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Dissertations / Theses on the topic 'Fuzzy logic regression analysis'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Beranová, Michaela. "Aspekty zásob v maloobchodě: modely přirozených úbytků zásob a ztratného." Doctoral thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-233730.

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The dissertation thesis deals with the problem of relevant volume of natural shrinkage and accidental losses of retail stock quota calculation. In frame of the dissertation thesis, factors affecting an extent of accidental shortage of inventories in retail business are investigated here. Then, possible approaches to a calculation of relevant volume of such a quota are recognized as well. By its scope, the dissertation thesis reacts on a problem that exists within the income taxes law since 1995, but any conceptual solution of this problem is still missing. This current problem that is felt esp

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2

Reynolds, Robert. "Gene Expression Data Analysis Using Fuzzy Logic." Fogler Library, University of Maine, 2001. http://www.library.umaine.edu/theses/pdf/REynoldsR2001.pdf.

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3

Chen, Carla Chia-Ming. "Bayesian methodology for genetics of complex diseases." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/43357/1/Carla_Chen_Thesis.pdf.

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Genetic research of complex diseases is a challenging, but exciting, area of research. The early development of the research was limited, however, until the completion of the Human Genome and HapMap projects, along with the reduction in the cost of genotyping, which paves the way for understanding the genetic composition of complex diseases. In this thesis, we focus on the statistical methods for two aspects of genetic research: phenotype definition for diseases with complex etiology and methods for identifying potentially associated Single Nucleotide Polymorphisms (SNPs) and SNP-SNP interacti

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4

Touzé, Patrick A. "Applications of fuzzy logic to mechanical reliability analysis." Thesis, Virginia Tech, 1993. http://hdl.handle.net/10919/41583.

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5

Touz'e, Patrick A. "Applications of fuzzy logic to mechanical reliability analysis /." This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-03142009-040345/.

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6

Dingerson, Lynne M. "Predicting Future Shoreline Condition Based on Land Use Trends, Logistic Regression, and Fuzzy Logic." W&M ScholarWorks, 2005. http://www.vims.edu/library/Theses/Dingerson05.pdf.

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7

Campbell, Jonathan G. "Fuzzy logic and neural network techniques in data analysis." Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342530.

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8

Atves, Colleen E. "A Fuzzy Logic Analysis of Sustainable Concrete Pile Foundations." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1282670915.

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9

Nderu, Lawrence. "Fuzzy logic pattern in text and image data analysis." Electronic Thesis or Diss., Paris 8, 2015. http://www.theses.fr/2015PA080084.

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La logique floue est aujourd'hui universellement admise comme discipline ayant fait ses preuves à l'intersection des mathématiques, de l'informatique, des sciences cognitives et de l'Intelligence Artificielle. En termes formels, la logique floue est une extension de la logique classique ayant pour but de mesurer la flexibilité du raisonnement humain, et permettant la modélisation des imperfections des données, en particulier, les deux imperfections les plus fréquentes : l'imprécision et l'incertitude. En outre, la logique floue ignore le principe du tiers exclu et celui de non-contradiction.No

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Nderu, Lawrence. "Fuzzy logic pattern in text and image data analysis." Thesis, Paris 8, 2015. http://www.theses.fr/2015PA080084.

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La logique floue est aujourd'hui universellement admise comme discipline ayant fait ses preuves à l'intersection des mathématiques, de l'informatique, des sciences cognitives et de l'Intelligence Artificielle. En termes formels, la logique floue est une extension de la logique classique ayant pour but de mesurer la flexibilité du raisonnement humain, et permettant la modélisation des imperfections des données, en particulier, les deux imperfections les plus fréquentes : l'imprécision et l'incertitude. En outre, la logique floue ignore le principe du tiers exclu et celui de non-contradiction.No

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11

Yamazaki, Tsukasa. "An improved algorithm for a self-organising controllerd its experimental analysis." Thesis, Queen Mary, University of London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320959.

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12

Lander, Rachel Jane. "Beam analysis for the safe and effective use of lasers." Thesis, University of the West of England, Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297874.

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13

Mann, George K. I. "Systematic analysis and design of fuzzy logic controllers for process control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0016/NQ47498.pdf.

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14

Fazel-Rezai, Reza. "Upper limb modelling, dynamic analysis, and force distribution using fuzzy logic." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0022/NQ51635.pdf.

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15

Conroy, Justin Anderson. "Analysis of adaptive neuro-fuzzy network structures." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/19684.

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16

Al-Humaidi, Hanouf M. "A fuzzy logic approach to model delays in construction projects." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1185539202.

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17

ALVINO, ALBERTO EDWIN ILDEFONSO. "APPLICATION OF FUZZY LOGIC TO THE MUHLBAUER MODEL FOR PIPELINE RISK ANALYSIS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4391@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>W. Kent Muhlbauer fez uma identificação detalhada de aproximadamente 300 diferentes condições que influenciam a avaliação do Risco em uma tubulação e propôs um sistema de pontuação que é conhecido mundialmente como o método de Muhlbauer. O método de Muhlbauer avalia as diversas variáveis que influenciam no Risco de dutovias mediante a atribuição de valores quantitativos. No entanto, sendo um método qualitativo, estas variáveis não podem ser informadas através de valores exatos. Estas variáveis podem ser tratadas como provenientes

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18

Shahidi, Parham. "Fuzzy Analysis of Speech Metrics to Estimate Crew Alertness." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/50436.

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A novel approach for estimating alertness levels from speech and tagging them with a reliability component has been developed. The Fatigue Quotient and Believability are both derived from the time series analysis of the speech signal in the communication between the operator and dispatch. Operator attention is the most important human factor element for safe transportation operations. In addition to substance abuse, illness and intoxication fatigue is a major contributing factor to the decrease of attention. The goal of this study was to develop a means to detect and estimate fatigue levels o

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19

Xiao, Bo. "Stability and performance analysis of polynomial fuzzy-model-based control systems and interval type-2 fuzzy logic systems." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/stability-and-performance-analysis-of-polynomial-fuzzymodelbased-control-systems-and-interval-type2-fuzzy-logic-systems(1a455ca8-f27d-49aa-ab4a-8ae697aeba17).html.

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The main research objective in this thesis is to investigate the stability and performance of the interval type-2 (IT2) polynomial-fuzzy-model-based (PFMB) control system. PFMB control scheme has been developed recently around 2009 and demonstrates more potential than the traditional Takagi-Sugeno fuzzy-model-based (T-S FMB) control approach to represent the nonlinearities in the plant. Meanwhile, the IT2 fuzzy logic has also been proposed to incorporate uncertainties of the nonlinear systems into the membership functions directly. Through the IT2 PFMB control design approach, both the nonline

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20

Konecny, Jan. "Isotone fuzzy Galois connections and their applications in formal concept analysis." Diss., Online access via UMI:, 2009.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.

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21

Sisman, Yilmaz Nuran Arzu. "A Temporal Neuro-fuzzy Approach For Time Series Analysis." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/570366/index.pdf.

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The subject of this thesis is to develop a temporal neuro-fuzzy system for fore- casting the future behavior of a multivariate time series data. The system has two components combined by means of a system interface. First, a rule extraction method is designed which is named Fuzzy MAR (Multivari- ate Auto-regression). The method produces the temporal relationships between each of the variables and past values of all variables in the multivariate time series system in the form of fuzzy rules. These rules may constitute the rule-base in a fuzzy expert system. Second, a temporal neuro-fuzzy system

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22

Plouffe, Jeffrey Stewart. "The development and validation of a fuzzy logic method for time-series extrapolation /." View online ; access limited to URI, 2005. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3186918.

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23

Ataeian, Seyed Mohsen, and Mehrnaz Jaberi Darbandi. "Analysis of Quality of Experience by applying Fuzzy logic : A study on response time." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5742.

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To be successful in today's competitive market, service providers should look at user's satisfaction as a critical key. In order to gain a better understanding of customers' expectations, a proper evaluations which considers intrinsic characteristics of perceived quality of service is needed. Due to the subjective nature of quality, the vagueness of human judgment and the uncertainty about the degree of users' linguistic satisfaction, fuzziness is associated with quality of experience. Considering the capability of Fuzzy logic in dealing with imprecision and qualitative kno

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Mkrtchyan, Lusine. "Alternative solutions to traditional approaches to risk analysis and decision making using fuzzy logic." Thesis, IMT Alti Studi Lucca, 2010. http://e-theses.imtlucca.it/29/1/Mkrtchyan_phdthesis.pdf.

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Fuzzy set theory (FST) and Fuzzy logic (FL) are one of the main components of soft computing which is a collection of techniques to handle hard problems in which the application of traditional approaches fails. The father of FST and FL stated that the dominant aim of SC is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness, and low solution cost. Since its establishment the theory of fuzzy sets and fuzzy logic became very popular and received much attention especially during the last decade being applied in many different fields. The wide use of fuzzy

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25

Che, Fidelis Ndeh. "Object-oriented analysis and design of computational intelligence systems." Thesis, City University London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245861.

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26

Šebelová, Dana. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-225128.

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Šebelová, D. The object of the diploma thesis is to analyze the suppliers of the company BioVendor – Laboratorní medicína a.s. Supplier evaluation is performed in MS Excel and MATLAB. The target is to determine the best suppliers of the company.

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27

Wang, Ming-hua. "A knowledge-based system approach for project management decision-making support." Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340476.

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28

IJsselmuiden, Joris [Verfasser], and R. [Akademischer Betreuer] Stiefelhagen. "Interaction Analysis in Smart Work Environments through Fuzzy Temporal Logic / Joris IJsselmuiden. Betreuer: R. Stiefelhagen." Karlsruhe : KIT-Bibliothek, 2014. http://d-nb.info/1058165275/34.

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29

Marinai, Luca. "Gas-path Diagnostics and Prognostics for Aero-engines Using Fuzzy Logic and Time Series Analysis." Thesis, Cranfield University, 2004. http://dspace.lib.cranfield.ac.uk/handle/1826/6730.

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Reducing the direct operating-costs is now crucial in order to ensure competitive advantages for airlines and manufacturers, and so effective advanced engine-condition monitoring methodologies are necessary. Hence gas-path diagnostics and prognostics methods are reviewed and the specifications for such effective tools deduced, together with their pertinent future prospects. First, the considerable value that a preliminary observability study adds to the diagnostics process was recognised. A secure procedure has been devised: it is capable of (i) the identification of the severity of correlatio

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Vakhovitch, D. "Methodical foundations of analysis of environmental safety with the use of the fuzzy logic theory." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/64870.

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Recently, ecological pollution and the related global worming have become one of the most important problems, which solving all the World countries’ social development is dependent on. Global climate changes which happen today may be one of the most important sources of the direct and indirect ecological risks for Ukraine’s Sustainable Development. The problem of achieving the Environmental Safety conditions requires appropriate coordinated actions of many subjects’ of the economic-productive activity.

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31

AlGhamdi, Ahmed S. "Analysis and solutions of congestion of vehicles using DTCA, FUZZY logic, and ITS on highways." Thesis, Curtin University, 2013. http://hdl.handle.net/20.500.11937/1451.

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Dynamic Traffic Cellular Automata (DTCA) method has been used to develop a mathematical model of vehicular traffic flow based on acceleration, velocity and position. This model is extended to investigate human driver behavior using Fuzzy Logic algorithms including; asymmetric auto driving, symmetric auto driving, and the driver behavior using ITS. Congestions have been created and solutions are offered thus leading to a better understanding traffic flow, aggregate fuel consumption, and emissions caused by clusters of vehicles. In simulation, ITS is used to provide inter-vehicular information l

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32

Magda, Michal. "Aplikace fuzzy logiky pro vyhodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444557.

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The diploma thesis deals with the evaluation of suppliers security systems to a selected company. After a thorough analysis of the company, a decision model was created based on the fuzzy logic in MS Excel and MATLAB environment. These models serve as a decision support and allow to evaluate individual offers.

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Koval, Stanislav. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223602.

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The object of the diploma thesis is to analyze the suppliers of the company STABILA ČR s. r. o. In the thesis are used methods that utilize the basic principles of fuzzy logic. Evaluation of the best suppliers for 2011 is provided in MS Excel and MATLAB. The target is to determine the best material suppliers of the year 2011.

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Mok, Tsz-kin, and 莫子建. "Modeling, analysis and control design for the UPFC with fuzzy theory and genetic algorithm application." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224969.

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35

Mikail, Suleiman. "A Statistical Analysis and Fuzzy Logic Approach in Assessing the Performance of Wind Turbine in Ohio." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1266607469.

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36

Lai, Sin Pin. "Furan measurement in transformer oil by UV-Vis spectroscopy using fuzzy logic approach." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/2342.

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An Ultraviolet to Visible (UV-Vis) spectroscopic analysis based on fuzzy logic approach has been developed for furan content measurement in transformer oil. Following the successful identification and quantification of furan derivatives in transformer oil by ASTM D5837 standard, the new approach is able to approximate the furan content more conveniently and economically. As furan concentration level would determine the absorption intensity in UV-Vis spectral range, the fuzzy logic software model developed would exploit this characteristic to aggregate the furans content level in transformer oi

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37

Ghaziani, Aydin. "A Fuzzy Delay Assessment Tool For Construction Projects." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614595/index.pdf.

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It is a known fact that construction projects do not often complete on time due to several reasons related with the unexpected changes in the project conditions, external factors or performance of project participants. Since construction projects are unique and limited information is available at the beginning of the projects, prediction of delays is a difficult task. However, if the delays can be assessed at the early stages, their impacts might be minimized, some of the delays can even be eliminated. This study introduces a delay assessment methodology which can be used to predict delays bot

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38

Lai, Sin Pin. "Furan measurement in transformer oil by UV-Vis spectroscopy using fuzzy logic approach." Curtin University of Technology, Department of Electrical and Computer Engineering, 2009. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=128452.

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An Ultraviolet to Visible (UV-Vis) spectroscopic analysis based on fuzzy logic approach has been developed for furan content measurement in transformer oil. Following the successful identification and quantification of furan derivatives in transformer oil by ASTM D5837 standard, the new approach is able to approximate the furan content more conveniently and economically. As furan concentration level would determine the absorption intensity in UV-Vis spectral range, the fuzzy logic software model developed would exploit this characteristic to aggregate the furans content level in transformer oi

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39

Chen, Chen. "Soft Computing-based Life-Cycle Cost Analysis Tools for Transportation Infrastructure Management." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28214.

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Increasing demands, shrinking financial and human resources, and increased infrastructure deterioration have made the task of maintaining the infrastructure systems more challenging than ever before. Life-cycle cost analysis (LCCA) is an important tool for transportation infrastructure management, which is used extensively to support project level decisions, and is increasingly being applied to enhance network level analysis. However, traditional LCCA tools cannot practically and effectively utilize expert knowledge and handle ambiguous uncertainties. The main objective of this dissertation w

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40

Ahmed, Sheikh. "PMU based PSS and SVC fuzzy controller design for angular stability analysis." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/20547.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Shelli Starrett<br>Variability in power systems is increasing due to pushing the system to limits for economic purposes, the inclusion of new energy sources like wind turbines and photovoltaic, and the introduction of new types of loads such as electric vehicle chargers. In this new environment, system monitoring and control must keep pace to insure system stability and reliability on a wide area scale. Phasor measurement unit technology implementation is growing and can be used to provide input signals to new types of

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41

Brož, Zdeněk. "Fuzzy hodnocení investic - brownfield redevelopment." Doctoral thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-233755.

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Tato disertační práce se zaměřuje na problematiku investování a podporu rozhodování pomocí moderních metod. Zejména pokud jde o analýzu, hodnocení a výběr tzv. brownfieldů pro jejich redevelopment (revitalizaci). Cílem této práce je navrhnout univerzální metodu, která usnadní rozhodovací proces. Proces rozhodování je v praxi komplikován též velkým počet relevantních parametrů ovlivňujících konečné rozhodnutí. Navržená metoda je založena na využití fuzzy logiky, modelování, statistické analýzy, shlukové analýzy, teorie grafů a na sofistikovaných metodách sběru a zpracování informací. Nová metod

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42

Lu, Qing. "SISO and MIMO self-organizing fuzzy logic control using a dynamic performance index table : design analysis and implementation." Thesis, University of Sheffield, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434546.

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43

Alsaqqa, Obada. "Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429772426.

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Miczka, Marian. "Vyhodnocení investic s využitím fuzzy logiky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318608.

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This thesis deals with the use of basic means of artificial intelligence, respectively fuzzy logic to evaluate the benefits of company's potential suppliers. There are mainly used principles of fuzzy logic in MATLAB, expert systems and analysis in MS Excel respectively. VBA development environment.

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Ozdemir, Mustafa. "A Probabilistic Schedule Delay Analysis In Construction Projects By Using Fuzzy Logic Incorporated With Relative Importance Index (rii) Method." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612169/index.pdf.

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The aim of this thesis is to propose a decision support tool for contractors before the bidding stage to quantify the probability of schedule delay in construction projects by using fuzzy logic incorporated with relative importance index (RII) method. Eighty three (83) different schedule delay factors were identified through detailed literature review and interview with experts from a leading Turkish construction company, then categorized into nine (9) groups and visualized by utilizing Ishikawa (Fish Bone) Diagrams. The relative importances of schedule delay factors were quantified by relativ

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Deus, Raquel Margarida Viana Faria de. "GIS-BASED MEASUREMENT, ANALYSIS AND MODELLING OF LAND-USE AND LAND-COVER CHANGE IN COASTAL AREAS. THE CASE OF THE ALGARVE, PORTUGAL." Doctoral thesis, 2015. http://hdl.handle.net/10362/16262.

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47

Chang, Shih-Da, and 張世達. "Fuzzy Logic System Analysis and Applications." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/53727799037537521001.

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48

Cai, Hao Xu, and 蔡皓旭. "Interval regression analysis with fuzzy data." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/48136091858014961077.

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碩士<br>國立政治大學<br>應用數學系<br>104<br>Objective: This study concerns how to develop effective fuzzy regression models. In the literature, little is addressed on how to evaluate the effectiveness of fuzzy regression models developed with different regression methods. We consider this issue in this work and present a framework for such evaluation. Method: We consider fuzzy regression models developed with different regression approaches. A method to evaluate the developed models is proposed. We then show that the proposed method possesses desirable mathematical properties and it is applied to compare

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Ko, Cheng Hsiu, and 柯政秀. "On Cluster-Wise Fuzzy Regression Analysis." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/42995305129031859293.

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碩士<br>中原大學<br>應用數學研究所<br>82<br>Since Tanaka et al. proposed a study in linear regression analysis with fuzzy model, fuzzy regression analysis has been widely studied and applied in a variety of substantive areas. We know that the regression analysis in the case of heterogeneity of observations are commonly presented in practice. In this paper, the main goal is to apply fuzzy clustering techniques to fuzzy regression analysis. The fuzzy clustering is used to overcome the heterogeneous proble

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Chen, Chien Hung, and 陳建宏. "Fuzzy Regression Analysis and Application of Interval Fuzzy Random Variables." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/03996291397162071325.

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碩士<br>國立政治大學<br>應用數學研究所<br>97<br>The aim of this paper is to discuss the linear correspondance between two interval fuzzy random variables. We construct the regression equations of the upper and lower bounds of some interval fuzzy random variables, respectively, by the least squares. The upper and lower bounds of the estimated interval fuzzy random variables are derived by the regression equations of upper and lower bounds, respectively. The collected upper and lower bounds are all crisp data, not fuzzy ones. In this paper, the interval fuzzy random variables discussed are constructed by crisp

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