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Santos, H?lida Salles. "A new class of fuzzy subsethood measures". PROGRAMA DE P?S-GRADUA??O EM SISTEMAS E COMPUTA??O, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/23644.
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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES)
Este trabalho tem o objetivo de introduzir uma nova classe de medidas de inclus?o difusa entre conjuntos difusos. Esta nova abordagem foi baseada nas axiomatiza??es mais conhecidas com a vantagem de utilizar o m?todo de constru??o de tais medidas agregando os operadores de implica??o. Esses operadores satisfazem algumas propriedades que t?m sido amplamente investigadas na literatura, de forma que, por exemplo, a medida de inclus?o proposta por Goguen torna-se um caso particular da nossa proposta de medida de inclus?o. Apresentamos tamb?m diferentes m?todos de constru??o utilizando automorfismos e provamos que com tais medidas podemos construir n?o s? medidas de entropia, mas tamb?m dist?ncias, fun??es p?nalti e medidas de similaridade entre conjuntos difusos.
The idea of inclusion for fuzzy sets was firstly introduced by L. Zadeh in 1965 and since then many other studies proposed alternatives to indicate a degree to which a fuzzy set is included into another fuzzy set, called an inclusion degree or a subsethood measure. In this work we present a new class of fuzzy subsethood measures between fuzzy sets. We introduce a new definition of a fuzzy subsethood measure as an intersection of other axiomatizations by aggregating fuzzy implication operators. We also provide some construction methods to obtain these fuzzy subsethood measures. With our approach we recover some of the classical measures which have been discussed in the literature, as the one given by Goguen. We also show how we can use our developments to generate fuzzy entropies, fuzzy distances, penalty functions and similarity measures. Finally we study some fuzzy indexes generated from this new class of fuzzy subsethood measures.
Parlikar, Virendra R. "Fuzzy non-radial measures of relative technical efficiency using DEA". Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-11182008-063112/.
Pełny tekst źródłaBashon, Yasmina M. "Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications". Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6305.
Pełny tekst źródłaLibyan Embassy
Bashon, Yasmina Massoud. "Contributions to fuzzy object comparison and applications : similarity measures for fuzzy and heterogeneous data and their applications". Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6305.
Pełny tekst źródłaIONESCU, MIRCEA MARIAN. "ADAPTIVE MEASURES OF SIMILARITY - FUZZY HAMMING DISTANCE - AND ITS APPLICATIONS TO PATTERN RECOGNITION PROBLEMS". University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1163708478.
Pełny tekst źródłaWagholikar, Amol S., i N/A. "Acquisition of Fuzzy Measures in Multicriteria Decision Making Using Similarity-based Reasoning". Griffith University. School of Information and Communication Technology, 2007. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20071214.152324.
Pełny tekst źródłaFarinWata, Shehu Saíd. "Performance assessment of fuzzy logic control systems via stability and robustness measures". Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/14797.
Pełny tekst źródłaWagholikar, Amol S. "Acquisition of Fuzzy Measures in Multicriteria Decision Making Using Similarity-based Reasoning". Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365403.
Pełny tekst źródłaThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
Full Text
Liu, Xiaofeng. "Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques". Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16456/1/Xiaofeng_Liu_Thesis.pdf.
Pełny tekst źródłaLiu, Xiaofeng. "Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques". Queensland University of Technology, 2007. http://eprints.qut.edu.au/16456/.
Pełny tekst źródłaHamrawi, Hussam. "Type-2 fuzzy alpha-cuts". Thesis, De Montfort University, 2011. http://hdl.handle.net/2086/5137.
Pełny tekst źródłaMarija, Paunović. "Mere neodređenosti i primena u aktuarstvu". Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2019. https://www.cris.uns.ac.rs/record.jsf?recordId=110708&source=NDLTD&language=en.
Pełny tekst źródłaThis thesis studies uncertainty measures, especially credibility measure, as well asthe possibility of their application in actuaries. In order to generalize credibility theory,a new fuzzy measure is proposed, called c − credibility measure. C − credibilitymeasure on X is a set function that satisfies normality, monotonicity, self-duality andmaximality. Certain properties of the c−credibility measure are proved, such as, forexample, subadditivity and semicontinuity. Furthermore, an integral based on thismeasure is defined, in analogy to the existing integrals, and its properties are proved.Then, the credibility measure in a fuzzy environment is introduced as the aggregatevalue of the possibility and necessity measures.
Onescu, Mircea Marian. "Adaptive measures of similarity - fuzzy hamming distance - and its applications to pattern recognition problems". Cincinnati, Ohio : University of Cincinnati, 2006. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1163708478.
Pełny tekst źródłaTitle from electronic thesis title page (viewed Jan.27, 2007). Includes abstract. Keywords: Fuzzy Hamming Distance, artificial intelligence, fuzzy, image retrieval system Includes bibliographical references.
Bas, Bohdan, i Богдан Валерійович Бас. "Aircraft incident and accident investigation techniques with the help of proactive measures". Thesis, Національний авіаційний університет, 2020. https://er.nau.edu.ua/handle/NAU/45661.
Pełny tekst źródłaCivil aviation is a strategic priority of geopolitical, social and economic development of Ukraine and an important part of production and social infrastructure. Its sustainable, efficient operation is a necessary condition for national security, sustainable economic growth and improving living standards. With the beginning of the restructuring of economic relations, the volume of aviation activity in Ukraine has decreased significantly. The financial situation of aviation enterprises has become more complicated. It has led to a reduction in the development and improvement of civil aviation, and led not only to a slowdown in scientific and technological progress, but also to a deterioration in its technical condition. The fashion for the creation of "independent structural units" within enterprises and the industry as a whole in search of economic benefit has pushed to the background the issue of flight safety. Annual, long-term structural reorganizations with the Aviation Administration of Ukraine do not allow effective and efficient management. The predominant interests of "commerce" lead to the widespread use of strictly prohibited methods: the irreversible process of deconstruction aircraft and rearranging units, engines and equipment from one aircraft to another, extending the resources of aircraft without a proper assessment of its condition which inevitably leads to complete lack of control on the part of the Aviation Administration of Ukraine. It indicates that the level of flight safety in the air navigation system of Ukraine is not provided. A number of problems in safety theory are caused by imperfect methods of scientific research, in particular, when planning airspace.
Цивільна авіація є стратегічним пріоритетом геополітичного, соціального та економічного розвитку України та важливою частиною виробничої та соціальної інфраструктури. Його стійке, ефективне функціонування є необхідною умовою національної безпеки, стійкого економічного зростання та підвищення рівня життя. З початком перебудови економічних відносин обсяг авіаційної діяльності в Україні значно зменшився. Фінансовий стан авіаційних підприємств ускладнився. Це призвело до зменшення розвитку та вдосконалення цивільної авіації та призвело не лише до уповільнення науково-технічного прогресу, але й до погіршення її технічного стану. Мода на створення "самостійних структурних підрозділів" на підприємствах та в цілому в галузі в пошуках економічної вигоди відсунула на другий план питання безпеки польотів. Щорічні, довгострокові структурні реорганізації з Авіаційною адміністрацією України не дозволяють ефективно і результативно керувати. Переважаючі інтереси "торгівлі" призводять до широкого використання суворо заборонених методів: незворотний процес деконструкції літаків та перестановка агрегатів, двигунів та обладнання з одного літака на інший, розширення ресурсів літака без належної оцінки його стану, що неминуче призводить до повної відсутності контролю з боку авіаційного управління України. Це свідчить про те, що рівень безпеки польотів в аеронавігаційній системі України не забезпечується. Ряд проблем в теорії безпеки спричинений недосконалими методами наукових досліджень, зокрема, при плануванні повітряного простору.
Roberts, Timothy. "Design of Objective Quality Measures for Time-Scale Modification of Audio". Thesis, Griffith University, 2021. http://hdl.handle.net/10072/401637.
Pełny tekst źródłaThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Eng & Built Env
Science, Environment, Engineering and Technology
Full Text
Abu-halaweh, Nael Mohammed. "Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms". Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/48.
Pełny tekst źródłaDawood, Ghalieb. "Applying fuzzy-set theoretic poverty measures within a developmental local government context : the Khayelitsha - Mitchell's Plain case study". Thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/6759.
Pełny tekst źródłaThis paper attempts to demonstrate the importance of the linkage between the presence of poverty and the nature of governance, something largely omitted from poverty studies in South Africa. The context of this investigation was the establishment of the new local government model (i.e. Developmental Local Government), which puts governance at the forefront of addressing poverty effectively. The new governance model adopts a multidimensional poverty paradigm in its Integrated Development Planning (IDP). However, in this study we have examined whether the approach adopted (i.e. Basic Needs) is necessarily the best multidimensional approach available. We have given preference to the capabilities approach with its emphasis on well-being where people are the beneficiaries of development rather than the basic needs approach where the emphasis is on goods and services as a means to good life. Sen's Capabilities Approach was operationalised by adopting a relatively new methodology (Le. fuzzy-set theoretic poverty measures) for measuring multidimensional poverty in the Khayelitsha Mitchell's Plain (KMP) magisterial district using the Census 2001 dataset. Our results show that unemployment, housing and low incomes need the most attention in KMP. Furthermore, the fuzzy-set measures, which view poverty as opaque and vague, yield more detailed policy information, thus preventing the single-policy response dominating many IDPs at present. As a medium term policy response, it is suggested that the implementation of the extended public works programme in KMP has the potential to significantly address both the material and non-material capability failure existing in KMP.
Васильєва, Тетяна Анатоліївна, Татьяна Анатольевна Васильева, Tetiana Anatoliivna Vasylieva i O. Skrynnyk. "Neuro-Genetic Hybrid System for Management of Organizational Development Measures". Thesis, RWTH Aachen University, 2020. https://essuir.sumdu.edu.ua/handle/123456789/85490.
Pełny tekst źródłaCosta, Antonio José Leal. "Mensuração do grau de incapacitação funcional através de um modelo baseado na lógica fuzzy". Universidade de São Paulo, 2001. http://www.teses.usp.br/teses/disponiveis/6/6132/tde-30072014-143639/.
Pełny tekst źródłaObjective. This study is concerned with the measurement of disability, and its use in health and quality of life indicators. The aim was to estimate the degree of disability associated with varying functional levels, through a model based on fuzzy logic. Methods. A fuzzy linguistic model was developed, based on experts opinion. Three fuzzy input variables were considered according to: social activity, mobility and physical activity. A set with 100 fuzzy rules was derived and considered as consequent for each rule the functional disability. Functional levels were evaluated separately for each input variables on a fuzzy rating scale. The model provides a numerical estimate, d, of an individual\'s functional disability state, ranging from 0 to 10, which represent death and optimal function, respectively, obtained through defuzzification. Results. A total of 100 multidimensional functional levels were evaluated. As an example, for a functional level characterised by an individual who works but performs restrictively other social activities, needs help to use public transport and walks with physical limitations, d was estimated as 5,8, according to one of the experts. This means that one year in such a state is equivalent to 0.58 years of well life, in the absence of any kind of functional disability. Conclusions. The fuzzy model was considered a consistent alternative for the estimation of the degree of disability. It emulates human thinking, and provides an adequate framework to deal with uncertainty and imprecision, which are inherent in the measurement of functional disability.
Goyal, Vivek. "A Recommendation System Based on Multiple Databases". University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368027581.
Pełny tekst źródłaJudd, John David. "Stream splitting in support of intrusion detection". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FJudd.pdf.
Pełny tekst źródłaTaghizadeh, Vahed Amir. "Fan And Pitch Angle Selection For Efficient Mine Ventilation Using Analytical Hierachy Process And Neuro Fuzzy Approach". Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614320/index.pdf.
Pełny tekst źródłablades plays an important role in fan&rsquo
s efficiency. Therefore, selection of a fan and its pitch angle, which yields the maximum efficiency, is an emerging issue for an efficient mine ventilation. The main objective of this research study is to provide a decision making methodology for the selection of a main fan and its appropriate pitch angle for efficient mine ventilation. Nowadays, analytical hierarchy process as multi criteria decision making is used, and it yields outputs based on pairwise comparison. On the other hand, Fuzzy Logic as a soft computing method was combined with analytical hierarchy process and combined model did not yield appropriate results
because Fuzzy AHP increased uncertainty ratio in this study. However, fuzzy analytical hierarchy process might be inapplicable when it faces with vague and complex data set. Soft computing methods can be utilized for complicated situations. One of the soft computing methods is a Neuro-Fuzzy algorithm which is used in classification and DM issues. This study has two phases: i) selection of an appropriate fan using Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and ii) selection of an appropriate pitch angle using Neuro-Fuzzy algorithm and Fuzzy AHP method. This study showed that AHP can be effectively utilized for main fan selection. It performs better than Fuzzy AHP because FAHP contains more expertise and makes problems more complex for evaluating. When FAHP and Neuro-Fuzzy is compared for pitch angle selection, both methodologies yielded the same results. Therefore, utilization of Neuro-Fuzzy in situation with complicated and vague data will be applicable.
Medeiros, Anderson Vinicius de. "Modelagem de sistemas dinamicos não lineares utilizando sistemas fuzzy, algoritmos geneticos e funções de base ortonormal". [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261859.
Pełny tekst źródłaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Esta dissertação apresenta uma metodologia para a geração e otimização de modelos fuzzy Takagi-Sugeno (TS) com Funções de Base Ortonormal (FBO) para sistemas dinâmicos não lineares utilizando um algoritmo genético. Funções de base ortonormal têm sido utilizadas por proporcionarem aos modelos propriedades como ausência de recursão da saída e possibilidade de se alcançar uma razoável capacidade de representação com poucos parâmetros. Modelos fuzzy TS agregam a essas propriedades as características de interpretabilidade e facilidade de representação do conhecimento. Enfim, os algoritmos genéticos se apresentam como um método bem estabelecido na literatura na tarefa de sintonia de parâmetros de modelos fuzzy TS. Diante disso, desenvolveu-se um algoritmo genético para a otimização de duas arquiteturas, o modelo fuzzy TS FBO e sua extensão, o modelo fuzzy TS FBO Generalizado. Foram analisados modelos locais lineares e não lineares nos conseqüentes das regras fuzzy, assim como a diferença entre a estimação local e a global (utilizando o estimador de mínimos quadrados) dos parâmetros desses modelos locais. No algoritmo genético, cada arquitetura contou com uma representação cromossômica específica. Elaborou-se para ambas uma função de fitness baseada no critério de Akaike. Em relação aos operadores de reprodução, no operador de crossover aritmético foi introduzida uma alteração para a manutenção da diversidade da população e no operador de mutação gaussiana adotou-se uma distribuição variável ao longo das gerações e diferenciada para cada gene. Introduziu-se ainda um método de simplificação de soluções através de medidas de similaridade para a primeira arquitetura citada. A metodologia foi avaliada na tarefa de modelagem de dois sistemas dinâmicos não lineares: um processo de polimerização e um levitador magnético
Abstract: This work introduces a methodology for the generation and optimization of Takagi-Sugeno (TS) fuzzy models with Orthonormal Basis Functions (OBF) for nonlinear dynamic systems based on a genetic algorithm. Orthonormal basis functions have been used because they provide models with properties like absence of output feedback and the possibility to reach a reasonable approximation capability with just a few parameters. TS fuzzy models aggregate to these properties the characteristics of interpretability and easiness to knowledge representation in a linguistic manner. Genetic algorithms appear as a well-established method for tuning parameters of TS fuzzy models. In this context, it was developed a genetic algorithm for the optimization of two architectures, the OBF TS fuzzy model and its extension, the Generalized OBF TS fuzzy model. Local linear and nonlinear models in the consequent of the fuzzy rules were analyzed, as well as the difference between local and global estimation (using least squares estimation) of the parameters of these local models. Each architecture had a specific chromosome representation in the genetic algorithm. It was developed a fitness function based on the Akaike information criterion. With respect to the genetic operators, the arithmetic crossover was modified in order to maintain the population diversity and the Gaussian mutation had its distribution varied along the generations and differentiated for each gene. Besides, it was used, in the first architecture presented, a method for simplifying the solutions by using similarity measures. The whole methodology was evaluated in modeling two nonlinear dynamic systems, a polymerization process and a magnetic levitator
Mestrado
Automação
Mestre em Engenharia Elétrica
Saleh, Ali Ali Emran. "Development of Machine Learning Techniques for Diabetic Retinopathy Risk Estimation". Doctoral thesis, Universitat Rovira i Virgili, 2020. http://hdl.handle.net/10803/670493.
Pełny tekst źródłaLa retinopatía diabética (RD) es una enfermedad crónica. Es una de las principales complicaciones de diabetes y una causa esencial de pérdida de visión entre las personas que padecen diabetes. Los pacientes diabéticos deben ser examinados periódicamente para detectar signos de diabetes. desarrollo de retinopatía en una etapa temprana. La detección temprana y frecuente disminuye el riesgo de pérdida de visión y minimiza la carga en los centros de salud. El número de pacientes diabéticos es enorme y está aumentando rápidamente, lo que lo hace difícil y Consume recursos para realizar una evaluación anual para todos ellos. El objetivo principal de esta tesis es construir un sistema de apoyo a la decisión clínica (CDSS) basado en datos de registros de salud electrónicos (EHR). Este CDSS será utilizado para estimar el riesgo de desarrollar RD. En este tesis doctoral se estudian métodos de aprendizaje automático para construir un CDSS basado en reglas lingüísticas difusas. El conocimiento expresado en este tipo de reglas facilita que el médico pueda saber que combinaciones de las condiciones son las que pueden provocar el riesgo de desarrollar RD. En este trabajo propongo un método para reducir la incertidumbre en la clasificación de los pacientes que usan árboles de decisión difusos (FDT). A continuación se combinan diferentes árboles usando la técnica de Fuzzy Random Forest para mejorar la calidad de la predicción. Se proponen también varias políticas para fusionar los resultados de que nos da cada uno de los árboles (FDT). Para mejorar la decisión final propongo tres medidas difusas que se usan con las integrales Choquet y Sugeno. La definición de estas medidas difusas se basa en los valores de confianza de las reglas. En particular, uno de ellos es una medida difusa descomponible en la que se usa la estructura jerárquica del FDT para encontrar los valores de la medida difusa. Como resultado final de la investigación se ha construido un software que puede instalarse en centros de atención médica y hospitales, i que puede ser usado por los médicos de cabecera para hacer la evaluación preventiva y el cribado de la Retinopatía Diabética.
Diabetic retinopathy (DR) is a chronic illness. It is one of the main complications of diabetes, and an essential cause of vision loss among people suffering from diabetes. Diabetic patients must be periodically screened in order to detect signs of diabetic retinopathy development in an early stage. Early and frequent screening decreases the risk of vision loss and minimizes the load on the health care centres. The number of the diabetic patients is huge and rapidly increasing so that makes it hard and resource-consuming to perform a yearly screening to all of them. The main goal of this Ph.D. thesis is to build a clinical decision support system (CDSS) based on electronic health record (EHR) data. This CDSS will be utilised to estimate the risk of developing RD. In this Ph.D. thesis, I focus on developing novel interpretable machine learning systems. Fuzzy based systems with linguistic terms are going to be proposed. The output of such systems makes the physician know what combinations of the features that can cause the risk of developing DR. In this work, I propose a method to reduce the uncertainty in classifying diabetic patients using fuzzy decision trees. A Fuzzy Random forest (FRF) approach is proposed as well to estimate the risk for developing DR. Several policies are going to be proposed to merge the classification results achieved by different Fuzzy Decision Trees (FDT) models to improve the quality of the final decision of our models, I propose three fuzzy measures that are used with Choquet and Sugeno integrals. The definition of these fuzzy measures is based on the confidence values of the rules. In particular, one of them is a decomposable fuzzy measure in which the hierarchical structure of the FDT is exploited to find the values of the fuzzy measure. Out of this Ph.D. work, we have built a CDSS software that may be installed in the health care centres and hospitals in order to evaluate and detect Diabetic Retinopathy at early stages.
Escudero, Vasconez Maria Veronica. "Design and Delivery of Effective Activation Measures : what Works and for Whom?" Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEH122.
Pełny tekst źródłaToday, active labor market policies (ALMPs) are increasingly seen as a necessary tool to strengthen the link between social protection and the creation of more sustainable sources of income with a view to increasing work quality but also improving living conditions more broadly. As a result, the role of ALMPs in policy agendas remains high in most advanced economies and has increased dramatically in emerging and developing countries, where ALMPs are still less established. Despite this, there is still a lot to be learned regarding the impact of these policies, particularly with regards to the role of implementation characteristics. My dissertation aims to contribute to this debate by looking at the effectiveness of ALMPs and the role of delivery systems in shaping their impact in both, developed and emerging and developing countries.It starts by examining the effectiveness of ALMPs in OECD countries in improving labor market outcomes, especially for low-skilled individuals, from a macroeconomic perspective (Chapter 1). Capturing empirically the overall net effect of ALMPs on the wide labor market is of upmost importance, since the role of ALMPs frequently involves substitution, displacement and other indirect effects. Then, the following two chapters aim to assess whether ALMPs should be leveraged further in emerging and developing countries, by investigating the individual-level effects of two different types of ALMPs in Latin America, exploiting the availability of interesting assignment rules and good-quality individual-level data. Chapter 2 focuses on the medium- to long-term effects of a Peruvian workfare program, one of the least studied ALMPs in the region albeit commonly implemented, to assess the sustainability of these type of programs’ effects. Chapter 3 then looks at the provision of a comprehensive package of ALMPs in Argentina, implemented to support eligible beneficiaries of a conditional cash transfer program in finding more stable income opportunities. In both cases, the focus is placed on the effects on work quality and on the role of design and implementation in shaping the effects.My research suggests that ALMPs are relevant but mostly through appropriate design and implementation aspects. The results confirm the importance of these factors in ensuring effectiveness both in OECD and the Latin American countries assessed. The size of effects depends on the type of policy assessed and on the beneficiary group
Clara, i. Lloret Narcís. "Estudi de mètodes de classificació borrosa i la seva aplicació a l'agrupació de zones geogràfiques en base a diverses característiques incertes". Doctoral thesis, Universitat de Girona, 2004. http://hdl.handle.net/10803/7755.
Pełny tekst źródłaborrosos. El nucli teòric del treball el formen els capítols 3, 4 i 5; els dos primers són dos capítols de caire més general, i l'últim és una aplicació dels anteriors a la classificació dels
països de la Unió Europea en funció de determinades característiques borroses.
En el capítol 1 s'analitzen les diferents connectives borroses posant una especial atenció en aquells aspectes que en altres capítols tindran una aplicació específica. És per aquest motiu que s'estudien les ordenacions de famílies de t-normes, donada la seva importància en la transitivitat de les relacions borroses. La
verificació del principi del terç exclòs és necessària per assegurar que un conjunt significatiu de mesures borroses generalitzades, introduïdes en el capítol 3, siguin reflexives.
Estudiem per a quines t-normes es verifica aquesta propietat i introduïm un nou conjunt de t-normes que verifiquen aquest principi.
En el capítol 2 es fa un recorregut general per les relacions borroses centrant-nos en l'estudi de la clausura transitiva per a qualsevol t-norma, el càlcul de la qual és en molts casos
fonamental per portar a terme el procés de classificació. Al final del capítol s'exposa un procediment pràctic per al càlcul d'una
relació borrosa amb l'ajuda d'experts i de sèries estadístiques.
El capítol 3 és un monogràfic sobre mesures borroses. El primer objectiu és relacionar les mesures (o distàncies) usualment utilitzades en les aplicacions borroses amb les mesures
conjuntistes crisp. Es tracta d'un enfocament diferent del tradicional enfocament geomètric. El principal resultat és la introducció d'una família parametritzada de mesures que verifiquen
unes propietats de caràcter conjuntista prou satisfactòries.
L'estudi de la verificació del principi del terç exclòs té aquí la seva aplicació sobre la reflexivitat d'aquestes mesures, que són
estudiades amb una certa profunditat en alguns casos particulars.
El capítol 4 és, d'entrada, un repàs dels principals resultats i mètodes borrosos per a la classificació dels elements d'un mateix
conjunt de subconjunts borrosos. És aquí on s'apliquen els resultats sobre les ordenacions de les famílies de t-normes i t-conormes estudiades en el capítol 1. S'introdueix un nou mètode
de clusterització, canviant la matriu de la relació borrosa cada vegada que s'obté un nou clúster. Aquest mètode permet homogeneïtzar la metodologia del càlcul de la relació borrosa amb
el mètode de clusterització.
El capítol 5 tracta sobre l'agrupació d'objectes de diferent naturalesa; és a dir, subconjunts borrosos que pertanyen a diferents conjunts. Aquesta teoria ja ha estat desenvolupada en el
cas binari; aquí, el que es presenta és la seva generalització al cas n-ari. Més endavant s'estudien certs aspectes de les projeccions de la relació sobre un cert espai i el recíproc,
l'estudi de cilindres de relacions predeterminades. Una aplicació sobre l'agrupació de les comarques gironines en funció de certes
variables borroses es presenta al final del capítol.
L'últim capítol és eminentment pràctic, ja que s'aplica allò estudiat principalment en els capítols 3 i 4 a la classificació dels països de la Unió Europea en funció de determinades
característiques borroses. Per tal de fer previsions per a anys venidors s'han utilitzat sèries temporals i xarxes neuronals.
S'han emprat diverses mesures i mètodes de clusterització per tal de poder comparar els diversos dendogrames que resulten del procés
de clusterització.
Finalment, als annexos es poden consultar les sèries estadístiques utilitzades, la seva extrapolació, els càlculs per a la construcció de les matrius de les relacions borroses, les matrius
de mesura i les seves clausures.
This thesis is organized in six chapters with the final goal to found and explain the mathematical set of tools necessary to classify sets of fuzzy sets. The theoretic kernel is made by the chapters 3, 4 and 5; the first and second are more generals and the last one is an aplication of the precedent to make a classification of the union european countries in function of some vague attibutes.
In the first chapter we analize the different fuzzy logic connectives making a special attention those aspects which will have a specific application in other chapters. Is for this reason that we study the order of families of t-norms, given its importance in the transivity of fuzzy relations. The verification of the third excluded principle is necessary to ensure that a significant set of generalized fuzzy measures, introduced in the chapter 3, were reflexive. We study for which t-norms is verified this property and we introduce a new set of t-norms which verify this principle.
In the second chapter we study in a general way the fuzzy relations making a special attention in the transivity closure for any t-norm, its calculus is in a lot of cases basic to make the classification process. At the end of this chapter we describe a practical method to find a fuzzy relation with the help of experts and statistical series.
The third chapter is a monographic about fuzzy measures. The first goal is to relate the measures (or distances) usually used in the fuzzy applications with the crisp measures. The question is to change the traditional geometrical point of view for another absolutely fuzzy. The first result is the introduction of a parametrized family of measures that verify a set of properties enough satisfactories. The study of the third exclude principle has here its application about the reflexivity of these measures which are studied with certain profundity in some particular cases.
The fourth chapter is, at the beginning, a review of the main results and fuzzy methods for the classification of elements of a same set of fuzzy sets. Is now where we apply the results of orders for t-norms and t-conorms studied in the first chapter. We introduce a new method of fuzzy clustering, changing the fuzzy relation matrix each time that we obtain a new cluster. This method permit to homogenize the methodology of the calculus of the fuzzy relation with the clustering method.
The fifth chapter is about the objects association of different nature; that is, fuzzy subsets that belong to different sets. This theory already has been developed in the binary case; here, we submit its generalization for the n dimensional case. Later, we study certain aspects of the fuzzy relation projection on a certain space and the reciprocal, the cilindrical extensions. An application about grouping regions of Girona in function of some uncertain attibutes finish the chapter.
The last chapter is eminently applied, because we apply that studied in the 3 and 4 chapters to classify the union european countries in function of some fuzzy attributes. To do forecasts for coming years we have used time series and neural networks. We have used several measures and clustering methods in order to compare the dendograms that result of the clustering process.
Finally, in the suplements we can consult the used time series, its extrapolation, the calculus to construct the fuzzy relations, the measure matrixs and its closures.
Abdel-Jaber, Hussein F. "Performance Modelling and Evaluation of Active Queue Management Techniques in Communication Networks. The development and performance evaluation of some new active queue management methods for internet congestion control based on fuzzy logic and random early detection using discrete-time queueing analysis and simulation". Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4261.
Pełny tekst źródłaIvana, Štajner-Papuga. "Uopštena konvolucija". Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2001. https://www.cris.uns.ac.rs/record.jsf?recordId=5987&source=NDLTD&language=en.
Pełny tekst źródłaIn this thesis the generalized convolution have been defined. This operation with functions has applications in different mathematical theo ries, for example in Probabilistic Metric Spaces, PDE, System and Control Theory, Fuzzy numbers. Some basic properties of this operation has been proved, as well as connection between generalized convolutions based on different classes of semirings. (5, U)-convolution has been defined, as well as convolution based on generalized pseudo-operations.
Chandran, Gautam David. "The development of a fuzzy semantic sentence similarity measure". Thesis, Manchester Metropolitan University, 2013. http://e-space.mmu.ac.uk/617190/.
Pełny tekst źródłaAssi, Jolnar Abdulkarim. "Knightian uncertainty modelling and its impact on option pricing : applications of fuzzy set theory, fuzzy measure theory and fuzzy differential calculus". Thesis, City University London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274460.
Pełny tekst źródłaVarghese, Rency Susan. "Confidence Measure for DNA Base Calling Using a Fuzzy System". Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/VargheseRS2004.pdf.
Pełny tekst źródłaFischer, Manfred M., i Josef Benedikt. "The Use of Fuzzy Set Theory in Remote Sensing Pattern Recognition". WU Vienna University of Economics and Business, 1996. http://epub.wu.ac.at/4174/1/WSG_DP_5096.pdf.
Pełny tekst źródłaSeries: Discussion Papers of the Institute for Economic Geography and GIScience
Lo, Yi-Chen. "Detection of gas/odor based on quartz crystal microbalance sensors and fuzzy similarity measure". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Pełny tekst źródłaChen, Yen-He, i 陳彥合. "Developing Decision Weights by Fuzzy Number-Valued Fuzzy Measures". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/ezzdze.
Pełny tekst źródła長庚大學
企業管理研究所
95
Under current environment, the single attribute decision method can’t match the reality any more. When facing multiple criteria decision making (MCDM), the importance of each attribute varies. That makes the matter of how to appraise each attribute become more important. The different degrees of significance change the consequences of selection. That makes the set up of the weight become very important when we facing MCDM. Therefore, this research will categorize and illustrate the present decision weight by reviewing documents. In normal decision weight, the most frequent question about attribute is too many hypotheses. For example, it has to match independence, additive…and so on. Based on facing the problems of over hypothesis, some scholars suggested to measure weight by Fuzzy Measures. After the experiments of this research, we found out that if we calculate weight by fuzzy measures tends to have a phenomenon of Positive Leniency. Therefore, this research based on Fuzzy Measures to develop decision weight by fuzzy numbers to improve the phenomenon of Positive Leniency. The biggest difference between these two methods lies in that ZFM uses the concept of distance to show the difference of importance among each attribute and get triangular fuzzy number of each attribute by the distance and use different α-cut value to obtain different fuzzy numbers. After the Choquet integration, we can have project evaluation. After confirm the research method, we can compare to project evaluation by AHP, FM and ZFM. This research will divided products into 3 categories: Functional, Hedonic and Hybrid. Pick two products from each category to proceed the project evaluation. Products we choose are: shampoo, printer, KTV store, cinema, note book and jeans. There are 3 methods:AHP, FM and ZFM. Based on these 3 methods, this research uses 4 principals to compare to each other: data base, difficulty of calculation, Hit ratio of alternative priority and positive leniency. We found out that in the aspect of data base. When the attribute number and , HP needs the biggest data base among FM and ZFM. When attribute number n become bigger, then AHP needs more data base. In the aspect of difficulty of calculation, AHP has more difficult calculation procedure while ZFM and FM haven’t. In the aspect of Hit ratio of alternative priority, each one is: AHP-58.20%、FM-57.87%及ZFM-66.85%, Therefore, in the method of this: ZFM AHP FM. In the aspect of positive leniency, none of FM or ZFM can completely decide examiner toward to the phenomenon of positive leniency but ZFM can make this question become better. Therefore, no matter in the aspect of data base, difficulty of calculation or Hit ratio of alternative priority, ZFM is better than AHP. We hope that as the development of ZFM goes, we can make right decisions when the decision maker faces a situation of multi-attribute problems.
Yun-Lun, Tsai, i 蔡昀倫. "New Fuzzy-Number Similarity Measures for Fuzzy Clustering Problems". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/86716547251835793537.
Pełny tekst źródła國立聯合大學
資訊管理學系碩士班
102
This study propose two methods for measuring the degree of similarity with generalized fuzzy numbers and interval-valued fuzzy numbers based on mean mapping distance ratio and mean absolute deviation. Some properties of the methods are demonstrated, then 56 sets of generalized fuzzy numbers and 25 sets of interval-valued fuzzy numbers are adopted to compare the proposed methods with the existing methods. The results indicated that the proposed methods are better than existing methods. Furthermore, we propose a fuzzy number clustering method using the proposed methods of similarity measure, and then we analyzed four literatures and compared the proposed clustering method with the existing methods. Comparative results indicated that the proposed method can overcome the drawbacks of the existing methods. A numerical example is demonstrated the new mechanism.
Shie, Jen-Da, i 謝政達. "New Methods for Handling Classification Problems Based on Fuzzy Entropy Measures and Fuzzy Information Gain Measures". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/93504009282990968312.
Pełny tekst źródła國立臺灣科技大學
資訊工程系
94
Classification techniques have been widely applied in many domains. In this thesis, we propose two new methods for handling classification problems. The first method selects feature subsets for handling classification problems based on fuzzy entropy measures focusing on boundary samples. It can deal with both numeric and nominal features. It can select relevant features to get higher average classification accuracy rates than the ones selected by the existed methods. The second method handles classification problems based on fuzzy information gain measures. It can deal with both numeric and nominal features. It can get higher average classification accuracy rates than the existed methods.
Hsiao, Chien-Lan, i 蕭建蘭. "Similarity Measures in Fuzzy Regression Models". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/74145993398701467870.
Pełny tekst źródłaWu, Mei-Ching, i 伍美菁. "On Semantic Measures of Fuzzy Data in Fuzzy Relational Databases". Thesis, 2002. http://ndltd.ncl.edu.tw/handle/76728890066867422258.
Pełny tekst źródła元智大學
資訊管理學系
90
Function Depenendcy stands on the semantic relationship on relational database, and the basis to the normalized of data. The research on assessing data semantic relationship between fuzzy data in fuzzy relational databases has been undertaken with respect to various fuzzy models recently. This paper proposes an approach for evaluating semantic relationship between fuzzy data in relational databases, where the fuzziness of data is modeled in both attribute values and attribute domain elements. Particularly, the attribute values are presented by a possibility distribution, and are applied on attribute domain elements. Otherwise, the properties of fuzzy data with Semantic Proximxity are also included, where the correctness and soundness are proved that inferring to the relative theorem of Fuzzy Functional Dependency(FFD). Finally, it is supposed to implement the prototype system of " the analysis of Fuzzy Data similarity " and to calculate Semantic Proximity to determined the similarity.
chin-chun, chen, i 陳進春. "Theory and Application of the Composed Fuzzy Measure of L-Measure and Delta-Measures". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/80250545345543737651.
Pełny tekst źródła國立臺中教育大學
教育測驗統計研究所
98
When there are interactions among independent variables, traditional multiple linear regression models do not perform well enough. The traditional improved methods exploited the ridge regression models. In this paper, we suggest using the Choquet integral regression models based on some single or compounded fuzzy measures to improve this situation. The well-known fuzzy measures, -measure and P-measure, have only one formulaic solution. Two multivalent fuzzy measures with infinitely many solutions were proposed by our previous works, called L-measure and -measure, but L-measure do not include the additive measure and -measure has not so many measure solutions as L-measure. Due to the above drawbacks, an improved fuzzy measure composed of the above two multivalent fuzzy measures, denoted -measure, is developed. For evaluating the Choquet integral regression models with our developed fuzzy measure and other different ones, two real data experiment by using a 5-fold cross-validation mean square error (MSE) is conducted. The performances of Choquet integral regression models with fuzzy measure based on respective -measure, L-measure, -measure, -measure, and P-measure, a ridge regression model, and a multiple linear regression model are compared. Experimental result shows that the Choquet integral regression models with respect to -measure based on -support outperforms others forecasting models.
Wang, ZhiYong, i 王智永. "Design New Fuzzy-Number Similarity Measures and Fuzzy-Number Clustering Method". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/41112788594070593554.
Pełny tekst źródła國立聯合大學
資訊管理學系碩士班
100
This study proposes new methods based on map distance to measure the degree of similarity between generalized and interval-valued fuzzy numbers. Some properties of the proposed similarity measures are demonstrated here. There are 50 sets of generalized fuzzy numbers and 21 sets of interval-valued fuzzy numbers are adopted to compare the proposed methods with some existing similarity measures for proving the proposed similarity measures are better than the existing methods. Furthermore, the proposed similarity measure is used to deal with fuzzy-number cluster problems. We present a new method for handling the fuzzy clustering problems of which the characteristic values and weights of indices are generalized fuzzy numbers. The proposed mechanism is based on the fuzzy-number similarity measure. Firstly determine the linguistic evaluating values and the linguistic weights of each evaluating criterion with respect to the alternatives. Then measure the degree of similarity between two arbitrary weighted evaluating values on the same criterion. Finally constructing the hierarchical cluster tree and generated different clusters. A numerical example is demonstrated the new mechanism.
Lin, Der-Chen, i 林德成. "On measures of type-2 fuzzy sets". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/42726357119000209383.
Pełny tekst źródła中原大學
應用數學研究所
96
Abstract In a practical complex system, humans sometimes use only binary logic theory for deducing some objects or information which is not sufficient to explain all situations. Thus, a fuzzy concept can be utilized for assisting deductions. As for some unclear, uncertain, and incomplete information, they can be compared and screened by measured value of fuzzy set. Additionally, the new definition and theorem of type-2 fuzzy sets proposed by Mendel and John in recent years have been widely studied and spread, and applied to many fields. This dissertation presents a relative definition of measurement of fuzzy degree, inclusion degree and similarity degree to type-2 fuzzy sets, and discusses certain relativity and properties among them. Illustrations for practical demand are used to show how to calculate the measurement of fuzzy degree, inclusion degree and similarity degree among type-2 fuzzy sets. Furthermore, in the discussion, the algorithm of Yang and Shish is used as a method for cluster analysis, and comparison is made with the results of Hung and Yang. According to different α-levels, these cluster results are reasonably included in a hierarchical tree.
Li, Chia Hang, i 李佳航. "Accessing Informational Importance Using Intuitionistic Fuzzy Entropy Measures". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/10228714901450788932.
Pełny tekst źródła長庚大學
企業管理研究所
96
In Multiple Attribute Decision Making (MADM), it is important to properly assess the attribute weight, because different weight result would often cause entirely different decision result. Furthermore, after the IFS was applied to solve MADM problems, it causes our data and decision matrix get more complex and contain more uncertainty, and therefore it is relatively important to make sure of the credibility of data itself. However, there is little investigation on MADM with the credibility of data being explicitly taken into account in the past. In our research, we propose a new objective weight method by using IF entropy measures for MADM under intuitionistic fuzzy environment. We utilize the nature of IF entropy to assess the attribute weight based on the credibility of data. Moreover, there were many IF entropy measures which were originated with different theories, and we also investigate the differences among those varied measures. According to the experiment result, the differences undoubtedly exist among those measures. Even the measures which were originated from the same theory also contain variation among them. Besides, we also understand the number of attributes and alternatives would influence the degree of difference among those measures.
Wei, Shih-Hua, i 魏世驊. "New Methods for Fuzzy Risk Analysis Based on Similarity Measures between Fuzzy Numbers". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/am43ea.
Pełny tekst źródła國立臺灣科技大學
資訊工程系
95
In recent years, the task of measuring the degree of similarity between fuzzy numbers plays an important role in fuzzy decision making, information fusion and fuzzy risk analysis. In this thesis, we present two similarity measures for generalized fuzzy numbers and interval-valued fuzzy numbers. It combines the concepts of geometric distance, the perimeter, height and center of gravity point of generalized fuzzy numbers and interval-valued fuzzy number, respectively. Moreover, we also presented an interval-valued fuzzy number adjusting algorithm. Based on proposed similarity measures, we propose two new methods for handling fuzzy risk analysis problems. The proposed fuzzy risk analysis methods can overcome the drawback of existing methods. They can deal with fuzzy risk analysis in a more intelligent and flexible manner.
Jiun, Ku Tai, i 古苔均. "Determining attribute importance based on triangular and trapezoidal fuzzy numbers in (z)fuzzy measures". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/16831452245780676924.
Pełny tekst źródła長庚大學
企業管理研究所
95
Weight is one of the most useful tools and it becomes the core of decision-making and the center of a method for measuring attribute importance. Besides, weight method is often measured by fuzzy numbers. Triangular fuzzy numbers (TFNs) and trapezoidal fuzzy numbers (TrFNs) of the types are the most easily and simply of GLRFN. Moreover, we consider the value of fuzzy measures as a linguistic value and then convert linguistic terms to fuzzy numbers. (z)fuzzy measures constructs membership functions that adequately capture the meanings of linguistic terms. The purpose of this study is to use (z)fuzzy measures to determine attribute importance. Then, we use different fuzzy numbers such as TFNs and TrFNs to analyze the result of the empirical study. Besides, we also use different distance measures to adjust attribute importance. In TFNs, we selected five types about five-scales of fuzzy linguistic scale. In TrFNs, we also selected three types about five-scales of fuzzy linguistic scale. First, respondents will choice the most important attribute and then distance measures can adjust between the most important attribute and others. So, we can get the TFN and TrFN of every attribute. Later, we used (z)fuzzy measures to obtain attribute importance. In next step, we will calculate (z)fuzzy integrals for all alternatives and use centre-index method to get a crisp number. Finally, we establish a priority of alternatives with respondents using Spearman rank-order correlation coefficient, the consistency of the best alternative and the consistency of the better alternative. We collect sixteen samples from college and graduate school. The result showed three points. First, there are no significant difference between five scales of TFNs and three scales of TrFNs. Second, TFNs obtain similar analysis result to TrFNs. Therefore, we can not use more complex TrFNs to determine attributes importance. Finally, there are no significant differences between three distance measures.
Kao, Hsiao-Wei, i 高曉薇. "New Fuzzy-Number Similarity Measures and Prioritized Information Fusion Mechanisms for Fuzzy Recommendation Problems". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/20907517971403212545.
Pełny tekst źródła國立聯合大學
管理碩士學位學程
98
In this thesis, we propose a new method for measuring the degree of similarity between generalized fuzzy numbers based on standard deviation. Some properties of the proposed similarity measure are demonstrated, and 44 sets of generalized fuzzy numbers are applied to compare the proposed method with existing similarity measures. Furthermore, the proposed similarity measure is used to solve fuzzy recommendation problems. A decision maker’s evaluations of parameters or variables involve with real-world problems that can be represented by interval-valued fuzzy numbers. Therefore, we also present a new similarity measured method that based on the standard deviation operator to solve before similarity measurement between interval-valued fuzzy numbers. In addition, some properties of the proposed similarity measure have been demonstrated, and 17 sets of interval-valued fuzzy numbers are adopted to compare the proposed method with existing similarity measures. Furthermore, the proposed similarity measure is used to deal with fuzzy recommendation problems. Chen and Chen [23] and Hong et. al [40] presented new prioritized information fusion algorithm for handling fuzzy information retrieval problems. However, according to our research, these algorithms still have the following drawbacks. Thence, we present a new prioritized information fusion algorithm based on based on GMA operator and fuzzy-number similarity measure to deal with prioritized multi-criteria fuzzy decision-making problems and prioritized information filtering problems based on generalized fuzzy numbers. However, some researchers have pointed out that using interval-valued fuzzy numbers for representing linguistic terms improves flexibility. Thence, we also present a new prioritized information fusion algorithm for handling information filtering problems based on interval-valued fuzzy numbers. Furthermore, we use the proposed fusion algorithm for handling information filtering problems. The proposed prioritized information fusion algorithm can deal with information filtering problems in a more flexible manner.
Li, Hou Hsun, i 李後勳. "A Study of Intuitionistic Fuzzy Similarity Measures on Group Decision Making". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/55025887950799017965.
Pełny tekst źródła長庚大學
企業管理研究所
97
In 1965, fuzzy sets were introduced by Zadeh to deal with the imprecise and variable data in real life. In several decades later, intuitionistic fuzzy set theory were developed by Atanassov to express the human feeling with numerical numbers, and were proposed in group decision making. One practical application is similarity measures. Naturally, at the beginning of every group decision making problem, experts’ opinions may differ substantially. Therefore, it is necessary to develop a consensus process in an attempt to obtain the maximum degree of consensus or agreement between the set of experts on the solution set of alternatives. Consensus model process is processed to integrate a single opinion into group opinions, which could be ranked by numerical numbers. The aim of this paper is to present a consensus model for solving group decision making problems in intuitionistic fuzzy set environment. We conduct the proposed method on different similarity measures to discuss the effect to the ranking result. The similarity measures are separated into four groups from each similarity measure expression and its own measuring focus. In addition, a comprehensive experimental analysis to observe the intuitionistic fuzzy consensus results yielded by different similarity measures is presented. Several comparison indices are examined, including the average Spearman correlation coefficients, the consistency rate, the inversion rate, and the contradiction rate. According to the results, the four indices are affected as the number of decision alternatives in a problem increases. On the other hand, the number of attributes, and the number of experts have only a minor practical influence in view of the four indices. We suggest forward researchers that it might be a better choice to apply a simple and measure.
Liao, Z.-Han, i 廖姿涵. "On similarity, inclusion and entropy measures between interval-valued fuzzy sets". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/88412490306171034612.
Pełny tekst źródła中原大學
應用數學研究所
103
Interval-valued fuzzy sets (IVFSs) are an extension of fuzzy sets. Since IVFSs present fuzzy sets with interval-valued memberships, they could have more widely for uncertainty modeling than fuzzy sets and are also easier to handle in practice than type-2 fuzzy sets. It is known that similarity, inclusion and entropy are the three important measures for fuzzy concepts. In this paper, we first propose new inclusion measures for IVFSs. We then derive similarity measures between IVFSs based on these inclusion measures. Furthermore, we take a weighted average of these two similarity measures between IVFSs and then construct new entropy measures for IVFSs. Some properties of these new similarity, inclusion and entropy measures between IVFSs are made. We also make numerical comparisons of the proposed measures with some existing measures. These comparison results show the superiority of the proposedmeasures.
LIN, SHYI-CHYUAN, i 林錫泉. "A study in the sequencing problem with multiple fuzzy performance measures". Thesis, 1992. http://ndltd.ncl.edu.tw/handle/57982391139681474451.
Pełny tekst źródłaChen, Chia-Ling, i 陳佳伶. "New Fuzzy Interpolative Reasoning Methods Based on Ranking Values of Polygonal Fuzzy Sets, Automatically Generated Weights of Fuzzy Rules and Similarity Measures Between Polygonal Fuzzy Sets". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/47496074659379726144.
Pełny tekst źródła國立臺灣科技大學
資訊工程系
103
Fuzzy interpolative reasoning is a very important research topic for sparse fuzzy rule-based systems. In this thesis, we propose two new fuzzy interpolative reasoning methods for sparse fuzzy rule-based systems based on polygonal fuzzy sets and the ranking values of polygonal fuzzy sets. In the first method of our thesis, we propose a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on ranking values of polygonal fuzzy sets and automatically generated weights of fuzzy rules. The experimental results show that the proposed method can overcome the drawbacks of the existing fuzzy interpolative reasoning methods for fuzzy interpolative reasoning in sparse fuzzy rule-based systems. In the second method of our thesis, we propose a new adaptive fuzzy interpolation method based on ranking values of polygonal fuzzy sets and similarity measures between polygonal fuzzy sets. The proposed adaptive fuzzy interpolation method performs fuzzy interpolative reasoning using multiple fuzzy rules with multiple antecedent variables and solves the contradictions after the fuzzy interpolative reasoning processes based on similarity measures between polygonal fuzzy sets. The experimental results show that the proposed adaptive fuzzy interpolation method outperforms the existing methods for fuzzy interpolative reasoning in sparse fuzzy rule-based systems.
Chen, Jim-Ho, i 陳進和. "New Methods for Fuzzy Risk Analysis Based on Ranking Generalized Fuzzy Numbers and Similarity Measures between Interval-Valued". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/3h94qt.
Pełny tekst źródła國立臺灣科技大學
資訊工程系
95
In this thesis, we present two methods for fuzzy risk analysis based on ranking generalized fuzzy numbers and similarity measures between interval-valued fuzzy numbers. First, we present a new method for ranking generalized fuzzy numbers for handling fuzzy risk analysis problems. The proposed method considers defuzzified values, the weight and the spreads of generalized fuzzy numbers. Moreover, we also apply the proposed method for ranking generalized fuzzy numbers to present a new method for dealing with fuzzy risk analysis problems. Then, we present a new similarity measure for interval-valued fuzzy numbers. The proposed similarity measure considers five factors, i.e., the degree of similarity on X-axis between the upper fuzzy numbers of the interval-valued fuzzy numbers, the degree of similarity about the weight of the upper fuzzy numbers of the interval-valued fuzzy numbers, the spread between the upper fuzzy numbers of the interval-valued fuzzy numbers, the degree of similarity on the X-axis between the interval-valued fuzzy numbers, and the degree of similarity on the Y-axis between the interval-valued fuzzy numbers. Moreover, we also present new interval-valued fuzzy numbers arithmetic operators and apply the proposed similarity measure to present a new method for dealing with fuzzy risk analysis problems based on interval-valued fuzzy numbers. The proposed fuzzy risk analysis methods provide us a useful way for handling fuzzy risk analysis problems.