Engineering National Taipei University, New Email: [email protected]. Taipei City, Taiwan, Email: [email protected]. Xiao-Zhi Gao, School of Computing, University of Eastern Vakkas Ulucay, Gaziantep University, Gaziantep, Turkey, Finland, FI-70211 Kuopio, Finland, [email protected]. Email: [email protected]. Madad Khan, Comsats Institute of Information Technology, Peide Liu, Shandong University of Finance and Economics, Abbottabad, Pakistan, Email: [email protected]. China, Email: [email protected]. Dmitri Rabounski and Larissa Borissova, independent Jun Ye, Department of Electrical and Information Engineering, researchers, Shaoxing University, 508 Huancheng West Road, Shaoxing Emails: [email protected], [email protected]. 312000, China; Email: [email protected]. Selcuk Topal, Mathematics Department, Bitlis Eren University, Mehmet Şahin, Department of Mathematics, Gaziantep Turkey, Email: [email protected]. University, Gaziantep 27310, Turkey, Ibrahim El-henawy, Faculty of Computers and Informatics, Email: [email protected]. Zagazig University, Egypt, Email: [email protected]. Muhammad Aslam & Mohammed Alshumrani, King A. A. A. Agboola, Federal University of Agriculture, Abdulaziz Univ., Jeddah, Saudi Arabia, Abeokuta, Nigeria, Email: [email protected]. Emails [email protected], [email protected]. Abduallah Gamal, Faculty of Computers and Informatics, Mutaz Mohammad, Department of Mathematics, Zayed Zagazig University, Egypt, Email: [email protected]. University, Abu Dhabi 144534, United Arab Emirates. Luu Quoc Dat, Univ. of Economics and Business, Vietnam Email: [email protected]. National Univ., Hanoi, Vietnam, Email: [email protected]. Abdullahi Mohamud Sharif, Department of Computer Maikel Leyva-Vazquez, Universidad de Guayaquil, Ecuador, Science, University of Somalia, Makka Al-mukarrama Road, Email: [email protected]. Copyright © Neutrosophic Sets and Systems, 2020 Editorial Board ISBN 978-1-59973-671-6 University of New Mexico Tula Carola Sanchez Garcia, Facultad de Educacion de la Baath University, Homs, Syria, Email: riad- Universidad Nacional Mayor de San Marcos, Lima, Peru, [email protected]. Email: [email protected]. Faruk Karaaslan, Çankırı Karatekin University, Çankırı, Muhammad Akram, University of the Punjab, New Campus, Turkey, Email: [email protected]. Lahore, Pakistan, Email: [email protected]. Suriana Alias, Universiti Teknologi MARA (UiTM) Kelantan, Irfan Deli, Muallim Rifat Faculty of Education, Kilis 7 Aralik Campus Machang, 18500 Machang, Kelantan, Malaysia, University, Turkey, Email: [email protected]. Email: [email protected]. Ridvan Sahin, Department of Mathematics, Faculty of Science, Arsham Borumand Saeid, Dept. of Pure Mathematics, Faculty Ataturk University, Erzurum 25240, Turkey, of Mathematics and Computer, Shahid Bahonar University of Email: [email protected]. Kerman, Kerman, Iran, Email: [email protected]. Ibrahim M. Hezam, Department of computer, Faculty of Mohammad Hamidi, Department of Mathematics, Payame Education, Ibb University, Ibb City, Yemen, Noor University (PNU), Tehran, Iran. Email: [email protected]. Email: [email protected]. Aiyared Iampan, Department of Mathematics, School of Lemnaouar Zedam, Department of Mathematics, Faculty of Science, University of Phayao, Phayao 56000, Thailand, Mathematics and Informatics, University Mohamed Boudiaf, Email: [email protected]. M’sila, Algeria, Email: [email protected]. Ameirys Betancourt-Vázquez, 1 Instituto Superior Politécnico M. Al Tahan, Department of Mathematics, Lebanese de Tecnologias e Ciências (ISPTEC), Luanda, International University, Bekaa, Lebanon, Angola, Email: [email protected]. Email: [email protected]. Karina Pérez-Teruel, Universidad Abierta para Adultos R. A. Borzooei, Department of Mathematics, Shahid Beheshti (UAPA), Santiago de los Caballeros, República Dominicana, University, Tehran, Iran, [email protected]. E-mail: [email protected]. Sudan Jha, Pokhara University, Kathmandu, Nepal, Neilys González Benítez, Centro Meteorológico Pinar del Río, Email: [email protected]. Cuba, Email: [email protected]. Mujahid Abbas, Department of Mathematics and Applied Jesus Estupinan Ricardo, Centro de Estudios para la Calidad Mathematics, University of Pretoria Hatfield 002, Pretoria, Educativa y la Investigation Cinetifica, Toluca, Mexico, South Africa, Email: [email protected]. Email: [email protected]. Željko Stević, Faculty of Transport and Traffic Victor Christianto, Malang Institute of Agriculture (IPM), Engineering Doboj, University of East Sarajevo, Lukavica, East Malang, Indonesia, Email: [email protected]. Sarajevo, Bosnia and Herzegovina, Wadei Al-Omeri, Department of Mathematics, Al-Balqa Email: [email protected]. Applied University, Salt 19117, Jordan, Michael Gr. Voskoglou, Mathematical Sciences School of Email: [email protected]. Technological Applications, Graduate Technological Ganeshsree Selvachandran, UCSI University, Jalan Menara Educational Institute of Western Greece, Patras, Greece, Gading, Kuala Lumpur, Malaysia, Email: [email protected]. Email: [email protected]. Angelo de Oliveira, Ciencia da Computacao, Universidade Ilanthenral Kandasamy, School of Computer Science Federal de Rondonia, Porto Velho - Rondonia, Brazil, and Engineering (SCOPE), Vellore Institute of Technology Email: [email protected]. (VIT), Vellore 632014, Tamil Nadu, India, Valeri Kroumov, Okayama University of Science, Japan, Email: [email protected] Email: [email protected]. Kul Hur, Wonkwang University, Iksan, Jeollabukdo, South Rafael Rojas, Universidad Industrial de Santander, Korea, Email: [email protected]. Bucaramanga, Colombia, Kemale Veliyeva & Sadi Bayramov, Department of Algebra Email: [email protected]. and Geometry, Baku State University, 23 Z. Khalilov Str., Walid Abdelfattah, Faculty of Law, Economics and AZ1148, Baku, Azerbaijan, Email: [email protected], Management, Jendouba, Tunisia, Email: Email: [email protected]. [email protected]. Irma Makharadze & Tariel Khvedelidze, Ivane Javakhishvili Galina Ilieva, Paisii Hilendarski, University of Plovdiv, 4000 Tbilisi State University, Faculty of Exact and Natural Sciences, Plovdiv, Bulgaria, Email: [email protected]. Tbilisi, Georgia. Paweł Pławiak, Institute of Teleinformatics, Cracow Inayatur Rehman, College of Arts and Applied Sciences, University of Technology, Warszawska 24 st., F-5, 31-155 Dhofar University Salalah, Oman,Email: [email protected]. Krakow, Poland, Email: [email protected]. Riad K. Al-Hamido, Math Department, College of Science, Al- E. K. Zavadskas, Vilnius Gediminas Technical University, Copyright © Neutrosophic Sets and Systems, 2020 Editorial Board ISBN 978-1-59973-671-6 University of New Mexico Vilnius, Lithuania, Email: [email protected]. Email: [email protected]. Darjan Karabasevic, University Business Academy, Novi Sad, Tieta Putri, College of Engineering Department of Computer Serbia, Email: [email protected]. Science and Software Engineering, University of Canterbury, Dragisa Stanujkic, Technical Faculty in Bor, University of Christchurch, New Zeeland. Belgrade, Bor, Serbia, Email: [email protected]. Mumtaz Ali, Deakin University, Victoria 3125, Australia, Luige Vladareanu, Romanian Academy, Bucharest, Romania, Email: [email protected]. Email: [email protected]. Sergey Gorbachev, National Research Tomsk State Hashem Bordbar, Center for Information Technologies and University, 634050 Tomsk, Russia, Email: [email protected]. Applied Mathematics, University of Nova Gorica, Slovenia, E- Willem K. M. Brauers, Faculty of Applied Economics, mail: [email protected]. University of Antwerp, Antwerp, Belgium, Mihaela Colhon, University of Craiova, Computer Science Email: [email protected]. Department, Craiova, Romania, M. Ganster, Graz University of Technology, Graz, Austria, Emails: [email protected]. Email: [email protected]. Philippe Schweizer, Independant Researcher, Av. de Lonay Umberto Rivieccio, Department of Philosophy, University of 11, 1110 Morges, Switzerland, Email: [email protected]. Genoa, Italy, Email: [email protected]. Saeid Jafari, College of Vestsjaelland South, Slagelse, F. Gallego Lupiaňez, Universidad Complutense, Madrid, Denmark, Email: [email protected]. Spain, Email: [email protected]. Fernando A. F. Ferreira, ISCTE Business School, BRU-IUL, Francisco Chiclana, School of Computer Science and University Institute of Lisbon, Avenida das Forças Armadas, Informatics, De Montfort University, The Gateway, Leicester, 1649-026 Lisbon, Portugal, LE1 9BH, United Kingdom, Email: [email protected]. Email: [email protected]. Jean Dezert, ONERA, Chemin de la Huniere, 91120 Palaiseau, Julio J. Valdés, National Research Council Canada, M-50, 1200 France, Email: [email protected]. Montreal Road, Ottawa, Ontario K1A 0R6, Canada, Copyright © Neutrosophic Sets and Systems, 2020 ISBN 978-1-59973-671-6 University of New Mexico Contents Ibrahim Yasser, Abeer Twakol, A. A. Abd El-Khalek, Ahmed Samrah and A. A. Salama COVID-X: Novel Health-Fog Framework Based on Neutrosophic Classifier for Confrontation Covid-19…………....1 A.A. Salama, Ahmed Sharaf Al-Din, Issam Abu Al-Qasim, Rafif Alhabib and Magdy Badran, Introduction to Decision Making for Neutrosophic Environment “Study on the Suez Canal Port, Egypt”..……22 Remya. P. B and Francina Shalini. A, Neutrosophic Vague Binary BCK/BCI-algebra ……………..45 Masoud Ghods and Zahra Rostami, Introduction to Topological Indices in Neutrosophic Graphs...68 A. Sahaya Sudha, Luiz Flavio Autran Monteiro Gomes and K.R. Vijayalakshmi, Assessment of MCDM problems by TODIM using aggregated weights..........................................................................................78 Prakasam Muralikrishna and Surya Manokaran, MBJ – Neutrosophic – Ideal of – Algebra………….99 Nidhi Singh, Avishek Chakraborty, Soma Bose Biswas, Malini Majumdar, A Study of Social Media linked MCGDM Skill under Pentagonal Neutrosophic Environment in the Banking Industry…………119 Rakhal Das and Binod Chandra Tripathy, Neutrosophic Multiset Topologica Space……………...142 Nidhi Singh, Avishek Chakraborty, Soma Bose Biswas and Malini Majumdar, Impact of Social Media in Banking Sector under Triangular Neutrosophic Arena Using MCGDM Technique…………….153 Nilabhra Paul, Deepshikha Sarma, Akash Singh and Uttam Kumar Bera, A Generalized Neutrosophic Solid Transportation Model with Insufficient Supply……………………………………………...177 Fatimah M. Mohammed and Sarah W. Raheem, Generalized b Closed Sets and Generalized b Open Sets in Fuzzy Neutrosophic bi-Topological Spaces………………………………………………..188 Muhammad Riaz, Florentin Smarandache, Faruk Karaaslan, Masooma Raza Hashmi and Iqra Nawaz, Neutrosophic Soft Rough Topology and its Applications to Multi-Criteria Decision-Making…..198 Kousik Das, Sovan Samanta, Kajal De and Xavier Encarnacion, A Study on Discrete Mathematics: Sum Distance in Neutrosophic Graphs with Application……………………………………………….220 Nivetha Martin, Florentine Smarandache, I.Pradeepa, N.Ramila Gandhi and P.Pandiammal, Exploration of the Factors Causing Autoimmune Diseases using Fuzzy Cognitive Maps with Concentric Neutrosophic Hypergraphic Approach……………………………………………………….……232 Aiman Muzaffar, Md Tabrez Nafis and Shahab Saquib Sohail, Neutrosophy Logic and its Classification: An Overview…………………………………………………………………………………….……239 Abhijit Saha, Florentin Smarandache, Jhulaneswar Baidya and Debjit Dutta, MADM Using m- Generalized q-Neutrosophic Sets …………………………………………………………………..252 Abhijit Saha, Irfan Deli, and Said Broumi, HESITANT Triangular Neutrosophic Numbers and Their Applications to MADM ……………………………………………………………………………..269 Copyright © Neutrosophic Sets and Systems, 2020 ISBN 978-1-59973-671-6 University of New Mexico Mohsin Khalid, Florentin Smarandache, Neha Andaleeb Khalid and Said Broumi, Translative and Multiplicative Interpretation of Neutrosophic Cubic Set……………299 Md. Hanif PAGE and Qays Hatem Imran, Neutrosophic Generalized Homeomorphism…………340 Shilpi Pal and Avishek Chakraborty, Triangular Neutrosophic Based Production Reliability Model of Deteriorating Item with Ramp Type Demand under Shortages and Time Discounting ……..…347 S. Satham Hussain, Saeid Jafari, Said Broumi and N. Durga, Operations on Neutrosophic Vague Graphs ……………………………………………………………………………………….………….……368 Hanieh Shambayati, Mohsen Shafiei Nikabadi, Seyed Mohammad Ali Khatami Firouzabadi and Mohammad Rahmanimanesh, Partner Selection in Virtual Enterprises using the Interval Neutrosophic Fuzzy Approach ……………………………………………………………………..387 Mujahid Abbas, Ghulam Murtaza, and Florentin Smarandache, Basic operations on hypersoft sets and hypersoft point ………………………………………………………………………………………407 K. Porselvi, B. Elavarasan, F. Smarandache and Y. B. Jun, Neutrosophic ℵ−bi-ideals in semigroups.422 Chinnadurai V and Sindhu M P, A Novel Approach for Pairwise Separation Axioms on Bi-Soft Topology Using Neutrosophic Sets and An Output Validation in Real Life Application ………435 K.Radhika and K.Arun Prakash, Ranking of Pentagonal Neutrosophic Numbers and its Applications to solve Assignment Problem………………………………………………………………………..464 Said Broumi, Malayalan Lathamaheswari, Ruipu Tan ,Deivanayagampillai Nagarajan, Talea Mohamed, Florentin Smarandache and Assia Bakali, A new distance measure for trapezoidal fuzzy neutrosophic numbers based on the centroids……………………………………………………..……………....478 Nivetha Martin and Florentin Smarandache, Introduction to Combined Plithogenic Hypersoft Sets……………………………………………………………………………………………..……..503 Qays Hatem Imran, R. Dhavaseelan, Ali Hussein Mahmood Al-Obaidi, and Md. Hanif PAGE, On Neutrosophic Generalized Alpha Generalized Continuity ………………………………………...511 Suman Das and Surapati Pramanik, Generalized neutrosophic b-open sets in neutrosophic topological space ……………………………………………………………………………………522 Madad Khan, Muhammad Zeeshan, Saima Anis, Abdul Sami Awan and Florentin Smarandache, Neutrosophic Soft Fixed Points……………………………………………………………………..531 M. Sarwar Sindhu, Tabasam Rashid and Agha Kashif, Selection of Alternative under the Framework of Single-Valued Neutrosophic Sets…………………………………………………………………...547 Rajesh Kumar Saini, Atul Sangal and Manisha, Application of Single Valued Trapezoidal Neutrosophic Numbers in Transportation Problem…………………………………………………..…………..563 Copyright © Neutrosophic Sets and Systems, 2020 Neutrosophic Sets and Systems, Vol. 53, 0202 University of New Mexico COVID-X: Novel Health-Fog Framework Based on Neutrosophic Classifier for Confrontation Covid-19 Ibrahim Yasser 1,*, Abeer Twakol 2, A. A. Abd El-Khalek 3, Ahmed Samrah 4 and A. A. Salama 5 1 Communications and Electronics Engineering Department, Nile Higher Institute for Engineering and Technology Mansoura, Egypt; [email protected]. 2 Department of Computer Engineering, Faculty of Engineering, Benha University, Egypt; [email protected]. 3 Communications and Electronics Engineering Department, Nile Higher Institute for Engineering and Technology Mansoura, Egypt; [email protected]. 4 Electronics and Communications Engineering Department, Faculty of Engineering, Mansoura University, Egypt; [email protected]. 5 Department of Mathematics and Computer Science, Faculty of Sciences, Port Said University, Egypt; [email protected]. * Correspondence: [email protected] Abstract: The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly transmittable and pathogenic with no clinically approved antiviral drug or vaccine available for treatment. Technological developments like edge computing, fog computing, Internet of Things (IoT), and Big Data have gained importance due to their robustness and ability to provide diverse response characteristics based on target application. In this paper, we present a novel Health-Fog framework universal system to automatically assist the early diagnosis, treatment, and preventive of people with COVID-19 in an efficient manner. Achieving an empirical of the proposed framework which mix between deep learning and Neutrosophic classifiers in the task of classifying COVID-19. There are some proposed applications based on the proposed COVID-X framework such as smart mask, smart medical suit, safe spacer, and Medical Mobile Learning (MML) will be presented. Computer-aided diagnosis systems could assist in the early detection of COVID-19 abnormalities and help to monitor the progression of the disease, potentially reduce mortality rates. Keywords: Coronavirus Pneumonia; COVID-19; Intelligent Medical System; Fog Computing; Health-Fog; Neutrosophic; Deep Learning; Computer-Aided Diagnosis. 1.Introduction The Coronavirus disease 2019-2020 pandemic (COVID-19) poses unprecedented challenges for governments and societies around the world. In addition to medical measures, non-pharmaceutical measures have proven to be critical for delaying and containing the spread of the virus. This includes (aggressive) testing and tracing, bans on large gatherings, school and university closures, international and domestic mobility restrictions and physical isolation, up to total lockdowns of regions and countries. However, effective and rapid decision-making during all stages of the pandemic requires reliable and timely data not only about infections, but also about human behavior, especially on mobility and physical co-presence of people [1]. There are growing privacy concerns I. Yasser; A. Twakol; A. A. Abd El-Khalek; A. Samrah; A.A.Salama. COVID-X: Novel Health-Fog Framework Based on Neutrosophic Classifier for Confrontation Covid-19 Neutrosophic Sets and Systems, Vol. 55, 0202 2 about the ways governments use data to respond to the COVID-19 crisis. As new technologies emerge that aim to collect, disseminate and use data in order to support the fight against COVID-19, we need to ensure they respect ethical best practices. Even in times of crisis, we need to comply with data privacy regulations and ensure that the data is used ethically. One way to do that is to establish independent ethical committees or data trusts. Their role will be to create data governance mechanisms to find the balance between competing public interests, while protecting individual privacy. Examples of such rules include setting up clear guidelines on the purpose and timeline for the use of the data, defining clear processes for the access, processing and termination of use of personal data at the end of the crisis. Tracking a patient from symptoms, lab results and treatments can help a hospital understand how a disease is progressing through a community, how effective treatments are and what isn’t working [0]. Technological developments like edge computing, fog computing, Internet of Things (IoT), and Big Data have gained importance due to their robustness and ability to provide diverse response characteristics based on target application. These emerging technologies provide storage, computation, and communication to edge devices, which facilitate and enhance mobility, privacy, security, low latency, and network bandwidth so that fog computing can perfectly match latency- sensitive or real-time applications [3]. Healthcare is one of the prominent application areas that requires accurate and real-time results, and people have introduced Fog Computing in this field which leads to a positive progress. With Fog computing, we bring the resources closer to the users thus decreasing the latency and thereby increasing the safety measure. Getting quicker results implies fast actions for critical COVID- 19 patients. But faster delivery of results is not enough as with such delicate data we cannot compromise with the accuracy of the result [4]. One way to obtain high accuracies is by using state-of-the-art analysis software typically those that employ deep learning and their variants trained on a large dataset. Deep learning techniques showed in the last years promising results to accomplish radiological tasks by automatic analyzing multimodal medical images [5]. Deep convolutional neural networks (DCNNs) are one of the powerful deep learning architectures and have been widely applied in many practical applications such as pattern recognition and image classification in an intuitive way [6]. DCNNs are able to handle four manners as follow [7]: 1) training the neural network weights on very large available datasets; 2) fine-tuning the network weights of a pre-trained DCNN based on small datasets; 3) Applying unsupervised pre-training to initialize the network weights before putting DCNN models in an application; and 4) using pre-trained DCNN is also called an off-the-shelf CNN being used as a feature extractor. 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 recognition. In this research, a convolutional neural network (CNN) model with data uncertainty handling; referred as NCNN (Neutrosophic Convolutional Neural Network); is proposed for classification task. The Neutrosophic is a new view of Modeling , designed to effectively deal underlying doubts in the real world, as it came to replace binary logic that recognized right and wrong by introducing a third neutral case which could be interpreted as non-specific or uncertain. Founded by Florentin Smarandache [8], he presented it in 1999 as a generalization of fuzzy logic. As an extension of this, A. A. Salama introduced the Neutrosophic crisp sets Theory as a generalization of crisp sets theory [9] and developed, inserted and formulated new concepts in the fields of mathematics, statistics, and computer science and information systems through Neutrosophic [10-12]. Neutrosophic has grown significantly in recent years through its application in measurement, sets and graphs and in many scientific and practical fields [13- 17]. I. Yasser; A. Twakol; A. A. Abd El-Khalek; A. Samrah; A. A. Salama. COVID-X: Novel Health-Fog Framework Based on Neutrosophic Classifier for Confrontation Covid-19

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