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Relevant bibliographies by topics / Fuzzy logic. Fuzzy sets. Fuzzy systems / Dissertations / Theses

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Dissertations / Theses on the topic 'Fuzzy logic. Fuzzy sets. Fuzzy systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Houchin, Scott J. "Pendulum : controlling an inverted pendulum using fuzzy logic /." Online version of thesis, 1991. http://hdl.handle.net/1850/11294.

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2

Talwanga, Matiki. "The principle of inclusion-exclusion and möbius function as counting techniques in finite fuzzy subsets." Thesis, Rhodes University, 2009. http://hdl.handle.net/10962/d1005227.

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The broad goal in this thesis is to enumerate elements and fuzzy subsets of a finite set enjoying some useful properties through the well-known counting technique of the principle of inclusion-exclusion. We consider the set of membership values to be finite and uniformly spaced in the real unit interval. Further we define an equivalence relation with regards to the cardinalities of fuzzy subsets providing the Möbius function and Möbius inversion in that context.

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3

Šeda, Martin. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223948.

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Master's thesis deals with the evaluation of suppliers of selected company using fuzzy logic. Designed fuzzy system allows firm to evaluate individual offers and serves as a support for decision-making.

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4

唐靜敏 and Ching-mun Tong. "Evolutionary design of fuzzy-logic controllers with minimal rule sets for manufacturing systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31243678.

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5

Tong, Ching-mun. "Evolutionary design of fuzzy-logic controllers with minimal rule sets for manufacturing systems /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25100130.

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6

Le, Xuqing. "Fire Detection Robot using Type-2 Fuzzy Logic Sensor Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32471.

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In this research work, an approach for fire detection and estimation robots is presented. The approach is based on type-2 fuzzy logic system that utilizes measured temperature and light intensity to detect fires of various intensities at different distances. Type-2 fuzzy logic system (T2 FLS) is known for not needing exact mathematic model and for its capability to handle more complicated uncertain situations compared with Type-1 fuzzy logic system (T1 FLS). Due to lack of expertise for new facilities, a new approach for training experts’ expertise and setting up T2 FLS parameters from pure da

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7

Gu, Ling. "Web Shopping Expert Systems Using New Interval Type-2 Fuzzy Reasoning." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_theses/15.

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Finding a product with high quality and reasonable price online is a difficult task due to the fuzzy nature of data and queries. In order to handle the fuzzy problem, a new type-2 fuzzy reasoning based decision support system, the Web Shopping Expert for online users is proposed. In the Web Shopping Expert, an interval type-2 fuzzy logic system is used and a fuzzy output can be obtained using the up-low limit technique, which offers an opportunity to directly employ all the rules and methods of the type-1 fuzzy sets onto the type-2 fuzzy sets. To achieve the best performance the fuzzy inferenc

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8

Peters, Barry. "Stable fuzzy logic controllers for uncertain dynamic systems." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/18223.

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9

Hu, Yanting. "Advanced control system for stand-alone diesel engine driven-permanent magnet generator sets." Thesis, De Montfort University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366632.

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10

Bouchereau, Vivianne. "An integrated systems approach to QFD." Thesis, University of South Wales, 2000. https://pure.southwales.ac.uk/en/studentthesis/an-integrated-systems-approach-to-qfd(3699183a-e87f-4c11-9c04-65e0a1da7aae).html.

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This thesis reviews Quality Function Deployment (QFD) and its relation with the Total Quality Management philosophy. In particular the thesis focuses on the inherent drawbacks of QFD and it investigates potential techniques and methods that could be integrated with QFD to overcome some of its problems. Fuzzy Logic/Fuzzy Sets and the Taguchi Method are identified as techniques and methods to be incorporated within the QFD process to provide a more consistent, quantitative and rigorous method to analyse subjective data in the QFD charts. Two approaches are developed that integrate Fuzzy Logic an

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11

Švik, Matěj. "Aplikace fuzzy logiky pro hodnocení kvality zákazníků." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224309.

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Master's thesis deals with the evaluation of costemers of selected company using fuzzy logic. Designed fuzzy system allows firm to evaluate individual costemers and serves as a support for decision-making.

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12

Balada, Matěj. "Využití prostředků umělé inteligence pro podporu rozhodování v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223600.

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This master’s thesis is focused on the issues of utilization of artificial intelligence resources for decision-making support in company and is focused on detection of the client’s solvency for the purposes of loan providing. Fuzzy logic, expert systems and analysis in MS Excel are used here.

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13

Wang, Liren. "An approach to neuro-fuzzy feedback control in statistical process control." Thesis, University of South Wales, 2001. https://pure.southwales.ac.uk/en/studentthesis/an-approach-to-neurofuzzy-feedback-control-in-statistical-process-control(7d9c736f-e85d-4873-a6bb-9bcea107d371).html.

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It is a difficult challenge to develop a feedback control system for Statistical Process Control (SPC) because there is no effective method that can be used to calculate the accurate magnitude of feedback control actions in traditional SPC. Suitable feedback adjustments are generated from the experiences of process engineers. This drawback means that the SPC technique can not be directly applied in an automatic system. This thesis is concerned with Fuzzy Sets and Fuzzy Logic applied to the uncertainty of relationships between the SPC (early stage) alarms and SPC implementation. Based on a numb

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14

Cavalcante, Patricia Lopes. "Fluxo de carga trifasico com modelagem de incertezas via função de pertinencia sinusoidal." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/262044.

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Orientador: Carlos Alberto Favarin Murari<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-15T17:14:22Z (GMT). No. of bitstreams: 1 Cavalcante_PatriciaLopes_M.pdf: 1174790 bytes, checksum: 78d8b398780924e7f52ce9c0e64a337f (MD5) Previous issue date: 2010<br>Resumo: Neste trabalho é proposta uma versão fuzzy de fluxo de carga trifásico desbalanceado para redes de distribuição de energia elétrica. As características peculiares destas redes foram consideradas para tornar a solução o mais direta

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15

Tang, Zongpei. "Selecting Optimal Residential Locations Using Fuzzy GIS Modeling." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5396/.

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Integrating decision analytical techniques in geographic information systems (GIS) can help remove the two primary obstacles in spatial decision making: inaccessibility to required geographic data and difficulties in synthesizing various criteria. I developed a GIS model to assist people seeking optimal residential locations. Fuzzy set theory was used to codify criteria for each factor used in evaluating residential locations, and weighted linear combination (WLC) was employed to simulate users' preferences in decision making. Three examples were used to demonstrate the applications in the stu

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16

Palavalasa, Swetha Rao. "Implementation of Constraint Propagation Tree for Question Answering Systems." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1796121021&sid=6&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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17

Coupland, Simon C. "Geometric fuzzy logic systems." Thesis, De Montfort University, 2006. http://hdl.handle.net/2086/10782.

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There has recently been a significant increase in academic interest in the field oftype-2 fuzzy sets and systems. Type-2 fuzzy systems offer the ability to model and reason with uncertain concepts. When faced with uncertainties type-2 fuzzy systems should, theoretically, give an increase in performance over type-l fuzzy systems. However, the computational complexity of generalised type-2 fuzzy systems is significantly higher than type-l systems. A direct consequence of this is that, prior to this thesis, generalised type-2 fuzzy logic has not yet been applied in a time critical domain, such as

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18

Palancioglu, Haci Mustafa. "Extracting Movement Patterns Using Fuzzy and Neuro-fuzzy Approaches." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/PalanciogluHM2003.pdf.

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19

GarcÃa, Z. Yohn E. "Fuzzy logic in process control: A new fuzzy logic controller and an improved fuzzy-internal model controller." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/2529.

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Two fuzzy controllers are presented. A fuzzy controller with intermediate variable designed for cascade control purposes is presented as the FCIV controller. An intermediate variable and a new set of fuzzy logic rules are added to a conventional Fuzzy Logic Controller (FLC) to build the Fuzzy Controller with Intermediate Variable (FCIV). The new controller was tested in the control of a nonlinear chemical process, and its performance was compared to several other controllers. The FCIV shows the best control performance regarding stability and robustness. The new controller also has an acceptab

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20

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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21

Dadone, Paolo. "Design Optimization of Fuzzy Logic Systems." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/27893.

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Fuzzy logic systems are widely used for control, system identification, and pattern recognition problems. In order to maximize their performance, it is often necessary to undertake a design optimization process in which the adjustable parameters defining a particular fuzzy system are tuned to maximize a given performance criterion. Some data to approximate are commonly available and yield what is called the supervised learning problem. In this problem we typically wish to minimize the sum of the squares of errors in approximating the data. We first introduce fuzzy logic systems and the superv

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22

Meyer, David, and Kurt Hornik. "Generalized and Customizable Sets in R." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2009. http://epub.wu.ac.at/1062/1/document.pdf.

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We present data structures and algorithms for sets and some generalizations thereof (fuzzy sets, multisets, and fuzzy multisets) available for R through the sets package. Fuzzy (multi-)sets are based on dynamically bound fuzzy logic families. Further extensions include user-definable iterators and matching functions. (author´s abstract)<br>Series: Research Report Series / Department of Statistics and Mathematics

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23

Hornik, Kurt, and David Meyer. "Generalized and Customizable Sets in R." American Statistical Association, 2009. http://epub.wu.ac.at/4002/1/sets.pdf.

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We present data structures and algorithms for sets and some generalizations thereof (fuzzy sets, multisets, and fuzzy multisets) available for R through the sets package. Fuzzy (multi-)sets are based on dynamically bound fuzzy logic families. Further extensions include user-definable iterators and matching functions. (authors' abstract)

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24

Li, Ying. "Probabilistic interpretations of fuzzy sets and systems." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/11619.

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25

Makamba, B. B. "Studies in fuzzy groups." Thesis, Rhodes University, 1993. http://hdl.handle.net/10962/d1005229.

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In this thesis we first extend the notion of fuzzy normality to the notion of normality of a fuzzy subgroup in another fuzzy group. This leads to the study of normal series of fuzzy subgroups, and this study includes solvable and nilpotent fuzzy groups, and the fuzzy version of the Jordan-Hõlder Theorem. Furthermore we use the notion of normality to study products and direct products of fuzzy subgroups. We present a notion of fuzzy isomorphism which enables us to state and prove the three well-known isomorphism theorems and the fact that the internal direct product of two normal fuzzy subgroup

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26

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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27

Lin, Yuetong. "MODULAR CONSTRUCTION OF FUZZY LOGIC CONTROL SYSTEMS." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/193845.

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This dissertation presents a novel approach to combining wavelet networks and multi-layer feedforward network for fuzzy logic control systems. Most of the existing methods focus on implementing the Takagi-Sugano fuzzy reasoning model and have demonstrated its effectiveness. However, these methods fail to keep the knowledge structure, which is critical in interpreting the learning process and providing insights to the working mechanism of the underlying systems. It is our intention here to continue the previous research by the PARCS group in this area by utilizing individual subnets to implemen

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28

Mathur, Garima. "Fuzzy logic control for infant-incubator systems." University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1153768682.

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29

Chiou, Fred Y. "User-interactive speech enhancement using fuzzy logic." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/14916.

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30

Cook, Brandon M. "Multi-Agent Control Using Fuzzy Logic." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447688633.

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31

Arnett, Timothy J. "Verification of Genetic Fuzzy Systems." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731645.

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32

Vicenová, Ivana. "Aplikace fuzzy logiky při hodnocení dodavatelů firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-224855.

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This diploma thesis deals with the design of fuzzy model for decision among suppliers of the metallurgical material for the firm VÚEZ, a.s. Levice. It describes methods and processes of a model creating. The goal is to make a decision-making system that helps a firm to make decisions among suppliers more effective that will be usable in real world and is based on firm’s requests.

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33

Aranibar, Luis Alfonso Quiroga. "Learning fuzzy logic from examples." Ohio : Ohio University, 1994. http://www.ohiolink.edu/etd/view.cgi?ohiou1176495652.

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34

Nukala, Ramesh Babu. "Neuro-fuzzy controllers for unstable systems." Thesis, Lancaster University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364362.

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35

Leitch, Donald Dewar. "A new genetic algorithm for the evolution of fuzzy sets." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318473.

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36

Ehtiawesh, Mohamed. "Investigations into new algorithms for self-organising fuzzy logic control using type-1 and type-2 fuzzy sets." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/17997/.

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The number of applications of intelligent control systems has grown significantly over the last few decades, and today they are used in various challenging industrial application domains, where they provide particularly useful solutions. The term „intelligent controllers‟ describes a field where control approaches are represented by mechanisms similar to those used by the human brain. These characteristics include, for example, learning, modification, adaption, effective working with high levels of uncertainty and coping with large amounts of data. Intelligent control systems are particularly

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37

Fung, Yun-hoi. "Linguistic fuzzy-logic control of autonomous vehicles /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19660583.

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38

Bell, Michael Ray. "Fuzzy logic control of uncertain industrial processes." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/18998.

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39

Alqahtani, Saeed Masaud H. "Cloud intrusion detection systems : fuzzy logic and classifications." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/45430/.

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Cloud Computing (CC), as defned by national Institute of Standards and Technology (NIST), is a new technology model for enabling convenient, on-demand network access to a shared pool of configurable computing resources such as networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service-provider interaction. CC is a fast growing field; yet, there are major concerns regarding the detection of security threats, which in turn have urged experts to explore solutions to improve its security performance through conventi

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40

Feng, Zhiqiang. "The application of fuzzy classification in geographical information science." Thesis, Lancaster University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310534.

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41

El-Deen, M. M. G. Naser. "Adaptive fuzzy logic control for solar buildings." Thesis, Northumbria University, 2002. http://nrl.northumbria.ac.uk/2084/.

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Significant progress has been made on maximising passive solar heating loads through the careful selection of glazing, orientation and internal mass within building spaces. Control of space heating in buildings of this type has become a complex problem. Additionally, and in common with most building control applications, there is a need to develop control solutions that permit simple and transparent set up and commissioning procedures. This work concerns the development and testing of an adaptive control method for space heating in buildings with significant solar input. A simulation model of

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42

馮潤開 and Yun-hoi Fung. "Linguistic fuzzy-logic control of autonomous vehicles." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B29812690.

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43

Dadone, Paolo. "Fuzzy Control of Flexible Manufacturing Systems." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36531.

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<p> Flexible manufacturing systems (FMS) are production systems consisting of identical multipurpose numerically controlled machines (workstations), automated material handling system, tools, load and unload stations, inspection stations, storage areas and a hierarchical control system. The latter has the task of coordinating and integrating all the components of the whole system for automatic operations. A particular characteristic of FMSs is their complexity along with the difficulties in building analytical models that capture the system in all its important aspects. Thus optimal con

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44

Baxter, Jeremy. "Fuzzy logic control of an automated guided vehicle." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5817/.

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This thesis describes the fuzzy logic based control system for an automated guided vehicle ( AGV ) designed to navigate from one position and orientation to another while avoiding obstacles. A vehicle with an onboard computer system and a beacon based location system has been used to provide experimental confirmation of the methods proposed during this research. A simulation package has been written and used to test control techniques designed for the vehicle. A series of navigation rules based upon the vehicle's current position relative to its goal produce a fuzzy fit vector, the entries in

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45

Soderstrom, David. "Fuzzy logic modeling and intelligent sliding mode control techniques for the individualization of theophylline therapy to pediatric patients." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/19097.

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46

Chan, Wing-kin Louis. "Uncertainty in economics and the application of fuzzy logic in contract laws." Click to view the E-thesis via HKUTO, 2003. http://sunzi.lib.hku.hk/hkuto/record/B42576891.

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47

Wang, Haibin. "Interval neutrosophic sets and logic theory and applications in computing /." unrestricted, 2005. http://etd.gsu.edu/theses/available/etd-11172005-131340/.

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Thesis (Ph. D.)--Georgia State University, 2005.<br>1 electronic text (119 p. : ill.) : digital, PDF file. Title from title screen. Rajshekhar Sunderraman, committee chair; Yan-Qing Zhang, Anu Bourgeois, Lifeng Ding, committee members. Description based on contents viewed Apr. 3, 2007. Includes bibliographical references (p. 112-119).

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48

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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49

Jaffal, Hussein, and Cheng Tao. "Multiple Attributes Group Decision Making by Type-2 Fuzzy Sets and Systems." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2659.

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We are living in a world full of uncertainty and ambiguity. We usually ask ourselves questions that we are uncertain about their answers. Is it going to rain tomorrow? What will be the exchange rate of euro next month? Why, where and how should I invest? Type-1 Fuzzy sets are characterized by the membership function whose value for a given element x is said to be the grade of membership having a value in the interval [0, 1]. In addition, type-1 fuzzy sets have limited capabilities to deal with uncertainty. In our thesis, we study another concept of a fuzzy description of uncertainty which is c

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50

Wang, Haibin. "Interval Neutrosophic Sets and Logic: Theory and Applications in Computing." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_diss/2.

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A neutrosophic set is a part of neutrosophy that studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. The neutrosophic set is a powerful general formal framework that has been recently proposed. However, the neutrosophic set needs to be specified from a technical point of view. Here, we define the set-theoretic operators on an instance of a neutrosophic set, and call it an Interval Neutrosophic Set (INS). We prove various properties of INS, which are connected to operations and relations over INS. We also introduce a new logic

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