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Dissertations / Theses on the topic 'Method of multicriteria classification'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Nemery, De Bellevaux Philippe. "On the use of multicriteria ranking methods in sorting problems." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210424.

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Notre thèse est consacrée à l’étude des méthodes de rangements multicritères dans le cadre de la problématique de tri.<p> <p>Dans un problème de tri une personne, appelée décideur, désire assigner un objet, appelé action, à des catégories prédéfinies. Des problèmes de tri surgissent régulièrement dans la vie de tous les jours. Par exemple, un médecin ausculte son patient et sur base des symptômes observés, il assigne son patient à une catégorie de pathologies. Ainsi, le médecin peut prescrire un traitement approprié. Par ailleurs, on catégorise les cyclones tropicaux en fonction de leur vitess

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Tufekci, Nesrin. "Gis Based Geothermal Potential Assessment For Western Anatolia." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607651/index.pdf.

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This thesis aims to predict the probable undiscovered geothermal systems through investigation of spatial relation between geothermal occurrences and its surrounding geological phenomenon in Western Anatolia. In this context, four different public data, which are epicenter map, lineament map, Bouger gravity anomaly and magnetic anomaly maps, are utilized. In order to extract the necessary information for each map layer the raw public data is converted to a synthetic data which are directly used in the analysis. Synthetic data employed during the investigation process include Gutenberg-Richter

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Загородня, Тетяна Миколаївна. "Моделі та інформаційна технологія забезпечення компетентності випускників вищого навчального закладу з урахуванням вимог роботодавця". Thesis, Сумський державний університет, 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/18188.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2015. У дисертаційній роботі вирішена актуальна науково-практична задача обґрунтування та розробки інформаційної технології забезпечення компетентності випускників ВНЗ з урахуванням вимог роботодавця до компетентності фахівців. Проаналізовано наукові досягнення в області підвищення ефективності навчання з урахуванням модульної системи і компетентісного підходу, сформульовано основні вимоги до ін

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Загородня, Тетяна Миколаївна. "Моделі та інформаційна технологія забезпечення компетентності випускників вищого навчального закладу з урахуванням вимог роботодавця". Thesis, НТУ "ХПІ", 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/18178.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2015. У дисертаційній роботі вирішена актуальна науково-практична задача обґрунтування та розробки інформаційної технології забезпечення компетентності випускників ВНЗ з урахуванням вимог роботодавця до компетентності фахівців. Проаналізовано наукові досягнення в області підвищення ефективності навчання з урахуванням модульної системи і компетентісного підходу, сформульовано основні вимоги до і

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Vafaeyan, Shadi. "A new approach to the Rough Set multicriteria optimisation method." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/28031.

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In the recent years, enormous amount of attention has been given to multicriteria optimisation problems. These are problems with conflicting objectives, to which it is impossible to obtain an optimum solution that contains the best value for every criterion simultaneously, therefore the decision maker must decide on a reasonable compromise. There have been numerous developments of optimisation methods to aid the decision-maker in addressing such problems. These methods can be divided to two categories based on the use or not of the Pareto domain (PD). The Pareto domain is the set of all non-do

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6

Capanna, Ilaria. "Simplified multicriteria method for seismic assessment of unreinforced masonry buildings." Doctoral thesis, Università degli Studi dell'Aquila, 2022. https://hdl.handle.net/11697/198067.

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The aims and motivations that were driven this PhD thesis arise from the common interest on the mitigation of the seismic risk, wide field of continuous relevance and of interest for different disciplines. The scientific community, specially in engineering field, reserves attentions on the mitigation of the seismic risk. The human and economic losses, caused by fragilities of the urban centres, manifested in the aftermath of a seismic event, confirm the need of research effort. The PhD thesis presents a multi criteria method for seismic assessment of unreinforced masonry buildings, URMs. The

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7

Buonanno, Michael Alexander. "A Method for Aircraft Concept Exploration using Multicriteria Interactive Genetic Algorithms." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7571.

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The problem of aircraft concept selection has become increasingly difficult in recent years due to changes in the primary evaluation criteria of concepts. In the past, performance was often the primary discriminator whereas modern programs have placed increased emphasis on factors such as environmental impact, economics, supportability, aesthetics, and other metrics. The revolutionary nature of the vehicles required to simultaneously meet these conflicting requirements has prompted a shift from design using historical data regression techniques for metric prediction to the use of sophisticated

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PAIXÃO, GIOVANNA PATE DA. "STOCK PORTFOLIO SELECTION MODEL: AN APPLICATION OF MULTICRITERIA METHOD ANALYTIC HIERARCHY PROCESS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34578@1.

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Com o intuito de obter parte do lucro futuro de uma empresa, o investidor adquire uma ação - título que representa a menor parcela do capital de uma empresa. Tal investidor, interessado em investir em ações, se depara com uma primeira decisão a tomar: em quais ações investir. Existem diversos métodos para a seleção de ações, podendo ser classificados em métodos puramente objetivos, puramente subjetivos e métodos compostos. O presente trabalho visa propor um método composto, baseado no modelo multicritério Analytic Hierarchy Process (AHP), para ordenar as ações nas quais o investidor deve inves

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Dur, Fatih Çelik H. Murat. "The Usage Of Stochastic And Multicriteria Decision-Aid Methods Evaluating Geothermal Energy Exploitation Projects/." [s.l.]: [s.n.], 2005. http://library.iyte.edu.tr/tezler/master/sehirplanlama/T000324.pdf.

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Thesis (Master)--İzmir Institute of Technology, İzmir, 2005.<br>Keywords: Geothermal energy, multi criteria decision method, stochastic methods, Monte Carlo method. Includes bibliographical references (leaves.93-98).

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10

GOMES, KESIA GUEDES ARRAES. "A MULTICRITERIA METHOD FOR THE LOCATION OF INTENDANCY CELLULAR UNITS OF THE BRAZILIAN AIR FORCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14984@1.

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As Unidades Celulares de Intendência (UCI) da Força Aérea Brasileira são estruturas móveis destinadas a prestar o apoio logístico ao homem, quando deslocado de sua Organização Militar de origem, para cumprir missão real ou de adestramento, em locais remotos ou desprovidos de recursos. Na FAB, existem oito UCI distribuídas regionalmente pelo território nacional brasileiro. Para atender ao Plano de Articulação da FAB e aos ditames da Estratégia Nacional de Defesa, vários estudos foram desenvolvidos, na Diretoria de Intendência, Órgão Central do Sistema de Intendência Operacional, acerca da siste

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11

Dannert, Sofia, and Josefin Norström. "Metod för bedömning och jämförelse av insamlings- och sorteringssystem för hushållsavfall : Utveckling av ett verktyg för multikriterieanalys med en- och fåfamiljshus i Linköpings kommun som fall." Thesis, Linköpings universitet, Industriell miljöteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148883.

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En av de största globala utmaningarna idag är de negativa miljöeffekterna från den linjära ekonomin som världen bygger på, där produkter oupphörligt skapas från jungfruliga råvaror och efter användningstiden slutar som avfall utan nytta. Initiativ på flera nivåer; lokalt, regionalt, nationellt och globalt, krävs för att uppnå en cirkulär ekonomi där uppkomsten av avfall, samt utvinningen av jungfruliga råvaror, minskar. Europeiska unionens handlingsplan för cirkulär ekonomi säger att 75 % av alla förpackningar ska materialåtervinnas till år 2030. I Sverige materialåtervinns mellan 42,2 % (plas

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Maskeliūnaitė, Lijana. "The model for multicriteria evaluation of the quality of passenger transportation by international trains." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130122_170551-82864.

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The dissertation considers the problems, associated with passenger transportation by international trains (PTIT). The research object is the process of passenger transportation by international trains (PPTIT). By using the experimental methods, the significances (weights) and the order of preferences of the qualitative criteria, describing this process, are determined. The complex model, deve-loped by the author for multicriteria PTIT evaluation, allows for determining a single-valued quantitative criterion for evaluating a particular train travelling on a particular route. The main aim of the

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FranÃa, Francisco Mavignier Cavalcante. "Indicators integrated sustainability and analysis multicriteria dams underground in CearÃ state." Universidade Federal do CearÃ, 2016. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=17258.

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Instituto Centro de Ensino TecnolÃgico<br>The underground dam is a social technology of low cost and simple process of construction and operation. In the semi-arid zone of Ceara there is potential to build approximately 3,400 underground dams. The central problem of this study is the lack of in-depth knowledge of the degree of sustainability of underground dams of CearÃ, in economic, social, environmental and institutional terms. The objective of this thesis is to analyze the sustainability of underground dams, the state of CearÃ, as a social technology to living as semi-arid. For this, we use

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França, Francisco Mavignier Cavalcante. "Indicators integrated sustainability and analysis multicriteria dams underground in Ceará state." reponame:Repositório Institucional da UFC, 2016. http://www.repositorio.ufc.br/handle/riufc/19077.

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FRANÇA, Francisco Mavignier Cavalcante. Indicators integrated sustainability and analysis multicriteria dams underground in Ceará state. 2016. 166 f. : Tese (doutorado) - Universidade Federal do Ceará, Pró-Reitoria de Pesquisa e Pós-graduação, Programa de Pós-Graduação em Desenvolvimento e Meio Ambiente, Fortaleza-CE, 2016<br>Submitted by Nádja Goes (nmoraissoares@gmail.com) on 2016-08-12T14:47:24Z No. of bitstreams: 1 2016_tese_fmcfrança.pdf: 3776458 bytes, checksum: 7051da08a8b5dd0421f041da65f8f3f7 (MD5)<br>Approved for entry into archive by Nádja Goes (nmoraissoares@gmail.com) on 2016-08-

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Vega, Irizarry Alfredo. "Average likelihood method for classification of CDMA." Thesis, State University of New York at Buffalo, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10127689.

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<p> Signal classification or automatic modulation classification is an area of research that has been studied for many years, originally motivated by military applications and in current years motivated by the development of cognitive radios. Its functions may include the surveillance of signals of interest and providing information to blind demodulation systems.</p><p> The problem of classifying Code Division Multiple Access (CDMA) signals in the presence of Additive White Gaussian Noise (AGWN) is explored using Decision Theory. Prior state-of-the-art has been limited to single channel digi

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De, Lance Holmes Christopher Charles. "Bayesian method for nonlinear classification and regression." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394926.

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Abdelwahab, Manal M. "SELF DESIGNING PATTERN RECOGNITION SYSTEM EMPLOYING MULTISTAGE CLASSIFICATION." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4479.

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Recently, pattern recognition/classification has received a considerable attention in diverse engineering fields such as biomedical imaging, speaker identification, fingerprint recognition, etc. In most of these applications, it is desirable to maintain the classification accuracy in the presence of corrupted and/or incomplete data. The quality of a given classification technique is measured by the computational complexity, execution time of algorithms, and the number of patterns that can be classified correctly despite any distortion. Some classification techniques that are introduced in the

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Huang, Jian Giles C. Lee. "A multiclass boosting classification method with active learning." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4765/index.html.

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Kaszycki, Gregory John. "An Adaptive Non-parametric Kernel Method for Classification." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20000328-123728.

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<p>One statistical method of estimating an underlying distribution from a set of samples is the non-parametric kernel method. This method can be used in classification toestimate the underlying distributions of the various classes. Since it can be shown that there is no perfect shape to a kernel function used to estimate an underlyingdistribution, several functions have been proposed and none is superior in all cases. This thesis demonstrates that a function can be created that adapts its shape to fitthe properties of the underlying data set. The function adapts its shape based on a pair of pa

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Case, Simon James. "A fuzzy method for expression classification of faces." Thesis, University of Bristol, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325907.

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MORGADO, WILSON LINS. "APPLYING RISK CLASSIFICATION METHOD IN CAR INSURANCE MARKET." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5932@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>A estimação do risco em seguros de automóveis representa um difícil problema de regressão. As dificuldades vão desde a utilização de um grande número de variáveis discretas como explicativas, até a distribuição particular dos ruídos e uma quantidade expressiva de categorias com valores nulos e valores discrepantes. Supondo que os problemas de estimação estejam relacionados com a classificação do risco adotada pelo mercado, este trabalho propõe um método de classificação alternativo. O método desenvolvido foi baseado na técn

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Pics’, N. A., V. I. Mokryi, R. F. Fedoriv, and O. V. Cehelnik. "Method of classification of integumentary elements of landscape." Thesis, Вид-во СумДУ, 2006. http://essuir.sumdu.edu.ua/handle/123456789/11765.

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Funai, Tomohiko. "Extensions of Nearest Shrunken Centroid Method for Classification." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2402.

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Stylometry assumes that the essence of the individual style of an author can be captured using a number of quantitative criteria, such as the relative frequencies of noncontextual words (e.g., or, the, and, etc.). Several statistical methodologies have been developed for authorship analysis. Jockers et al. (2009) utilize Nearest Shrunken Centroid (NSC) classification, a promising classification methodology in DNA microarray analysis for authorship analysis of the Book of Mormon. Schaalje et al. (2010) develop an extended NSC classification to remedy the problem of a missing author. Dabney (200

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Silva, Glauco Barbosa da. "Combining data mining techniques with multicriteria decision aid in classification problems with composition probabilistc of preferences in trichotomic procedure (CPP-TRI)." Niterói, 2017. https://app.uff.br/riuff/handle/1/4079.

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Submitted by Secretaria Pós de Produção (tpp@vm.uff.br) on 2017-07-27T19:24:17Z No. of bitstreams: 1 D2016 - Glauco Barbosa da Silva.pdf: 5776264 bytes, checksum: d50812d465487f52e8c02b7f636435ab (MD5)<br>Made available in DSpace on 2017-07-27T19:24:17Z (GMT). No. of bitstreams: 1 D2016 - Glauco Barbosa da Silva.pdf: 5776264 bytes, checksum: d50812d465487f52e8c02b7f636435ab (MD5)<br>Problem: From Modeling decision maker preferences, the Multicriteria Decision Aid (MCDA) is a field dedicated to the study of real-world decision-making problems that are, usually, too complex and not so well-st

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Tan, Mao. "A neural network method for generic edge feature classification." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0029/MQ62367.pdf.

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Wei, Jinglun. "Classification of Bone Cements Using Multinomial Logistic Regression Method." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/520.

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Bone cement surgery is a new technique widely used in medical field nowadays. In this thesis I analyze 48 bone cement types using their content of 20 elements. My goal is to ?find a method to classify new found bone cement sample into these 48 categories. Here I will use multinomial logistic regression method to see whether it works or not. Due to the lack of observations, I generate enough data by adding white noise in proper scales to the original data again and again, and then I get a data set of over 100 times as many points as the original one. Then I use purposeful variable selection met

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Goss, Ryan Gavin. "APIC: A method for automated pattern identification and classification." Doctoral thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27025.

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Machine Learning (ML) is a transformative technology at the forefront of many modern research endeavours. The technology is generating a tremendous amount of attention from researchers and practitioners, providing new approaches to solving complex classification and regression tasks. While concepts such as Deep Learning have existed for many years, the computational power for realising the utility of these algorithms in real-world applications has only recently become available. This dissertation investigated the efficacy of a novel, general method for deploying ML in a variety of complex task

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Eppe, Stefan. "Three contributions to the PROMETHEE II method." Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209033.

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PROMETHEE II is a widely used outranking method in the field of multi criteria decision aid (MCDA) method. The method outputs a ranking of a considered set of alternatives, based on the computation of net flow scores. <p>In this thesis, aggregating several published journal articles and conference papers, we propose three contributions that relate to the method: 1) Outranking methods are based on the pairwise comparison of all considered alternatives, yielding a quadratic time complexity for evaluating the net flow scores. We propose a method for reducing to a linear time complexity and show t

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Daura, Ashiru Sani. "A wavelet-based method for the classification of PCG signals." Thesis, University of Newcastle Upon Tyne, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244474.

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Burger, Christiaan. "A novel method of improving EEG signals for BCI classification." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95984.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Muscular dystrophy, spinal cord injury, or amyotrophic lateral sclerosis (ALS) are injuries and disorders that disrupts the neuromuscular channels of the human body thus prohibiting the brain from controlling the body. Brain computer interface (BCI) allows individuals to bypass the neuromuscular channels and interact with the environment using the brain. The system relies on the user manipulating his neural activity in order to control an external device. Electroencephalography (EEG) is a cheap, non-invasive, real time ac

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Wan, Fengkai. "Deep Learning Method used in Skin Lesions Segmentation and Classification." Thesis, KTH, Medicinsk teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233467.

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Malignant melanoma (MM) is a type of skin cancer that is associated with a very poor prognosis and can often lead to death. Early detection is crucial in order to administer the right treatment successfully but currently requires the expertise of a dermatologist. In the past years, studies have shown that automatic detection of MM is possible through computer vision and machine learning methods. Skin lesion segmentation and classification are the key methods in supporting automatic detection of different skin lesions. Compared with traditional computer vision as well as other machine learning

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Wood, Nicholas Linder. "A Novel Kernel-Based Classification Method using the Pythagorean Theorem." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462522255.

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Pan, Yi. "A Proposed Frequency-Based Feature Selection Method for Cancer Classification." TopSCHOLAR®, 2017. http://digitalcommons.wku.edu/theses/1954.

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Feature selection method is becoming an essential procedure in data preprocessing step. The feature selection problem can affect the efficiency and accuracy of classification models. Therefore, it also relates to whether a classification model can have a reliable performance. In this study, we compared an original feature selection method and a proposed frequency-based feature selection method with four classification models and three filter-based ranking techniques using a cancer dataset. The proposed method was implemented in WEKA which is an open source software. The performance is evaluate

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Kurujyibwami, Célestin. "Group classification of linear Schrödinger equations by the algebraic method." Licentiate thesis, Linköpings universitet, Matematiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-125136.

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This thesis is devoted to the group classification of linear Schrödinger equations. The study of Lie symmetries of such equations was initiated more than 40 years ago using the classical Lie infinitesimal method for specific types of real-valued potentials. In first papers on this subject, most attention was paid to dynamical transformations, which necessarily change the time and space variables. This is why phase translations were missed. Later, the study of Lie symmetries was extended to nonlinear Schrödinger equations. At the same time, the group classification problem for the class of line

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Cazzanti, Luca. "Generative models of similarity-based classification /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/5905.

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Μαστρογιάννης, Νικόλαος. "Μεθοδολογικό πλαίσιο υποστήριξης της εξόρυξης γνώσης από δεδομένα με την χρήση αρχών της πολυκριτήριας ανάλυσης αποφάσεων". Thesis, 2009. http://nemertes.lis.upatras.gr/jspui/handle/10889/2506.

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Η εξόρυξη γνώση από δεδομένα είναι μια νέα και δυναμική τεχνολογία που βοηθάει τις επιχειρήσεις να επικεντρωθούν στην σημαντική πληροφορία που βρίσκεται μέσα στις αποθήκες δεδομένων τους, αναζητώντας κρυμμένα πρότυπα και ανακαλύπτοντας πληροφορίες που οι ειδικοί μπορεί να χάσουν ή να παραβλέψουν. Τα τελευταία χρόνια έχει αναπτυχθεί πλήθος αλγορίθμων της εξόρυξης δεδομένων, οι οποίοι ακολουθούν διαφορετικές μεθοδολογικές προσεγγίσεις, ενώ ταυτόχρονα παρουσιάζουν σημαντική ποικιλία εφαρμογών. Η προσπάθεια ωστόσο για βελτιωμένους και αποδοτικότερους αλγορίθμους συνεχίζεται. Η παρούσα διδακτορ

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Chang, Hao-Chun, and 張浩鈞. "A Qualitative Multicriteria Evaluation Method with Effectiveness Measurement." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/64274641741814171963.

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碩士<br>華梵大學<br>工業管理學系碩士班<br>88<br>This study proposes a qualitative multicriteria evaluation method to evaluating qualitative decision problems with multiple qualitative criteria and multiple decision-makers/experts. In the proposed method, the criteria weights and performance values are measured by category and ordinal scale, the consensus weights and performance values for multiple decision-makers/experts are determined by majority rule. There are essentially two structural types of evaluation criteria: no hierarchical structure and hierarchical structure. From the related studies

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Sebastião, Rui Pedro Rodrigues. "Solving unstructured classification problems with multicriteria decision aiding." Master's thesis, 2011. http://hdl.handle.net/10216/61685.

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Sebastião, Rui Pedro Rodrigues. "Solving unstructured classification problems with multicriteria decision aiding." Dissertação, 2011. http://hdl.handle.net/10216/61685.

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Chou, Hsing-Fu, and 周信甫. "Application of Fuzzy Multicriteria Evaluation Method to Domestic Equity Funds Investment." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/30185977116664632351.

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碩士<br>華梵大學<br>工業工程與經營資訊學系碩士班<br>96<br>In recent years, mutual funds are very popular and become one way of investments and financial management. However, a busy investor usually could not make correct judgment in respect of fund selections and therefore resulting in lower investment outcome. Thus, it is very essential for investors to make good choices and evaluations to fund investments. This study selected the domestic equity funds from professional perspective to proceed research and analysis based on Fuzzy Multi-Criteria Decision Making (FMCDM). The brainstorming method was adopted to inte

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LinMin-Da and 林明達. "Exploring the Multicriteria Evaluation Index of Firm's Value by Qualitative Method ─Intellectual Capital Perspectives." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/34537435126969295197.

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碩士<br>崑山科技大學<br>企業管理研究所<br>94<br>Most of measures in the past to evaluate the performance of business were indicated by financial statement. With the arrival of the era of knowledge-driven economy, however, it couldn’t completely assess the whole true valuation of business in terms of financial statement which was the core on evaluated the tangible capital traditionally, will make a great deal of gaps between market price and book value for company. On weigh enterprise value, it seems to appears that non-financial index have offered more powerful direction on evaluate competitive advantage of

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Lan, Tzu-Chun, and 藍子鈞. "Multicriteria Decision Making Based on the TOPSIS Method and Similarity Measures Between Intuitionistic Fuzzy Sets." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/29321928922507566564.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>103<br>Multicriteria decision making based on intuitionistic fuzzy sets is an important research topic. In recent years, some methods have been presented for multicriteria decision making based on intuitionistic fuzzy sets. In this thesis, we propose a new similarity measure between intuitionistic fuzzy sets based on the centroid points of the transformed right-angled triangular fuzzy numbers and prove some properties of the proposed similarity measure between intuitionistic fuzzy values. Then, we propose a new multicriteria decision making method based on the TOPSIS

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Huang, Yu-hua, and 黃俞華. "Data Classification via Network Method." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/15835881768020796471.

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碩士<br>國立高雄大學<br>統計學研究所博士班<br>104<br>The results of classification of traditional data are frequently limited to the choice of the distance. We provide a new concept of converting the traditional data into a network, and then using the network clustering technology to obtain the result of classification. First, we extend information of each data and treat it as a node of the network. Second, use the multivariate two-sample test method to determine whether two nodes have a link between them. Finally, we cluster this network. The empirical results show that our method has a relatively stable clus

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AndyDon and 董俊展. "A Classification Method for Numerical Datasets." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/55367919849800535296.

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碩士<br>輔仁大學<br>資訊工程學系<br>89<br>A classification algorithm can predict the class of new instances based on the training data. Many classification algorithms work most naturally with nominal attributes. However, numerical data are very common in real-life applications. When all the attributes are numerical in the training data, statistics methods are natural techniques to consider. In this research, we first apply the technique of factor analysis in statistics to find the interdependence among the attributes. We then adopt the idea of the function decomposition to simplify the problem. Finally, w

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Lai, Jung-Yao, and 賴榮耀. "The Application of Fuzzy Multicriteria Decision Making Method on Master Production Scheduling Techniques for Assemble-To- Order Products." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/43962159750641134576.

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碩士<br>國立交通大學<br>資訊管理研究所<br>81<br>The primary objective of this study is to integrate data base system , expert system and fuzzy multicriteria decision making method to implement a master production scheduling techniques decision system(MPSTDS) for assemble-to-order(ATO) products. Automobiles and personal computers are examples of ATO products . The ATO company sells a wide variety of customized products requiring some customer interface regarding product specifications . Compe

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Bi-NaWu and 伍碧那. "A hybrid discretization method for classification algorithms." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/89127564223669943961.

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碩士<br>國立成功大學<br>資訊管理研究所<br>102<br>Discretization is one of the major approaches for processing continuous attributes for classifiers. Hybrid discretization sets the method for discretizing each continuous attribute individually. A previous study found that hybrid discretization method is a better approach to improve the performance of naïve Bayesian classifier than unified discretization. That approach determines the discretization method for each attribute based on whether accuracy can be improved or not. The objectives of this study is to develop a hybrid discretization method applicable for

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Wu, Ming-Chang, and 吳明昌. "OWA based Clustering method for classification problem." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/68953933170960741609.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>95<br>Information classification plays an important role in decision-making problems. As information technology advances, large amounts of information stored in database. Data preprocessing is necessary because some data is dirty. Many tasks are worked out in high complexity and dimensionality in classification problem. Therefore, we apply ordered weighted averaging (OWA) operator to fusion multi-attribute data into the aggregated values of single attribute, and cluster the aggregated values for classification tasks. The proposed method consists of four steps: (1)

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Wang, Chang-Wei, and 王常威. "A content-based XML document classification method." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/03399576694192114184.

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Su, Yun-Hsuan, and 蘇韻璇. "Brain MRI tissue classification using SGA method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/46039389813487651585.

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碩士<br>國立中興大學<br>電機工程學系所<br>103<br>In recent years, thanks to the advances of medical technology, brain disease is no longer a desperate end. Different diseases could affect gray-matter and white-matter change unpredictably, hence may cause brain lesion and brain degeneration differently. Therefore, how to segment the lesion efficiently and accurately is an important issue. Fortunately, it was due to thousands of non-intrusive inspections that doctors don''t have to cut through the skin and muscle to confirm the lesion location. The most important and widely used non-intrusive inspections is us

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Po-AnLin and 林柏安. "A Hybrid Classification Method for Conference Information." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/11565827412416413748.

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碩士<br>國立成功大學<br>資訊管理研究所<br>100<br>There are many researchers who want to realize the latest research topic and exchange information with others. They will surf the Internet for scholar conference information, and choose some of them to attend. Some websites have provided part of conference information, but most of them cannot help users find the information users really want to explore; besides, it is a hard work to filter the searched conference information by human. Hence, it is an important issue to help reseachers find out the suited conference information from the huge dataset to attend.

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