Literatura académica sobre el tema "FUZZY BASED APPROACH"
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Artículos de revistas sobre el tema "FUZZY BASED APPROACH"
JENA, KALYAN KUMAR, SASMITA MISHRA, SAROJANANDA MISHRA, SOURAV KUMAR BHOI y SOUMYA RANJAN NAYAK. "MRI Brain Tumor Image Analysis Using Fuzzy Rule based Approach". Journal of Research on the Lepidoptera 50, n.º 2 (25 de junio de 2019): 98–112. http://dx.doi.org/10.36872/lepi/v50i2/201012.
Texto completoMama, Rachid y Mustapha Machkour. "Fuzzy querying with SQL: Fuzzy view-based approach". Journal of Intelligent & Fuzzy Systems 40, n.º 5 (22 de abril de 2021): 9937–48. http://dx.doi.org/10.3233/jifs-202551.
Texto completoChandra, Vishal y Savita Shiwani. "Fuzzy based Effort Estimation Approach". International Journal of Computer Applications 103, n.º 17 (18 de octubre de 2014): 39–42. http://dx.doi.org/10.5120/18305-9438.
Texto completoAbuhijleh, Eman A., Mourad Massa’deh, Amani Sheimat y Abdulazeez Alkouri. "Complex Fuzzy Groups Based on Rosenfeld’s Approach". WSEAS TRANSACTIONS ON MATHEMATICS 20 (4 de agosto de 2021): 368–77. http://dx.doi.org/10.37394/23206.2021.20.38.
Texto completo., Malkhan. "Fuzzy Logic Based Approach for Analysis and Synthesis of Failure Modes". Journal of Advanced Research in Production and Industrial Engineering 8, n.º 1&2 (19 de abril de 2021): 18–22. http://dx.doi.org/10.24321/2456.429x.202102.
Texto completoZarinbal, M. y M. H. Fazel Zarandi. "Type-2 fuzzy image enhancement: Fuzzy rule based approach". Journal of Intelligent & Fuzzy Systems 26, n.º 5 (2014): 2291–301. http://dx.doi.org/10.3233/ifs-130902.
Texto completoWatanabe, Toshihiko y Hirosato Seki. "Modeling Approach Based on Modular Fuzzy Model". Journal of Advanced Computational Intelligence and Intelligent Informatics 16, n.º 5 (20 de julio de 2012): 653–61. http://dx.doi.org/10.20965/jaciii.2012.p0653.
Texto completoEFE, Burak. "An integrated fuzzy approach based failure mode and effects analysis for a risk assessment". Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11, n.º 2 (30 de junio de 2022): 681–96. http://dx.doi.org/10.17798/bitlisfen.1088988.
Texto completoShyi-Ming Chen. "A fuzzy reasoning approach for rule-based systems based on fuzzy logics". IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 26, n.º 5 (1996): 769–78. http://dx.doi.org/10.1109/3477.537318.
Texto completoÖZTÜRK, Müslüm, Belkız TORĞUL y Turan PAKSOY. "Sürdürülebilir Tedarikçi Seçimi için Aralık Tip-2 Bulanık Kural Tabanlı BWM Yaklaşımı". Konya Journal of Engineering Sciences 10, n.º 2 (1 de junio de 2022): 312–36. http://dx.doi.org/10.36306/konjes.991295.
Texto completoTesis sobre el tema "FUZZY BASED APPROACH"
Mac, Connell Peter Frederick Andrew. "Heating control using a knowledge-based approach". Thesis, University of Exeter, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296234.
Texto completoDan, Qing. "A fuzzy rule-based approach for edge feature classification". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ39646.pdf.
Texto completoOsut, Demet. "A Behavior Based Robot Control System Using Neuro-fuzzy Approach". Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/109765/index.pdf.
Texto completoOLIVEIRA, CARLOS ALEXANDRE DOS SANTOS. "STRATEGIC GROUPS: ARESOURCE-BASED VIEW AND NEURO-FUZZY SYSTEMS APPROACH". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5856@1.
Texto completoDesde sua formulação, no início da década de setenta, o conceito de grupo estratégico é objeto de pesquisas teóricas e empíricas que buscam confirmar sua existência, sua contribuição à avaliação da performance e à formação das estratégias das empresas. Este trabalho soma-se a estas pesquisas, utilizando os conceitos da Visão Resource- Based e a aplicação de ferramentas de inteligência computacional, neste caso as redes neurais e os sistemas de inferência fuzzy, com o objetivo de contribuir para a discussão deste tema na superação de suas limitações e dos novos desafios que o aumento da complexidade das arenas competitivas trouxeram para as pesquisas do gerenciamento estratégico. A Visão Resource-Based fornece a base teórica para o desenvolvimento dos construtos: grau de inimitabilidade e grau de imobilidade, resultantes da exploração estratégica dos recursos da empresa. Estes construtos são propostos como dimensões de avaliação da semelhança estratégica entre as empresas de uma arena competitiva. A inteligência computacional fornece os meios de extração de informações subjetivas, e presentes em ambientes complexos, através da simulação do aprendizado, percepção, evolução e adaptação do raciocínio humano. O resultado é a proposição de um modelo de avaliação da existência de grupos estratégicos, utilizando os construtos Grau de Inimitabilidade e Grau de Imobilidade, e Sistemas Neuro-fuzzy. Este modelo é aplicado ao setor de supermercados como teste de validação do mesmo.
Since its has introduced, in the beginning of the decade of seventy, the concept of strategic groups is object of theoretical and empirical research that aims to confirm its existence, its contribution to performance evaluation and the formulation of the strategies of the firms. This text join these research, using the Resource-Based Views framework and soft computing, in this case neural networks and fuzzy inference systems, with aims at contributing for the discussion of this subject to overcome its limitations and the new challenges, resulting increasingly complexity and competitive environment, for the strategic management research. The Resource-Based View framework supplies the theoretical underpinnings to use the inimitability degree and immobility degree, resultants of the strategical exploration of the resources of the firms, as constructors to evaluate firm strategic similarity in a competitive environment. Soft computing is a tool to extract subjective data from complexity environments, simulating the ability for learning, perception, evolution and adaptation of human reasoning. The result of this research is the proposal of a model to identify strategic groups, applying the constructors Inimitability Degree and Immobility Degree, and Neuro-fuzzy Inference Systems. To validate the model, a test is performed to the supermarkets industry.
Ernest, Nicholas D. "UAV Swarm Cooperative Control Based on a Genetic-Fuzzy Approach". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337954828.
Texto completoPorro, Martorell Olga. "A hesitant fuzzy perceptual-based approach to model linguistic assessments". Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672127.
Texto completoEl multiple-criteria o bé multi-attributte group decision-making (MCGDM / MAGDM) és una branca del camp de OR (operations research) l'objectiu del qual és buscar solucions comunes i representatives donades unes preferències d'un grup d'experts definit, sobre un conjunt d'alternatives i en relació a un conjunt coherent de criteris o atributs. L'objectiu d'aquesta tesis és contribuir específicament en l'àrea lingüística de MCGDM / MAGDM millorant les metodologies i marcs matemàtics existents amb l'objectiu de poder modelar qualsevol tipus de situació de presa de decisions en grup que impliqui multi-granularitat i raonament qualitatiu molt heterogeni entre el grup (ús d'etiquetes lingüístiques no balancejades). En concret, la tesis es basa en l'ús de l'eina dels hesitant fuzzy lingüístic term sets (HFLTSs) que fou introduïda per Rodriguez et al (2012) amb l'objectiu de permetre als experts poder donar opinions i preferències lingüístiques usant el seu llenguatge habitual (i no, números) capturant també la incertesa, ambigüitat i manca d'informació característica en aquest tipus de decisions. La majoria d'estructures matemàtiques existents basades en l'ús de HFLTSs en problemes de MCGDM/MAGDM fan la hipòtesis que tots els experts han d'expressar-se usant el mateix set d'etiquetes lingüístiques i/o bé el pes que cada expert dona a cadascuna de les etiquetes ha de ser el mateix. Aquests estructures no són suficientment flexibles per modelar situacions de GDM de multi-granularitat que també incloguin diversitat de raonament qualitatiu amb etiquetes lingüístiques no balancejades de forma simultània. En primer lloc, la present tesis desenvolupa un nou concepte, el perceptual-map, definit sobre l'estructura algebraica de HFLTSs no balancejats i introdueix una nova distància basada en aquesta mètrica. Aquesta distància és utilitzada per definir un centroide (opinió central) i una mesura de consens per a qualsevol situació de MAGDM que necessiti de l'ús d'un set d'etiquetes lingüístiques no balancejat. En segon lloc, una funció de transformació basada en el perceptual-map es defineix per tal de poder modelar simultàniament situacions lingüístiques amb multi-granularitat i poder així, realitzar operacions en un espai projectat. A nivell pràctic, la tesis presenta dos aplicacions reals per demostrar la utilitat i rellevància de les eines matemàtiques desenvolupades. D'una banda, la tesis introdueix un nou mètode de classificació i rànquing, que és aplicat en l'àmbit de l'educació. El nou mètode és utilitzat per classificar i ranquejar els alumnes de secundària de l'escola Andorrana d'acord amb el seu grau de desenvolupament de la competència emprenedora. D'altra banda, s'ha desenvolupat un nou model de TOPSIS anomenat fuzzy multi-perceptual lingüístic TOPSIS, que s'ha aplicat en el context d'avaluació de smart cities. La nova versió de TOPSIS s'ha aplicat amb èxit per avaluar els criteris que governen la decisió estratègica de localització, en el context de ciutats europees, de les multinacionals del sector energètic.
Umer, Adil. "Sustainability evaluation of transportation infrastructure under uncertainty : a fuzzy-based approach". Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/53035.
Texto completoApplied Science, Faculty of
Engineering, School of (Okanagan)
Graduate
Kishk, Mohammed El-Said. "An integrated fuzzy approach to whole life costing based decision making". Thesis, Robert Gordon University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369051.
Texto completoWang, Ming-hua. "A knowledge-based system approach for project management decision-making support". Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340476.
Texto completoArslan, Dilek. "A Control System Using Behavior Hierarchies And Neuro-fuzzy Approach". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605743/index.pdf.
Texto completos indoor environment. Then the control system was extended to control an agent in a multi-agent environment. The main motivation of this study is to design a control system which is robust to errors and easy to modify. Behaviour based approach with the advantages of fuzzy reasoning systems is used in the system.
Libros sobre el tema "FUZZY BASED APPROACH"
Kolman, Eyal y Michael Margaliot. Knowledge-Based Neurocomputing: A Fuzzy Logic Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88077-6.
Texto completoMichael, Margaliot, ed. Knowledge-based neurocomputing: A fuzzy logic approach. Berlin: Springer, 2009.
Buscar texto completoMultistage fuzzy control: A model-based approach to fuzzy control and decision making. Chichester: Wiley, 1997.
Buscar texto completoFeng, Gang. Analysis and synthesis of fuzzy control systems: A model-based approach. Boca Raton: CRC Presss, 2010.
Buscar texto completoAnalysis and synthesis of fuzzy control systems: A model based approach. Boca Raton: CRC Presss, 2010.
Buscar texto completoControlling accidents and insurers' risks in construction: A fuzzy knowledge-based approach. Hauppauge, NY: Nova Science Publishers, 2009.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Fuzzy sets, rough sets, and modeling evidence: Theory and application : a Dempster-Shafer based approach to compromise decision making with multiattributes applied to product selection. [Clear Lake, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.
Buscar texto completoKorvin, Andre De. Fuzzy sets, rough sets, and modeling evidence: Theory and application : a Dempster-Shafer based approach to compromise decision making with multiattributes applied to product selection. [Clear Lake, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations: Special approach/docking testcase results. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1993.
Buscar texto completoGegov, Alexander. Fuzzy Networks for Complex Systems: A Modular Rule Base Approach. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.
Buscar texto completoCapítulos de libros sobre el tema "FUZZY BASED APPROACH"
Lima, Dayvison Chaves, Fabrício Freitas, Gutavo Campos y Jerffeson Souza. "A Fuzzy Approach to Requirements Prioritization". En Search Based Software Engineering, 64–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23716-4_8.
Texto completoDubois, Didier, Francesc Esteva, Pere Garcia, Lluís Godo, Ramon López De Màntaras y Henri Prade. "Case-based reasoning: A fuzzy approach". En Fuzzy Logic in Artificial Intelligence, 79–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0095072.
Texto completoLertworasirikul, Saowanee, Shu-Cherng Fang, Jeffrey A. Joines y Henry L. W. Nuttle. "Fuzzy Data Envelopment Analysis: A Credibility Approach". En Fuzzy Sets Based Heuristics for Optimization, 141–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36461-0_10.
Texto completoSingh, Alpna, Aruna Tiwari y Sujata Naegi. "Fuzzy Rough Set Approach Based Classifier". En Swarm, Evolutionary, and Memetic Computing, 550–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27172-4_65.
Texto completoRazali, Razulaimi y Jafreezal Jaafar. "Fuzzy Based Approach for Complaint Management". En Informatics Engineering and Information Science, 386–400. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25453-6_34.
Texto completode Lourdes Martínez-Villaseñor, María y Miguel González-Mendoza. "Fuzzy-Based Approach of Concept Alignment". En Ubiquitous Computing and Ambient Intelligence, 172–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67585-5_18.
Texto completoKolman, Eyal y Michael Margaliot. "Knowledge-Based Design of ANNs". En Knowledge-Based Neurocomputing: A Fuzzy Logic Approach, 59–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88077-6_6.
Texto completoPivoňka, Petr. "Analysis and Design of Fuzzy PID Controller Based on Classical PID Controller Approach". En Fuzzy Control, 186–99. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1841-3_14.
Texto completoShiu, Simon C. K., X. Z. Wang y Daniel S. Yeung. "Neuro-Fuzzy Approach for Maintaining Case Bases". En Soft Computing in Case Based Reasoning, 259–73. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0687-6_11.
Texto completoCastellano, Giovanna, Anna Maria Fanelli y Maria Alessandra Torsello. "A Fuzzy Set Approach for Shape-Based Image Annotation". En Fuzzy Logic and Applications, 236–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23713-3_30.
Texto completoActas de conferencias sobre el tema "FUZZY BASED APPROACH"
Hnatkowska, Bogumila, Adrianna Kozierkiewicz y Marcin Pietranik. "Fuzzy based approach to ontology relations alignment". En 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2021. http://dx.doi.org/10.1109/fuzz45933.2021.9494564.
Texto completoMartinez-Jimenez, Pedro Manuel, Jesus Chamorro-Martinez y Belen Prados-Suarez. "A Fuzzy Approach for Texture-based Segmentation". En 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177584.
Texto completoGaeta, Matteo, Francesco Orciuoli, Vincenzo Loia y Sabrina Senatore. "A fuzzy agent-based approach to trust-based competency management". En 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007603.
Texto completoBaghaei, Kourosh T. y Shahram Rahimi. "Sepsis Prediction: An Attention-Based Interpretable Approach". En 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2019. http://dx.doi.org/10.1109/fuzz-ieee.2019.8858808.
Texto completoWang, H., D. Xue y D. H. Norrie. "A Fuzzy-Based Optimal Delivery Scheduling Approach". En ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14669.
Texto completoAshkezari-T, Soheila y Mohammad-R. Akbarzadeh-T. "Fuzzy-Bayesian network approach to genre-based recommender systems". En 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584250.
Texto completoBoixader, Dionis y J. Recasens. "Approximating fuzzy preorders and equivalences. A similarity based approach". En 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584180.
Texto completoPurkait, Pulak y Bhabatosh Chanda. "Fuzzy-rule based approach for single frame super resolution". En 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622394.
Texto completoNaderpour, Mohsen, Jie Lu y Guangquan Zhang. "A fuzzy dynamic bayesian network-based situation assessment approach". En 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622430.
Texto completoElomda, Basem Mohamed, Maryam Hazman, Hesham Ahmed Hefny y Hesham Ahmed Hassan. "MCDM approach based on generalized fuzzy decision map method". En 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7337881.
Texto completoInformes sobre el tema "FUZZY BASED APPROACH"
Wayland, J. R. Fuzzy logic and a risk-based graded approach for developing S/RIDs: An introduction. Office of Scientific and Technical Information (OSTI), enero de 1996. http://dx.doi.org/10.2172/172476.
Texto completoEddy, B. G., C. W. Jefferson y G. F. Bonham-Carter. Mineral potential mapping using a knowledge-based fuzzy logic approach for Melville Island, Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193496.
Texto completoYoon, Byung. Narrowing the Cognitive Distance Between Engineers and Customers: A Novel Approach, Based on Fuzzy Cognitive Mapping. Portland State University Library, febrero de 2020. http://dx.doi.org/10.15760/etd.7285.
Texto completoBorgwardt, Stefan y Rafael Peñaloza. Undecidability of Fuzzy Description Logics. Technische Universität Dresden, 2011. http://dx.doi.org/10.25368/2022.184.
Texto completoTsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora y Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, junio de 2021. http://dx.doi.org/10.31812/123456789/4370.
Texto completoBorgwardt, Stefan. The Complexity of Fuzzy Description Logics over Finite Lattices with Nominals. Technische Universität Dresden, 2014. http://dx.doi.org/10.25368/2022.204.
Texto completoBorgwardt, Stefan y Rafael Peñaloza. Infinitely Valued Gödel Semantics for Expressive Description Logics. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.217.
Texto completoKaram, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat y Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), junio de 2021. http://dx.doi.org/10.21079/11681/41026.
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