Enhanced Cloud Computing Security Using Application-Based Multi-Factor Authentication (MFA) for Communication Systems

Authors: Remigius Obinna Okeke, Stanislaus Okechukwu Orimadike

Source: European Journal of Electrical Engineering and Computer Science. 8:1-8

Subject Terms: FOS: Computer and information sciences, Security Protocols for Authentication and Key Exchange, Authentication, Computer Networks and Communications, Theoretical Framework of Cognitive Informatics and Computational Intelligence, 02 engineering and technology, Remote User Authentication, Security Challenges in Cloud Computing, Cloud Computing, Computer science, Programming language, Operating system, Artificial Intelligence, Computer security, Authentication (law), Computer Science, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing security, Cloud computing, Factor (programming language), Information Systems

A Schematic Review of Knowledge Reasoning Approaches Based on the Knowledge Graph

Authors: I. Vergara, Liza Chung Lee

Source: Journal of Enterprise and Business Intelligence. :179-189

Subject Terms: Data Quality Assessment and Improvement, 0301 basic medicine, Artificial intelligence, Schematic, Knowledge management, FOS: Political science, Social Sciences, FOS: Law, 02 engineering and technology, Management Science and Operations Research, Knowledge Representation, Pace, 7. Clean energy, Decision Sciences, Data science, Semantic Analysis, 03 medical and health sciences, Engineering, Artificial Intelligence, Personal knowledge management, Descriptive knowledge, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Graph Neural Networks, Signal Processing on Graphs, Political science, Knowledge engineering, Knowledge graph, Geography, Electronic engineering, 9. Industry and infrastructure, 4. Education, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Realm, Organizational learning, Knowledge Graph Embedding, 15. Life on land, Knowledge representation and reasoning, Computer science, World Wide Web, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Open Knowledge Base Connectivity, Law, The Internet, Geodesy

A Review of Fuzzy Cognitive Maps Extensions and Learning

Authors: Jiya Adama Jiya, Obunadike N Georgina, Atomatofa Emmanuel O.

Source: Journal of Information Systems and Informatics, Vol 5, Iss 1, Pp 300-323 (2023)

Subject Terms: Artificial intelligence, Mathematical analysis, Inference, Artificial Intelligence, Machine learning, QA1-939, Fuzzy Cognitive Maps, FOS: Mathematics, evolutionary learning, learning algorithms, Probabilistic logic, Domain (mathematical analysis), 9. Industry and infrastructure, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Fuzzy cognitive map, QA75.5-76.95, Application of Fuzzy Cognitive Maps in Modeling, Computer science, Process (computing), Fuzzy logic, fuzzy cognitive maps, Operating system, Fuzzy control system, Electronic computers. Computer science, Computer Science, Physical Sciences, Fuzzy classification, fuzzy cognitive map learning, Mathematics

Access URL: https://doaj.org/article/c7c416395d024ee5a5c5fc8799678e18

Metadata as a Methodological Commons: From Aboutness Description to Cognitive Modeling

Authors: Wei Liu, Yaming Fu, Qianqian Liu

Source: Data Intelligence. 5:289-302

Subject Terms: FOS: Computer and information sciences, Data Integration, 0301 basic medicine, Metadata modeling, QoS-Aware Web Services Composition and Semantic Matching, Epistemology, Knowledge Representation, Data science, Semantic Analysis, 03 medical and health sciences, Semantic grid, Artificial Intelligence, Information retrieval, Semantic Web, Metadata, Ontology, Theoretical Framework of Cognitive Informatics and Computational Intelligence, 05 social sciences, Metadata repository, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, World Wide Web, Semantic Matching, Philosophy, Linked Data, Computer Science, Physical Sciences, 0509 other social sciences, Semantic Web and Ontology Development, Information Systems

Evaluation of features and channels of electroencephalographic signals for biometric systems

Authors: Dustin Carrión-Ojeda, Paola Martínez-Arias, Rigoberto Fonseca-Delgado, Israel Pineda, Héctor Mejía-Vallejo

Source: EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-24 (2024)

Subject Terms: Artificial intelligence, TK7800-8360, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, TK5101-6720, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), Epilepsy Detection, EEG Analysis, Artificial Intelligence, Brain-Inspired Systems, Channels, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Deep Learning for EEG, Biometric System, Features, Electroencephalograms, Physiological Signals, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Life Sciences, Electroencephalography, Brain-Computer Interfaces in Neuroscience and Medicine, Computer science, FOS: Psychology, Discrete-Wavelet, Biometrics, Computer Science, Physical Sciences, Telecommunication, Electronics, Neuroscience, Emotion Recognition and Analysis in Multimodal Data

File Description: text

Access URL: https://doaj.org/article/60e5964bc82b4c83be5e4410c3a9531a
https://tuprints.ulb.tu-darmstadt.de/29184/1/13634_2024_Article_1155.pdf

Modeling implicit bias with fuzzy cognitive maps

Authors: Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa

Contributors: Universidade Estadual Paulista (UNESP), Informatics and Applied Informatics, NAPOLES RUIZ, Gonzalo, Grau, Isel, CONCEPCION PEREZ, Leonardo, KOUTSOVITI-KOUMERI, Lisa, Papa, João Paulo

Source: Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Economics, cs.LG, fairness, Normalization (sociology), 02 engineering and technology, implicit bias, Machine Learning (cs.LG), Cognition, Sociology, Convergence analysis, Brain-Inspired Systems, 0202 electrical engineering, electronic engineering, information engineering, Cognitive Computing, Physics, Fuzzy cognitive map, Membership function, Attractor, Mechanism (biology), Application of Fuzzy Cognitive Maps in Modeling, FOS: Philosophy, ethics and religion, FOS: Sociology, Algorithm, fuzzy cognitive maps, Physical Sciences, Convergence (economics), Fairness, Epistemology, Implicit bias, Mathematical analysis, Quantum mechanics, convergence analysis, Fuzzy cognitive maps, Artificial Intelligence, Fuzzy Cognitive Maps, FOS: Mathematics, Biology, Economic growth, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Modeling, Cognitive map, Fixed point, Computer science, Fuzzy logic, Philosophy, Fuzzy control system, Anthropology, Computer Science, Nonlinear system, Mathematics, Neuroscience

File Description: application/pdf

Access URL: http://arxiv.org/abs/2112.12713
https://research.tilburguniversity.edu/en/publications/eff5ea74-b657-4501-b902-d500a3497a08
https://doi.org/10.1016/j.neucom.2022.01.070
https://biblio.vub.ac.be/vubir/modeling-implicit-bias-with-fuzzy-cognitive-maps(16570199-c470-4c01-8c1c-cf5ac6fff785).html
http://hdl.handle.net/1942/36583

A new group decision-making framework based on 2-tuple linguistic complex $ q $-rung picture fuzzy sets

Authors: Muhammad Akram, Ayesha Khan, Uzma Ahmad, José Carlos R. Alcantud, Mohammed M. Ali Al-Shamiri

Source: Mathematical Biosciences and Engineering, Vol 19, Iss 11, Pp 11281-11323 (2022)

Subject Terms: Rough Sets Theory and Applications, Intuitionistic Fuzzy Sets, Artificial intelligence, hamacher operators, Decision Making, Fuzzy Rough Sets, Social Sciences, Group Decision Making, 02 engineering and technology, Multi-Criteria Decision Making, Management Science and Operations Research, Social psychology, Quantum mechanics, Decision Sciences, decision matrix, Fuzzy Logic, Artificial Intelligence, Group decision-making, QA1-939, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Psychology, aggregation function, Probabilistic Rough Sets, Group (periodic table), Natural language processing, Physics, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Linguistics, 2-tuple linguistic representation model, Discrete mathematics, Computer science, accuracy function, FOS: Philosophy, ethics and religion, Fuzzy logic, FOS: Psychology, Philosophy, Computational Theory and Mathematics, Fuzzy Sets, Computer Science, Physical Sciences, FOS: Languages and literature, Fuzzy set, Tuple, TP248.13-248.65, Mathematics, Biotechnology

Access URL: https://pubmed.ncbi.nlm.nih.gov/36124591
https://doaj.org/article/226c9c1384c149f38b331cab0ad06fd8

Methodological aspects for cognitive architectures construction: a study and proposal

Authors: Juan Pablo Jiménez, Luis Martin, Iván Axel Dounce, Cynthia Ávila-Contreras, Félix Ramos

Source: Artificial Intelligence Review. 54:2133-2192

Subject Terms: Cognitive science, Artificial intelligence, Economics, Cognitive Neuroscience, Construct (python library), Evolutionary biology, 02 engineering and technology, 7. Clean energy, Visual arts, Data science, 03 medical and health sciences, Cognition, 0302 clinical medicine, Artificial Intelligence, Field (mathematics), Architecture, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Cognitive Computing, Psychology, 10. No inequality, Biology, 9. Industry and infrastructure, 4. Education, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Pure mathematics, Life Sciences, Application of Fuzzy Cognitive Maps in Modeling, Brain-Computer Interfaces in Neuroscience and Medicine, Cognitive architecture, 16. Peace & justice, Computer science, Management science, Programming language, 3. Good health, FOS: Psychology, Function (biology), Cognitive Informatics, Computer Science, Physical Sciences, Perception, FOS: Civil engineering, Mathematics, Art, Neuroscience

Access URL: https://link.springer.com/content/pdf/10.1007/s10462-020-09901-x.pdf
https://dblp.uni-trier.de/db/journals/air/air54.html#CervantesMDAR21
https://doi.org/10.1007/s10462-020-09901-x
https://link.springer.com/article/10.1007/s10462-020-09901-x
https://link.springer.com/content/pdf/10.1007/s10462-020-09901-x.pdf

A Method for Knowledge Representation to Design Intelligent Problems Solver in Mathematics Based on Rela-Ops Model

Authors: Hien D. Nguyen, V. Nhon, Vuong T. Pham, Ali Selamat, Xinyue Liu

Source: Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Digibug: Repositorio Institucional de la Universidad de Granada
instname
IEEE Access, Vol 8, Pp 76991-77012 (2020)

Subject Terms: Artificial intelligence, Class (philosophy), FOS: Political science, 02 engineering and technology, Knowledge base, Inference, Brain-Inspired Systems, 0202 electrical engineering, electronic engineering, information engineering, Political science, Base (topology), Ontology, 4. Education, Politics, intelligent problem-solver, Intelligent Tutoring Systems, Knowledge Tracing, Programming language, FOS: Philosophy, ethics and religion, Solver, Physical Sciences, Object (grammar), Electrical engineering. Electronics. Nuclear engineering, Intelligent problem-solver, Effectiveness of Intelligent Tutoring Systems, QA75 Electronic computers. Computer science, Artificial Intelligence Planning and Reasoning, FOS: Law, Epistemology, Knowledge Representation, Mathematical analysis, Knowledge-Based Systems, Theoretical computer science, knowledge-based systems, Artificial Intelligence, FOS: Mathematics, knowledge engineering, Knowledge engineering, Domain (mathematical analysis), Theoretical Framework of Cognitive Informatics and Computational Intelligence, Knowledge-based systems, Knowledge representation and reasoning, Computer science, TK1-9971, Philosophy, Knowledge representation, Computer Science, Domain knowledge, Representation (politics), Law, Mathematics

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072439.pdf
https://doaj.org/article/d8d2efb9424a402cbbc2685551783a5f
http://hdl.handle.net/10481/62405

Expert- Independent Initial Weights Assignment Technique for Learning Fuzzy Cognitive Map With Hebbian Learning Algorithms

Authors: Eli Adama Jiya, Francis S. Bakpo

Subject Terms: Artificial neural network, Composite material, Artificial intelligence, Wake-sleep algorithm, Matrix (chemical analysis), Geometry, 7. Clean energy, Neuro-fuzzy, Artificial Intelligence, Machine learning, Fuzzy Cognitive Maps, FOS: Mathematics, Cognitive Computing, Connection (principal bundle), 4. Education, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Fuzzy cognitive map, Modeling, Generalization error, Application of Fuzzy Cognitive Maps in Modeling, Computer science, Materials science, Algorithm, Fuzzy logic, Fuzzy control system, Computer Science, Physical Sciences, Hebbian theory, Leabra, Mathematics

A Novel Deep Learning Approach for Semantic Interoperability Between Heteregeneous Multi-Agent Systems

Authors: Noureddine El Abid Amrani, Oum El Kheir Abra, Mohamed Youssfi, Omar Bouattane

Source: Engineering, Technology & Applied Science Research. 9:4566-4573

Subject Terms: Artificial intelligence, Information Systems and Management, Semantic interoperability, Social Sciences, web semantic, 02 engineering and technology, Schema Matching, Semantic Web Services, Decision Sciences, Semantic Link Network, Semantic Analysis, Semantic grid, middleware, Artificial Intelligence, Field (mathematics), multi-agent system, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, ontology, Semantic computing, Semantic Web, Management and Reproducibility of Scientific Workflows, Software engineering, Semantic technology, Theoretical Framework of Cognitive Informatics and Computational Intelligence, 05 social sciences, Pure mathematics, deep learning, Interoperability, semantic interoperability, Computer science, Distributed computing, World Wide Web, Computer Science, Physical Sciences, 0503 education, Semantic Web and Ontology Development, Mathematics, Middleware (distributed applications)

Access URL: http://etasr.com/index.php/ETASR/article/download/2841/pdf
https://www.etasr.com/index.php/ETASR/article/view/2841

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

Authors: Yajuan Tang, Shiwei Lai, Yanyi Rao, Wen Zhou, Fangyuan Zhu, Liming Chen, Dan Deng, Jing Wang, Tao Cui, Yuwei Zhang, Jun Li, Di Wu, Zhusong Liu, Huang Huang, Xuan Zhou, Zhao Wang, Zhao Zhang, Chao Li, Kai Chen, Wei Zhou, Yun Li, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, Sunli Feng, Jiayin Qin, Haige Xiang, Zhigang Cao, Lieguang Zeng, Zhixing Yang

Source: EAI Endorsed Transactions on Mobile Communications and Applications, Vol 7, Iss 2 (2022)

Subject Terms: Computer Networks and Communications, Distributed data store, TK5101-6720, 7. Clean energy, Cloud Robotics and Automation Research, Engineering, Artificial Intelligence, Edge Computing, Data storage, Wireless network, Computer network, Computer data storage, 9. Industry and infrastructure, Internet of Things and Edge Computing, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Computer hardware, Edge computing, Computer science, Distributed computing, B5G, Mobile Edge Computing, Overhead (engineering), Enhanced Data Rates for GSM Evolution, Operating system, wireless transmission, Control and Systems Engineering, 5G Networks, Computer Science, Physical Sciences, Telecommunication, Wireless, Telecommunications

Access URL: https://doaj.org/article/5148705dc11e4a7ab1a7900de4cc2b15

Editorial: Cognitive Brain-Inspired Cyber-Physical Systems in Industrial Informatics

Authors: Arun Kumar Sangaiah, Patrick Siarry

Source: Front Neurorobot
Frontiers in Neurorobotics, Vol 16 (2022)

Subject Terms: Cognitive science, Artificial intelligence, 0209 industrial biotechnology, Informatics, Neurosciences. Biological psychiatry. Neuropsychiatry, 02 engineering and technology, Cyber-physical system, Data science, industrial informatics, 03 medical and health sciences, Cognition, Engineering, 0302 clinical medicine, cognitive cyber-physical systems, Artificial Intelligence, Brain-Inspired Systems, Psychology, cyber physical system (CPS), Human–computer interaction, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Computer science, FOS: Psychology, Operating system, cognitive system, Neural Informatics, brain-inspired computation, Cognitive Informatics, Electrical engineering, Computer Science, Physical Sciences, RC321-571, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/35812783
https://doaj.org/article/d981b01e7fd54e998a8aac29aa9c184c

Improved Computing Performance for Listing Combinatorial Algorithms Using Multi-Processing MPI and Thread Library

Authors: Nguyen Dinh Lau

Source: International Journal of Computer Science and Information Technology. 10:33-48

Subject Terms: FOS: Computer and information sciences, Parallel computing, Thread (computing), Economics, Parallel algorithms, Social Sciences, Business, Management and Accounting, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Management Information Systems, Listing (finance), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Cognitive Computing, Theoretical Framework of Cognitive Informatics and Computational Intelligence, E-commerce and Stakeholder Analysis in Higher Education, Computer science, Algorithm, Operating system, Computer Science, Physical Sciences, substituend, inversion, Innovations in Education Technology and Learning Systems, Finance, Information Systems

Access URL: https://zenodo.org/record/1479438/files/10518ijcsit04.pdf
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3290556

Hybrid intelligent framework for automated medical learning

Authors: Asma Belhadi, Youcef Djenouri, Vicente García‐Díaz, Essam H. Houssein, Jerry Chun‐Wei Lin

Source: Expert systems
e12737

Subject Terms: Artificial intelligence, Health Professions, 02 engineering and technology, VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420, Graph, Theoretical computer science, automated medical learning, Health Information Management, Artificial Intelligence, Health Sciences, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, multi-agent systems, Data mining, Machine Learning in Healthcare and Medicine, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Deep Learning Applications in Healthcare, ontology matching, Medical Concept Embedding, Deep learning, Computer science, Process (computing), 3. Good health, Operating system, Computer Science, Physical Sciences, distributed learning

File Description: application/pdf

Access URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/exsy.12737
https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.12737
https://hdl.handle.net/11250/3051203
https://hdl.handle.net/11250/2789308

PERO2 Machine Teaching based on a Normalized Ontological Knowledge Base

Authors: Y. Askane, A. Elhore, M. Chahbar

Source: International Journal of Scientific Research in Computer Science and Engineering. 5:63-74

Subject Terms: Earth science, Nursing, 02 engineering and technology, Biostatistics, Environmental engineering science, FOS: Health sciences, Biogeosciences, 7. Clean energy, Engineering ethics, Semantic Analysis, Engineering, Sociology, Artificial Intelligence, Applied science, 11. Sustainability, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Science education, Natural Language Processing, Semantic Web, Public health, 4. Education, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Geology, FOS: Earth and related environmental sciences, Social science, Mathematics education, FOS: Sociology, Computer Science, Physical Sciences, Medicine, Semantic Web and Ontology Development, Mathematics

Access URL: http://www.isroset.org/pub_paper/IJSRCSE/12-IJSRCSE-00409.pdf

Energy saving by applying the fuzzy cognitive map control in controlling the temperature and humidity of room

Authors: Behrooz, Farinaz, Ramli, Abdul Rahman, Samsudin, Khairulmizam, Eliasi, Hossein

Source: International Journal of Physical Sciences. 12:13-23

Subject Terms: Artificial intelligence, Robustness (evolution), 0211 other engineering and technologies, FOS: Mechanical engineering, Control (management), 02 engineering and technology, Biochemistry, Gene, 7. Clean energy, Neuro-fuzzy, Engineering, Artificial Intelligence, 11. Sustainability, Fuzzy Cognitive Maps, Control theory (sociology), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Efficient energy use, 14. Life underwater, Biology, Temperature control, Control engineering, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Fuzzy cognitive map, Controller (irrigation), Statistics, Application of Fuzzy Cognitive Maps in Modeling, Computer science, Mechanical engineering, Agronomy, Fuzzy logic, Chemistry, Air conditioning, Fuzzy control system, Electrical engineering, Computer Science, Physical Sciences, PID controller, Energy (signal processing), Simulation, Mathematics

File Description: text

Access URL: https://academicjournals.org/journal/IJPS/article-full-text-pdf/A44FE2062333.pdf
https://academicjournals.org/journal/IJPS/article-abstract/A44FE2062333
http://psasir.upm.edu.my/id/eprint/61718/
https://server.academicjournals.org/journal/IJPS/article-abstract/A44FE2062333

A Gentle Introduction to Cognitive Map Based on Input Output Linguistic Variables

Authors: Nguyễn Văn Hán, Phan Công Vinh

Source: EAI Endorsed Transactions on Context-aware Systems and Applications. 8:e11

Subject Terms: Computer Networks and Communications, 4. Education, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Distributed Constraint Optimization Problems and Algorithms, Cognitive map, Linguistics, Application of Fuzzy Cognitive Maps in Modeling, 02 engineering and technology, 15. Life on land, Computer science, 7. Clean energy, FOS: Philosophy, ethics and religion, FOS: Psychology, Philosophy, Cognition, Artificial Intelligence, Cognitive psychology, Computer Science, Physical Sciences, Fuzzy Cognitive Maps, FOS: Languages and literature, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Neuroscience

Investigation of Cyber-Security and Cyber-Crimes in Oil and Gas Sectors Using the Innovative Structures of Complex Intuitionistic Fuzzy Relations

Authors: Naeem Jan, Abdul Nasir, Mohsin S. Alhilal, Sami Ullah Khan, Dragan Pamučar, Abdulrahman Alothaim

Source: Entropy (Basel)
Entropy, Vol 23, Iss 9, p 1112 (2021)
Entropy
Volume 23
Issue 9

Subject Terms: FOS: Computer and information sciences, Intuitionistic Fuzzy Sets, Artificial intelligence, Petroleum industry, Science, QC1-999, oil and gas industry, Social Sciences, Environmental engineering, Epistemology, 02 engineering and technology, Multi-Criteria Decision Making, Management Science and Operations Research, Astrophysics, complex intuitionistic fuzzy set, Article, Decision Sciences, Engineering, Artificial Intelligence, Computer security, Cartesian product, 0202 electrical engineering, electronic engineering, information engineering, complex intuitionistic fuzzy relation, Omnipotence, Physics, Information Security Policy Compliance and Awareness, Theoretical Framework of Cognitive Informatics and Computational Intelligence, FOS: Environmental engineering, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, QB460-466, Fuzzy logic, Philosophy, cyber-security, Fuzzy Sets, Computer Science, Physical Sciences, Fuzzy set, Hasse diagram, block chain, Information Systems

File Description: application/pdf

Access URL: https://www.mdpi.com/1099-4300/23/9/1112/pdf
https://pubmed.ncbi.nlm.nih.gov/34573738
https://doaj.org/article/2d6862f0ccca40c2920387e6ba00b5a6
https://www.mdpi.com/1099-4300/23/9/1112
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471212
https://www.mdpi.com/1099-4300/23/9/1112/pdf
https://dblp.uni-trier.de/db/journals/entropy/entropy23.html#JanNAKPA21

A General Knowledge Representation Model of Concepts

Authors: Carlos Ramírez, Benjamín Valdés

Source: Advances in Knowledge Representation ISBN: 9789535105978
Advances in Knowledge Representation

Subject Terms: Artificial Intelligence Planning and Reasoning, FOS: Political science, Theoretical Framework of Cognitive Informatics and Computational Intelligence, Politics, FOS: Law, Knowledge Representation, Computer science, Artificial Intelligence, Computer Science, Physical Sciences, Representation (politics), Political science, Law, Semantic Web and Ontology Development

Access URL: https://www.intechopen.com/citation-pdf-url/36656
http://www.intechopen.com/articles/show/title/a-general-knowledge-representation-model-of-concepts
http://cdn.intechopen.com/pdfs/36656/InTech-A_general_knowledge_representation_model_of_concepts.pdf
https://cdn.intechopen.com/pdfs/36656/InTech-A_general_knowledge_representation_model_of_concepts.pdf
https://www.intechopen.com/chapters/36656
https://www.mendeley.com/catalogue/e6cf6136-0cf2-30ca-8d9a-af3035e6629f/