Littérature scientifique sur le sujet « Fuzzy-set approach »
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Articles de revues sur le sujet "Fuzzy-set approach"
Sivakumar, P. S., et R. Kavitha. « Fuzzy Measure : A Fuzzy Set Theoretic Approach ». Annals of Pure and Applied Mathematics 14, no 1 (16 juin 2017) : 21–31. http://dx.doi.org/10.22457/apam.v14n1a3.
Texte intégralSzmidt, Eulalia, et Janusz Kacprzyk. « A Fuzzy Set Corresponding to an Intuitionistic Fuzzy Set ». International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 06, no 05 (octobre 1998) : 427–35. http://dx.doi.org/10.1142/s0218488598000343.
Texte intégralAhmed, Waseem, M. M. Sufyan Beg et Tanvir Ahmad. « A fuzzy rough set based fitting approach for fuzzy set-valued information system ». International Journal of Information Technology 12, no 4 (11 avril 2019) : 1355–64. http://dx.doi.org/10.1007/s41870-019-00304-y.
Texte intégralBisht, Raj Kishor, et H. S. Dhami. « Fuzzy Set Theoretic Approach To Collocation Extraction ». International Journal of Computer Applications 5, no 3 (10 août 2010) : 43–49. http://dx.doi.org/10.5120/895-1269.
Texte intégralDutta, Ambar. « Fuzzy Set Theoretic Approach to Image Thresholding ». International Journal of Computer Science, Engineering and Applications 1, no 6 (31 décembre 2011) : 63–72. http://dx.doi.org/10.5121/ijcsea.2011.1605.
Texte intégralSachs, Tillmn, Ribert Tiong et Daniel Wagner. « Political risk quantification using fuzzy set approach ». Journal of Financial Management of Property and Construction 12, no 2 (août 2007) : 107–26. http://dx.doi.org/10.1108/13664380780001098.
Texte intégralTamir, Dan E., Cao Zhi-Qiang, Abraham Kandel et Joe L. Mott. « An axiomatic approach to fuzzy set theory ». Information Sciences 52, no 1 (octobre 1990) : 75–83. http://dx.doi.org/10.1016/0020-0255(90)90036-a.
Texte intégralBotteldooren, Dick. « Noise limits : A fuzzy set theoretical approach ». Noise Control Engineering Journal 51, no 5 (2003) : 306. http://dx.doi.org/10.3397/1.2839727.
Texte intégralLee, Yong W., Mohamed F. Dahab et Istvan Bogardi. « Nitrate-Risk Assessment Using Fuzzy-Set Approach ». Journal of Environmental Engineering 121, no 3 (mars 1995) : 245–56. http://dx.doi.org/10.1061/(asce)0733-9372(1995)121:3(245).
Texte intégralZeng, L., et H. P. Wang. « Machine-fault classification : A fuzzy-set approach ». International Journal of Advanced Manufacturing Technology 6, no 1 (janvier 1991) : 83–93. http://dx.doi.org/10.1007/bf02601548.
Texte intégralThèses sur le sujet "Fuzzy-set approach"
Côté, Karl. « Risk analysis of contaminated sites : a Fuzzy set approach ». Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23742.
Texte intégralHumans can be affected by contaminant migration through land and water use. Health risks can arise from ingestion of and dermal contact with contaminated water and soil, as well as through inhalation of contaminated air. Quantitative estimates of risks are calculated for both carcinogenic and non-carcinogenic contaminants.
Soil and sediment systems are very heterogeneous and are characterized by uncertain parameters. Concepts of fuzzy set theory have been used in the programme to take uncertainty into account. Uncertain input parameters are represented by fuzzy numbers. An inference model using fuzzy logic has been constructed to reason about data in the decision making process.
陳國評 et Kwok-ping Chan. « Fuzzy set theoretic approach to handwritten Chinese character recognition ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B30425876.
Texte intégralAbdel-Kader, Magdy G. « Evaluating investment decisions in advanced manufacturing systems : a fuzzy set theory approach ». Thesis, University of the West of England, Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362552.
Texte intégralQin, Zengchang. « Learning with fuzzy labels : a random set approach towards intelligent data mining systems ». Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422575.
Texte intégralYeung, Fai Yip. « Developing a Partnering Performance Index (PPI) for construction projects : a fuzzy set theory approach ». online access from Digital Dissertation Consortium, 2007. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?3299884.
Texte intégralFlores, Tavares Fernando. « Essays on Fuzzy Multidimensional Poverty and Vulnerabilities : Analyzes of Socioeconomic Deprivations and Inequalities in Brazil ». Doctoral thesis, Università di Siena, 2022. http://hdl.handle.net/11365/1210273.
Texte intégralOttonelli, Jana?na. « Pobreza multidimensional na regi?o nordeste : uma aplica??o da Teoria dos Conjuntos Fuzzy (em 2010) ». Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/14087.
Texte intégralCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
Pobreza significa priva??o. A priva??o sofrida pelas pessoas pobres normalmente est? relacionada ao baixo n?vel de renda. Quando se trata da pobreza no Brasil, a Regi?o Nordeste se destaca, pois em 2010 o Plano Brasil Sem Mis?ria apontou a exist?ncia de 9,6 milh?es de extremamente pobres na regi?o, representando 59% do total no pa?s (BRASIL, 2011b). No entanto, a renda monet?ria n?o captura completamente as priva??es sofridas pelas pessoas. O conceito de pobreza tem passado por uma evolu??o no sentido de incluir dimens?es importantes sobre a vida das pessoas. Deixou de focar apenas a priva??o absoluta da abordagem unidimensional e passou a considerar a priva??o relativa, uma abordagem multidimensional. Este estudo fundamenta-se na Abordagem das Capacita??es de Sen (1981, 1985, 2000, 2001) que considera a pobreza como a priva??o sofrida pelas pessoas relacionada a diferentes aspectos tais como nutri??o, acesso aos servi?os b?sicos de educa??o, sa?de, saneamento b?sico e, tamb?m, de liberdade. Assim, o objetivo deste estudo ? investigar e mensurar a intensidade da pobreza multidimensional nos munic?pios da Regi?o Nordeste atrav?s do Censo Demogr?fico (IBGE, 2010). Para isso, utilizou-se da t?cnica da Teoria dos Conjuntos Fuzzy que permite o c?lculo de ?ndice relativo. A mensura??o da pobreza por meio do ?ndice fuzzy de pobreza (IFP) envolveu a escolha de 19 indicadores distribu?dos em quatro dimens?es (ou capacita??es): educa??o, sa?de, condi??es habitacionais e renda. Os resultados mostraram que existe maior pobreza na dimens?o renda. Entretanto, as dimens?es educa??o e sa?de tamb?m tiveram import?ncia no indicador de pobreza multidimensional. Alguns indicadores que merecem aten??o dos formuladores de pol?ticas p?blicas s?o o acesso ao ensino fundamental e ensino m?dio e o acesso aos servi?os de saneamento b?sico, coleta de lixo e rede de ?gua. Apesar da priva??o na dimens?o renda ser maior do que nas demais dimens?es, a supera??o da pobreza envolve a promo??o dos diferentes aspectos relacionados ? vida das pessoas. A Abordagem da Capacita??o mostra que pol?ticas de assist?ncia aos pobres precisam considerar as particularidades do local e h?bitos, de forma a verificar quais s?o as reais priva??es sofridas pelas pessoas. As pessoas que se encontram em situa??o de pobreza precisam ser incentivadas a superar a situa??o de mis?ria e pen?ria de forma a n?o serem eternamente privadas de liberdade e privadas de expandirem suas capacita??es
Blake, Gatto Sharon Elizabeth. « MAnanA : A Generalized Heuristic Scoring Approach for Concept Map Analysis as Applied to Cybersecurity Education ». ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2526.
Texte intégralOkiye, Waais Idriss. « Analyse multidimensionnelle de la pauvreté : le cas de Djibouti ». Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCB001/document.
Texte intégralThe aim of this thesis is to propose and develop the various multidimensional measures of poverty. There is a consensus on the multidimensional nature of poverty. Scientists, policy makers and development professionals agree that the monetary dimension (lack of income) is inadequate to represent poverty. On the basis of the work of Sen (Nobel Proze of Economics), particularly on the capability approach, we propose four different measures of poverty. The first one is a monetary measure based on the utilitarian approach ; the second is a subjective measure founded on household experience ; the third is a multidimensional axiomatic measure and the final one is a non-axiomatic measure based on the theory of fuzzy sets. They are implemented using survey data EDAM3-IS (Djiboutian Survey of Households 2012). The esults fall within the framework of economic growth in Djibouti. However, all the measures used have shown great disparities between the capital and the regions in terms of basic infrastructure and household welfare. Each method produced results with different interpretations of the determinants of poverty. This does not mean that there is one method being better than the other but rather each approach, in a particular context, may be more relevant. Thus, identifying the poor by applying the different measures of poverty gave us a clear-cut profile, which implies that the decision-maker must first set the aim in view in the implementation of anti-poverty policies. It can be emphasized that the inclusion of a subjective weighting in the process of measuring of poverty is one of our contributions towards the development of multidimensional measures of poverty
Nunes, Celso Luís Pereira. « Poverty measurement : a theoretical contribution and application to Portugal 2007 ». Doctoral thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10724.
Texte intégralNeste trabalho apresenta-se uma história do pensamento económico na medição de pobreza - desde o que pode ser considerado o inicio da economia da pobreza ate a era de redescoberta da pobreza durante a década de 1960 - bern como uma revisão da literatura sobre as principais ferramentas de medição da pobreza apresentadas pela Ciência Económica. E ainda apresentado, no âmbito da abordagem multidimensional, uma proposta de um índice de medição de pobreza, inovadora quanto a ponderação dos diferentes atributos considerados como elementos de privação. 0 propósito do indice proposto e o de medir a pobreza na sua multidimensionalidade, sendo que cada dimensão de privação e ponderada no indice de acordo com a Hierarquia de Necessidades de Maslow. Esta forma de ponderação faz com que o indice proposto seja diferente dos ja existentes pelo facto de se incorporarem elementos de uma teoria psicológica consolidada na sua estrutura. Por fim, o indice apresentado e aplicado atraves de dados do European Union Statistics on Income and Living Conditions (EU-SILC) para Portugal em 2007 e comparado com dois outros metodos multidimensionais de medi9ao da pobreza.
This work presents a history of the economic thought on poverty measurement - from what can be considered the beginning of the Poverty Economics until the "Rediscovering Poverty" era during the 1960s - as well as a review of the literature on the main poverty measurement tools presented by the Economic Science. We also present, having the multidimensional approach as background, a proposal for a poverty measurement index, somehow innovative regarding the weighting of different attributes considered as elements of deprivation. The aim of the proposed index is to measure poverty as a multidimensional phenomenon, where each dimension of deprivation is weighted in the index according to the Maslow's Hierarchy of Needs. This way of weighting makes the proposed index different from the existing indices given that it incorporates elements of a consolidated psychological theory in its structure. Finally, the index is applied using the European Union Statistics on Income and Living Conditions (EU-SILC) microdata for Portugal in 2007, and compared with two other methods of measuring multidimensional poverty.
Livres sur le sujet "Fuzzy-set approach"
Lemmi, Achille, et Gianni Betti, dir. Fuzzy Set Approach to Multidimensional Poverty Measurement. Boston, MA : Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34251-1.
Texte intégralJanssen, Jeroen, Steven Schockaert, Dirk Vermeir et Martine de Cock. Answer Set Programming for Continuous Domains : A Fuzzy Logic Approach. Paris : Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-59-6.
Texte intégralAbdel-Kader, Magdy G. Investment decisions in advanced manufacturing technology : A fuzzy set theory approach. Brookfield, VT : Ashgate Pub., 1998.
Trouver le texte intégralTeodorović, D. Traffic control and transport planning : A fuzzy sets and neural networks approach. Boston : Kluwer Academic Publishers, 1998.
Trouver le texte intégralJensen, Richard. Computational intelligence and feature selection : Rough and fuzzy approaches. Oxford : Wiley, 2008.
Trouver le texte intégralLemmi, Achille A., et Gianni Betti. Fuzzy Set Approach to Multidimensional Poverty Measurement. Springer London, Limited, 2006.
Trouver le texte intégralAnswer Set Programming for Continuous Domains : A Fuzzy Logic Approach. Springer, 2012.
Trouver le texte intégralAnswer Set Programming For Continuous Domains A Fuzzy Logic Approach. Atlantis Press, 2012.
Trouver le texte intégralVermeir, Dirk, Steven Schockaert, Martine De Cock et Jeroen Janssen. Answer Set Programming for Continuous Domains : A Fuzzy Logic Approach. Atlantis Press (Zeger Karssen), 2014.
Trouver le texte intégralInvestment Decisions in Advanced Manufacturing Technology : A Fuzzy Set Theory Approach. Taylor & Francis Group, 2018.
Trouver le texte intégralChapitres de livres sur le sujet "Fuzzy-set approach"
Novák, Vilém. « Fuzzy Set Approach ». Dans Encyclopedia of Database Systems, 1–6. New York, NY : Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_564-2.
Texte intégralNovák, Vilém. « Fuzzy Set Approach ». Dans Encyclopedia of Database Systems, 1210–14. Boston, MA : Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_564.
Texte intégralNovák, Vilém. « Fuzzy Set Approach ». Dans Encyclopedia of Database Systems, 1568–72. New York, NY : Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_564.
Texte intégralJanssen, Jeroen, Steven Schockaert, Dirk Vermeir et Martine de Cock. « Fuzzy Answer Set Programming ». Dans Answer Set Programming for Continuous Domains : A Fuzzy Logic Approach, 35–48. Paris : Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-59-6_3.
Texte intégralSingh, Alpna, Aruna Tiwari et Sujata Naegi. « Fuzzy Rough Set Approach Based Classifier ». Dans 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.
Texte intégralJanssen, Jeroen, Steven Schockaert, Dirk Vermeir et Martine de Cock. « Aggregated Fuzzy Answer Set Programming ». Dans Answer Set Programming for Continuous Domains : A Fuzzy Logic Approach, 49–95. Paris : Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-59-6_4.
Texte intégralJanssen, Jeroen, Steven Schockaert, Dirk Vermeir et Martine de Cock. « Core Fuzzy Answer Set Programming ». Dans Answer Set Programming for Continuous Domains : A Fuzzy Logic Approach, 97–131. Paris : Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-59-6_5.
Texte intégralBerenger, Valérie, et Franck Celestini. « French Poverty Measures using Fuzzy Set Approaches ». Dans Fuzzy Set Approach to Multidimensional Poverty Measurement, 139–54. Boston, MA : Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34251-1_8.
Texte intégralGhadi, Musab, Lamri Laouamer, Laurent Nana et Anca Pascu. « Fuzzy Rough Set Based Image Watermarking Approach ». Dans Advances in Intelligent Systems and Computing, 234–45. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48308-5_23.
Texte intégralGuevara, Juan Antonio, Daniel Gómez, José Manuel Robles et Javier Montero. « Measuring Polarization : A Fuzzy Set Theoretical Approach ». Dans Information Processing and Management of Uncertainty in Knowledge-Based Systems, 510–22. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50143-3_40.
Texte intégralActes de conférences sur le sujet "Fuzzy-set approach"
Bashon, Y., D. Neagu et M. J. Ridley. « Fuzzy set-theoretical approach for comparing objects with fuzzy attributes ». Dans 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121747.
Texte intégralJin, Qiu, Lingqiang Li, Guangwu Meng et ShouBin Sun. « A Many-Valued Approach to Fuzzy Rough Set ». Dans 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2010. http://dx.doi.org/10.1109/icicta.2010.206.
Texte intégralAl-Kofahi, Jafar M., Ahmed Tamrawi, Tung Thanh Nguyen, Hoan Anh Nguyen et Tien N. Nguyen. « Fuzzy set approach for automatic tagging in evolving software ». Dans 2010 IEEE 26th International Conference on Software Maintenance (ICSM). IEEE, 2010. http://dx.doi.org/10.1109/icsm.2010.5609751.
Texte intégralSingh, R., et S. Balasundaram. « Active Set Fuzzy Support Vector ϵ-Insensitive Regression Approach ». Dans 2008 International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2008. http://dx.doi.org/10.1109/icacte.2008.153.
Texte intégralMakrehchi, M., et M. Kamel. « A fuzzy set approach to extracting keywords from abstracts ». Dans IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. IEEE, 2004. http://dx.doi.org/10.1109/nafips.2004.1337356.
Texte intégral« USING FUZZY SET APPROACH IN MULTI-ATTRIBUTE AUTOMATED AUCTIONS ». Dans 12th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002897900810085.
Texte intégralVan Nghiem, Tarn, Dzung Dinh Nguyen et Long Thanh Ngo. « Intuitionistic type-2 fuzzy set approach to image thresholding ». Dans 2013 International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2013. http://dx.doi.org/10.1109/socpar.2013.7054128.
Texte intégralTamrawi, Ahmed, Tung Thanh Nguyen, Jafar M. Al-Kofahi et Tien N. Nguyen. « Fuzzy set and cache-based approach for bug triaging ». Dans the 19th ACM SIGSOFT symposium and the 13th European conference. New York, New York, USA : ACM Press, 2011. http://dx.doi.org/10.1145/2025113.2025163.
Texte intégralWei Xu, Ye Pang, Jian Ma, Shou-Yang Wang, Gang Hao, Shuo Zeng et Yu-Hua Qian. « Fraud detection in telecommunication : A rough fuzzy set based approach ». Dans 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4620596.
Texte intégralWatada, Junzo, Jing Zhao et Yoshiyuki Matsumoto. « A Genetic Rough Set Approach to Fuzzy Time-Series Prediction ». Dans 2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN). IEEE, 2016. http://dx.doi.org/10.1109/cmcsn.2016.40.
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