Relevant bibliographies by topics / Fuzzy-set approach

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Fuzzy-set approach'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Fuzzy-set approach"

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Sivakumar, P. S., and R. Kavitha. "Fuzzy Measure: A Fuzzy Set Theoretic Approach." Annals of Pure and Applied Mathematics 14, no. 1 (June 16, 2017): 21–31. http://dx.doi.org/10.22457/apam.v14n1a3.

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Szmidt, Eulalia, and Janusz Kacprzyk. "A Fuzzy Set Corresponding to an Intuitionistic Fuzzy Set." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 06, no. 05 (October 1998): 427–35. http://dx.doi.org/10.1142/s0218488598000343.

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We propose a new approach to find a fuzzy set which corresponds to a given intuitionistic fuzzy set (Atanassov, 1986) in a certain sense. This will help extend a huge array of fuzzy properties, models, etc. available to the case of intuitionistic fuzzy sets.
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Ahmed, Waseem, M. M. Sufyan Beg, and Tanvir Ahmad. "A fuzzy rough set based fitting approach for fuzzy set-valued information system." International Journal of Information Technology 12, no. 4 (April 11, 2019): 1355–64. http://dx.doi.org/10.1007/s41870-019-00304-y.

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Bisht, Raj Kishor, and H. S. Dhami. "Fuzzy Set Theoretic Approach To Collocation Extraction." International Journal of Computer Applications 5, no. 3 (August 10, 2010): 43–49. http://dx.doi.org/10.5120/895-1269.

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Dutta, Ambar. "Fuzzy Set Theoretic Approach to Image Thresholding." International Journal of Computer Science, Engineering and Applications 1, no. 6 (December 31, 2011): 63–72. http://dx.doi.org/10.5121/ijcsea.2011.1605.

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Sachs, Tillmn, Ribert Tiong, and Daniel Wagner. "Political risk quantification using fuzzy set approach." Journal of Financial Management of Property and Construction 12, no. 2 (August 2007): 107–26. http://dx.doi.org/10.1108/13664380780001098.

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Tamir, Dan E., Cao Zhi-Qiang, Abraham Kandel, and Joe L. Mott. "An axiomatic approach to fuzzy set theory." Information Sciences 52, no. 1 (October 1990): 75–83. http://dx.doi.org/10.1016/0020-0255(90)90036-a.

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Botteldooren, 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.

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Lee, Yong W., Mohamed F. Dahab, and Istvan Bogardi. "Nitrate-Risk Assessment Using Fuzzy-Set Approach." Journal of Environmental Engineering 121, no. 3 (March 1995): 245–56. http://dx.doi.org/10.1061/(asce)0733-9372(1995)121:3(245).

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Zeng, L., and H. P. Wang. "Machine-fault classification: A fuzzy-set approach." International Journal of Advanced Manufacturing Technology 6, no. 1 (January 1991): 83–93. http://dx.doi.org/10.1007/bf02601548.

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Dissertations / Theses on the topic "Fuzzy-set approach"

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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.

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A computer programme has been developed to evaluate risks that contaminated sites might pose to human health. Pollutants present in soils and sediments can potentially migrate from source to receptors, via different pathways. In the programme, pathways are represented by transport models.
Humans 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.
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陳國評 and 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.

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Abdel-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.

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Qin, 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.

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Yeung, 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.

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Flores, 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.

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This thesis aims to shed light on the complexity and multidimensionality of poverty and vulnerabilities in Brazil. In the first chapter, Gianni Betti and I explore deprivations associated with the capacity to prevent and recover from infection with COVID-19. We wrote this article during the first wave of the pandemic outbreak to show that multidimensionally poor people are also the most vulnerable in emergencies and expose the need for coordinated national action prioritizing the most exposed groups in Brazil. Using the Alkire-Foster method and a fuzzy set approach, we propose two pandemic-specific indexes to measure vulnerability in terms of the capacity to prevent infection with and to recover from the disease. The outcomes reveal structural deprivations in the country and considerable inequality among regions and ethnic groups. In the period studied, rank correlations confirm that the most vulnerable states were also among those with the highest pandemic-related deaths per million people. The article was published in World Development. In the second chapter, the focus is on gender differences in multidimensional poverty in Brazil. The chapter contributes to the literature on multidimensional poverty measurement by applying and proposing procedures to improve individual-level estimations considering the limitations of household surveys. I create two individual-based indexes with indicators that are key aspects in gender and feminist analyses. Applying a fuzzy approach and the Alkire-Foster method, I estimate multidimensional poverty and gender differences in three perspectives: intrahousehold, interhousehold, and intracouple. I also calculate inequality among the poor and intracouple gender gaps proposing fuzzy versions for these analyses. The results suggest that women are disadvantaged in dimensions that are crucial components of agency or degree of empowerment. In most specifications, individuals living in female-headed households are poorer than those living in male-headed households, but in female-headed households, women are in advantage compared to men, or at least the disparity decreases. In the third chapter, I concentrate on labor market vulnerability in Brazil. Here, vulnerability refers to the capacity of achieving full potential in work and career, finding and seizing employment opportunities, and having a decent job. The chapter aims to propose two labor market vulnerability indexes (LMVI) that include people inside and outside the labor market. Using a fuzzy set approach and comparing two years, I estimate vulnerability from two perspectives: individual and household. One of the innovations of the household-based measure is to understand if people that are vulnerable or outside the labor force (e.g., dependents) can have support from members of their household that are working and are not vulnerable. The outcomes reveal that the average degree of vulnerability was high and had a slow change between the years. Although education levels improved, precarity and other labor deprivations did not make progress in the period.
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Ottonelli, 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.

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Made available in DSpace on 2014-12-17T14:34:45Z (GMT). No. of bitstreams: 1 JanainaO_DISSERT.pdf: 1740666 bytes, checksum: b7ce8fa758db532c2ba4cf361ed5d2a2 (MD5) Previous issue date: 2013-06-03
Coordena??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
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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.

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Concept Maps (CMs) are considered a well-known pedagogy technique in creating curriculum, educating, teaching, and learning. Determining comprehension of concepts result from comparisons of candidate CMs against a master CM, and evaluate "goodness". Past techniques for comparing CMs have revolved around the creation of a subjective rubric. We propose a novel CM scoring scheme called MAnanA based on a Fuzzy Similarity Scaling (FSS) score to vastly remove the subjectivity of the rubrics in the process of grading a CM. We evaluate our framework against a predefined rubric and test it with CM data collected from the Introduction to Computer Security course at the University of New Orleans (UNO), and found that the scores obtained via MAnanA captured the trend that we observed from the rubric via peak matching. Based on our evaluation, we believe that our framework can be used to objectify CM analysis.
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Okiye, Waais Idriss. "Analyse multidimensionnelle de la pauvreté : le cas de Djibouti." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCB001/document.

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L'objet de cette thèse est de proposer et de développer les différentes mesures multidimensionnelles de la pauvreté. La multidimensionnalité de la pauvreté fait aujourd'hui consensus. Scientifiques, décideurs politiques et professionnels du développement s'accordent pour dire que la seule dimension monétaire (le manque de revenu) ne suffit pas à représenter la pauvreté. En se basant sur les travaux de Sen (Prix Nobel d'Economie) en particulier sur l'approche des capacités, nous proposons quatre mesures différentes de la pauvreté. La première est une mesure monétaire basée sur l'approche utilitaire ; la seconde est une mesure subjective basée sur les expériences des ménages ; la troisième est une mesure multidimensionnelle axiomatique et enfin la dernière est une mesure non axiomatique basée sur la théorie des ensembles flous. Elles sont toutes mises en oeuvre en utilisant les données d'enquêtes EDAM3-IS (Enquête Djiboutienne Auprès des Ménages 2012). Les résultats s'inscrivent dans un contexte de croissance économique que connait Djibouti. Cependant, toutes les mesures utilisées ont montré des grandes disparités régionales entre la capitale et les régions en termes d'infrastructure de base et de bien-être des ménages. Chacune de ses méthodes a fourni des résultats avec différentes interprétations des déterminants de la pauvreté. Cela ne signifie pas qu'il existe une méthode bien meilleure que l'autre, mais chaque approche, dans un contexte particulier, peut-être plus pertinente. Ainsi, l'identification des pauvres en appliquant les différentes mesures de la pauvreté nous a donné un profil différencié. Par conséquent, le décideur doit définir au préalable l'objectif poursuivi dans les politiques de lutte contre la pauvreté. Nous pouvons souligner que l'intégration d'une pondération subjective dans la mesure de la pauvreté est une de nos contributions au développement de mesures multidimensionnelles de la pauvreté
The 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
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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.

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Doutoramento em Economia.
Neste 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.
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Books on the topic "Fuzzy-set approach"

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Lemmi, Achille, and Gianni Betti, eds. Fuzzy Set Approach to Multidimensional Poverty Measurement. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34251-1.

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Janssen, Jeroen, Steven Schockaert, Dirk Vermeir, and 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.

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Abdel-Kader, Magdy G. Investment decisions in advanced manufacturing technology: A fuzzy set theory approach. Brookfield, VT: Ashgate Pub., 1998.

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Teodorović, D. Traffic control and transport planning: A fuzzy sets and neural networks approach. Boston: Kluwer Academic Publishers, 1998.

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Jensen, Richard. Computational intelligence and feature selection: Rough and fuzzy approaches. Oxford: Wiley, 2008.

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Lemmi, Achille A., and Gianni Betti. Fuzzy Set Approach to Multidimensional Poverty Measurement. Springer London, Limited, 2006.

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Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach. Springer, 2012.

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Answer Set Programming For Continuous Domains A Fuzzy Logic Approach. Atlantis Press, 2012.

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Vermeir, Dirk, Steven Schockaert, Martine De Cock, and Jeroen Janssen. Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach. Atlantis Press (Zeger Karssen), 2014.

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Investment Decisions in Advanced Manufacturing Technology: A Fuzzy Set Theory Approach. Taylor & Francis Group, 2018.

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Book chapters on the topic "Fuzzy-set approach"

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Novák, Vilém. "Fuzzy Set Approach." In 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.

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Novák, Vilém. "Fuzzy Set Approach." In Encyclopedia of Database Systems, 1210–14. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_564.

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Novák, Vilém. "Fuzzy Set Approach." In 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.

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Janssen, Jeroen, Steven Schockaert, Dirk Vermeir, and Martine de Cock. "Fuzzy Answer Set Programming." In 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.

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Singh, Alpna, Aruna Tiwari, and Sujata Naegi. "Fuzzy Rough Set Approach Based Classifier." In 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.

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Janssen, Jeroen, Steven Schockaert, Dirk Vermeir, and Martine de Cock. "Aggregated Fuzzy Answer Set Programming." In 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.

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Janssen, Jeroen, Steven Schockaert, Dirk Vermeir, and Martine de Cock. "Core Fuzzy Answer Set Programming." In 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.

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Berenger, Valérie, and Franck Celestini. "French Poverty Measures using Fuzzy Set Approaches." In 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.

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Ghadi, Musab, Lamri Laouamer, Laurent Nana, and Anca Pascu. "Fuzzy Rough Set Based Image Watermarking Approach." In 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.

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Guevara, Juan Antonio, Daniel Gómez, José Manuel Robles, and Javier Montero. "Measuring Polarization: A Fuzzy Set Theoretical Approach." In 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.

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Conference papers on the topic "Fuzzy-set approach"

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Bashon, Y., D. Neagu, and M. J. Ridley. "Fuzzy set-theoretical approach for comparing objects with fuzzy attributes." In 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2011. http://dx.doi.org/10.1109/isda.2011.6121747.

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Jin, Qiu, Lingqiang Li, Guangwu Meng, and ShouBin Sun. "A Many-Valued Approach to Fuzzy Rough Set." In 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2010. http://dx.doi.org/10.1109/icicta.2010.206.

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Al-Kofahi, Jafar M., Ahmed Tamrawi, Tung Thanh Nguyen, Hoan Anh Nguyen, and Tien N. Nguyen. "Fuzzy set approach for automatic tagging in evolving software." In 2010 IEEE 26th International Conference on Software Maintenance (ICSM). IEEE, 2010. http://dx.doi.org/10.1109/icsm.2010.5609751.

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Singh, R., and S. Balasundaram. "Active Set Fuzzy Support Vector ϵ-Insensitive Regression Approach." In 2008 International Conference on Advanced Computer Theory and Engineering (ICACTE). IEEE, 2008. http://dx.doi.org/10.1109/icacte.2008.153.

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Makrehchi, M., and M. Kamel. "A fuzzy set approach to extracting keywords from abstracts." In IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. IEEE, 2004. http://dx.doi.org/10.1109/nafips.2004.1337356.

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"USING FUZZY SET APPROACH IN MULTI-ATTRIBUTE AUTOMATED AUCTIONS." In 12th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002897900810085.

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Van Nghiem, Tarn, Dzung Dinh Nguyen, and Long Thanh Ngo. "Intuitionistic type-2 fuzzy set approach to image thresholding." In 2013 International Conference of Soft Computing and Pattern Recognition (SoCPaR). IEEE, 2013. http://dx.doi.org/10.1109/socpar.2013.7054128.

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Tamrawi, Ahmed, Tung Thanh Nguyen, Jafar M. Al-Kofahi, and Tien N. Nguyen. "Fuzzy set and cache-based approach for bug triaging." In 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.

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Wei Xu, Ye Pang, Jian Ma, Shou-Yang Wang, Gang Hao, Shuo Zeng, and Yu-Hua Qian. "Fraud detection in telecommunication: A rough fuzzy set based approach." In 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4620596.

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Watada, Junzo, Jing Zhao, and Yoshiyuki Matsumoto. "A Genetic Rough Set Approach to Fuzzy Time-Series Prediction." In 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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