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Dissertations / Theses on the topic 'Fuzzy Rule-based Systems'

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Published: 4 June 2021

Last updated: 26 July 2025

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1

Baaj, Ismaïl. "Explainability of possibilistic and fuzzy rule-based systems." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS021.

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Aujourd'hui, les progrès de l'Intelligence Artificielle (IA) ont conduit à l'émergence de systèmes capables d'automatiser des processus complexes, en utilisant des modèles qui peuvent être difficiles à comprendre par les humains. Lorsque les humains utilisent ces systèmes d'IA, il est bien connu qu'ils veulent comprendre leurs comportements et leurs actions, car ils ont davantage confiance dans les systèmes qui peuvent expliquer leurs choix, leurs hypothèses et leurs raisonnements. La capacité d'explication des systèmes d'IA est devenue une exigence des utilisateurs, en particulier dans les en

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2

Cruz, Anderson Paiva. "On Fuzzy Implication Classes - Towards Extensions of Fuzzy Rule-Based Systems." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18684.

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Made available in DSpace on 2015-03-03T15:47:46Z (GMT). No. of bitstreams: 1 AndersonPC_DISSERT.pdf: 1402040 bytes, checksum: 960b15bc1392a94fb7ba8ba980e3a0b4 (MD5) Previous issue date: 2012-12-20<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>Atualmente, h? diferentes defini??es de implica??es fuzzy aceitas na literatura. Do ponto de vista te?rico, esta falta de consenso demonstra que h? discord?ncias sobre o real significado de "implica??o l?gica" nos contextos Booleano e fuzzy. Do ponto de vista pr?tico, isso gera d?vidas a respeito de quais "operadores de implica

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3

Carse, Brian. "Artificial evolution of fuzzy and temporal rule based systems." Thesis, University of the West of England, Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267551.

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4

Karmakar, Gour Chandra 1970. "An integrated fuzzy rule-based image segmentation framework." Monash University, Gippsland School of Computing and Information Technology, 2002. http://arrow.monash.edu.au/hdl/1959.1/8752.

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5

Moon, Myung Soo. "Rule-Based Approaches for Controlling on Mode Dynamic Systems." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30684.

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This dissertation presents new fuzzy logic techniques for designing control systems for a wide class of complex systems. The methods are developed in detail for a crane system which contains one rigid-body and one oscillation mode. The crane problem is to transfer the rigid body a given distance such that the pendulation of the oscillation mode is regulated at the final time using a single control input. The investigations include in-depth studies of the time-optimal crane control problem as an integral part of the work. The main contributions of this study are: (1) Development of rule-based

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6

Vetcha, Sarat Babu. "Fault diagnosis in pumps by unsupervised neural networks." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300604.

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7

Yaakob, Abdul Malek Bin. "Multi criteria decision making methodology for fuzzy rule based systems and networks using TOPSIS." Thesis, University of Portsmouth, 2017. https://researchportal.port.ac.uk/portal/en/theses/multi-criteria-decision-making-methodology-for-fuzzy-rule-based-systems-and-networks-using-topsis(8efb475a-4f98-4d5c-846d-f01b01328dda).html.

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Fuzzy systems and networks are vital within the armoury of fuzzy tools and applicable to real life decision making environments. Three types of fuzzy systems introduced in literatures which are systems with single rule base, systems with multiple rule bases and system with networked rule bases. This research introduces novel extension of the Technique of Ordering of Preference by Similarity to Ideal Solution (TOPSIS) methods and uses fuzzy systems and networks to solve multi-criteria decision making problems where both benefit and cost are presented as subsystems. In conjunction, the implement

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8

Klapil, Ondřej. "Fuzzy systémy s netradičními antecedenty fuzzy pravidel." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-220884.

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The aim of this work is to introduce a new type of fuzzy system AnYa. This system, unlike the classical fuzzy systems Takagi-Sugeno and Mamdani, uses a type of antecendent based on real data distribution. As part of the work there will be mentioned system programmed and its functionality will be verified on testing data.

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9

Arthur, Gerald L. Gong Yang. "Implementation of a fuzzy rule-based decision support system for the immunohistochemical diagnosis of small B-cell lymphomas." Diss., Columbia, Mo. : University of Missouri-Columbia, 2009. http://hdl.handle.net/10355/6569.

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Thesis (M.S.)--University of Missouri-Columbia, 2009.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Thesis advisor: Yang Gong. "May 2009" Includes bibliographical references.

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Karimov, Azar. "Office Rent Variation In Istanbul Cbd: An Application Of Mamdani And Tsk-type Fuzzy Rule Based System." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612322/index.pdf.

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Over the past decade, fuzzy systems have gained remarkable acceptance in many fields including control and automation, pattern recognition, medical diagnosis and forecasting. The fuzzy system application has also been accepted as a promising approach to dealing with uncertainty in real estate valuation analysis. This is mainly due to the necessity of coping with a large number of qualitative and quantitative variables that affect the value of a real property. The appraisers use a great deal of judgment to identify both the characteristics that contribute to property values and the relationsh

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Ercan, Ismail. "A Fuzzy Based Decision Support System For Locational Suitability Of Settlements." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607017/index.pdf.

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Spatial Decision Making as a branch of decision making science deals with geographically related data in order to achieve complex spatial decision problems. Fuzzy set theory is one of the methods that can be used to come up with these types of problems. On the other hand, Geographical Information Systems (GIS) is one of the most powerful tools that we can use to accomplish spatial decision problems. Selection of the suitable site or land-use for the real estate is also a spatial decision making problem. When we consider the initial dynamics of the suitably located property from the point of vi

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Sanli, Ozgur. "Rule-based In-network Processing For Event-driven Applications In Wireless Sensor Networks." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613389/index.pdf.

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Wireless sensor networks are application-specific networks that necessitate the development of specific network and information processing architectures that can meet the requirements of the applications involved. The most important challenge related to wireless sensor networks is the limited energy and computational resources of the battery powered sensor nodes. Although the central processing of information produces the most accurate results, it is not an energy-efficient method because it requires a continuous flow of raw sensor readings over the network. As communication operations are the

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Crisp, Jennifer J. "Asset Management in Electricity Transmission Enterprises: Factors that affect Asset Management Policies and Practices of Electricity Transmission Enterprises and their Impact on Performance." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15884/1/Jennifer_Crisp_Thesis.pdf.

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This thesis draws on techniques from Management Science and Artificial Intelligence to explore organisational aspects of asset management in electricity transmission enterprises. In this research, factors that influence policies and practices of asset management within electricity transmission enterprises have been identified, in order to examine their interaction and how they impact the policies, practices and performance of transmission businesses. It has been found that, while there is extensive literature on the economics of transmission regulation and pricing, there is little published

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Crisp, Jennifer J. "Asset Management in Electricity Transmission Enterprises: Factors that affect Asset Management Policies and Practices of Electricity Transmission Enterprises and their Impact on Performance." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15884/.

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This thesis draws on techniques from Management Science and Artificial Intelligence to explore organisational aspects of asset management in electricity transmission enterprises. In this research, factors that influence policies and practices of asset management within electricity transmission enterprises have been identified, in order to examine their interaction and how they impact the policies, practices and performance of transmission businesses. It has been found that, while there is extensive literature on the economics of transmission regulation and pricing, there is little published

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Crisp, Jennifer J. "Asset Management in Electricity Transmission Utilities: Investigation into Factors Affecting and their Impact on the Network." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/676/1/thesis_new.pdf.

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This thesis draws on techniques from Management Science and Artificial Intelligence to explore asset management in electricity transmission enterprises. In this research, factors that influence policies and practices of asset management within electricity transmission enterprises have been identified, in order to examine their interaction and how they impact the policies, practices and performance of transmission businesses. It has been found that, while there is extensive literature on the economics of transmission regulation and pricing, there is little published research linking the engin

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Lopes, Mariana Vieira Ribeiro. "Tratamento de imprecisão na geração de árvores de decisão." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8954.

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Submitted by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:11Z No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:33Z (GMT) No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:39Z (GMT) No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Made available in DSpace

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Saleh, Ali Ali Emran. "Development of Machine Learning Techniques for Diabetic Retinopathy Risk Estimation." Doctoral thesis, Universitat Rovira i Virgili, 2020. http://hdl.handle.net/10803/670493.

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La retinopatia diabètica (DR) és una malaltia crònica. És una de les principals complicacions de diabetis i una causa essencial de pèrdua de visió entre les persones que pateixen diabetis. Els pacients diabètics han de ser analitzats periòdicament per tal de detectar signes de desenvolupament de la retinopatia en una fase inicial. El cribratge precoç i freqüent disminueix el risc de pèrdua de visió i minimitza la càrrega als centres assistencials. El nombre dels pacients diabètics està en augment i creixements ràpids, de manera que el fa difícil que consumeix recursos per realitzar un c

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Polat, Sener. "Development Of A Fuzzy Rule Based Remedial Priority Ranking System For Contaminated Sites." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611384/index.pdf.

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Evaluation of contaminated sites based on human health and environmental hazards is an essential task for the proper management of the contaminated sites. A large number of contaminated sites have been waiting for remediation all over the World. However, contaminated site remediation is generally a difficult, time consuming and very expensive process. Ranking systems for contaminated sites are useful tools to determine the remedial priority and to manage the available remediation budget in the most efficient way before the costly remedial actions are taken. To be able to have a reliable ranki

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Keneni, Blen M. Keneni. "Evolving Rule Based Explainable Artificial Intelligence for Decision Support System of Unmanned Aerial Vehicles." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525094091882295.

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Mounce, Stephen Robert. "A hybrid neural network fuzzy rule-based system applied to leak detection in water pipeline distribution networks." Thesis, University of Bradford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.695062.

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Mohsin, Farrukh. "A web based decision support system for status assessment in advanced parkinson." Thesis, Högskolan Dalarna, Datateknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:du-2483.

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The purpose of this work is to develop a web based decision support system, based onfuzzy logic, to assess the motor state of Parkinson patients on their performance in onscreenmotor tests in a test battery on a hand computer. A set of well defined rules, basedon an expert’s knowledge, were made to diagnose the current state of the patient. At theend of a period, an overall score is calculated which represents the overall state of thepatient during the period. Acceptability of the rules is based on the absolute differencebetween patient’s own assessment of his condition and the diagnosed state

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Pakosch, Sabine [Verfasser]. "Development of a fuzzy rule based expert system for flood forecasts within meso-scale Upper Main Basin / Sabine Pakosch." Aachen : Shaker, 2011. http://d-nb.info/1069049638/34.

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Ahmed, Mobyen Uddin. "A case-based multi-modal clinical system for stress management." Licentiate thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-8910.

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<p>A difficult issue in stress management is to use biomedical sensor signal in the diagnosis and treatment of stress. Clinicians often make their diagnosis and decision based on manual inspection of physiological signals such as, ECG, heart rate, finger temperature etc. However, the complexity associated with manual analysis and interpretation of the signals makes it difficult even for experienced clinicians. Today the diagnosis and decision is largely dependent on how experienced the clinician is interpreting the measurements. A computer-aided decision support system for diagnosis and treat

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Yadekar, Yaser. "A framework to manage uncertainties in cloud manufacturing environment." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/11776.

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This research project aims to develop a framework to manage uncertainty in cloud manufacturing for small and medium enterprises (SMEs). The framework includes a cloud manufacturing taxonomy; guidance to deal with uncertainty in cloud manufacturing, by providing a process to identify uncertainties; a detailed step-by-step approach to managing the uncertainties; a list of uncertainties; and response strategies to security and privacy uncertainties in cloud manufacturing. Additionally, an online assessment tool has been developed to implement the uncertainty management framework into a real life

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Almejalli, Khaled A. "Intelligent Real-Time Decision Support Systems for Road Traffic Management. Multi-agent based Fuzzy Neural Networks with a GA learning approach in managing control actions of road traffic centres." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4264.

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The selection of the most appropriate traffic control actions to solve non-recurrent traffic congestion is a complex task which requires significant expert knowledge and experience. In this thesis we develop and investigate the application of an intelligent traffic control decision support system for road traffic management to assist the human operator to identify the most suitable control actions in order to deal with non-recurrent and non-predictable traffic congestion in a real-time situation. Our intelligent system employs a Fuzzy Neural Networks (FNN) Tool that combines the capabilities o

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Pakosch, Sabine [Verfasser], Markus [Akademischer Betreuer] Disse, and András [Akademischer Betreuer] Bárdossy. "Development of a fuzzy rule based expert system for flood forecasts within the meso-scale Upper Main basin / Sabine Pakosch. Universität der Bundeswehr München, Fakultät für Bauingenieur- und Vermessungswesen. Gutachter: András Bárdossy. Betreuer: Markus Disse." Neubiberg : Universitätsbibliothek der Universität der Bundeswehr, 2011. http://d-nb.info/1015503500/34.

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Corr?a, Andreiwid Sheffer. "Metodologia para aferi??o do n?vel de maturidade associado ? interoperabilidade t?cnica nas a??es de Governo Eletr?nico." Pontif?cia Universidade Cat?lica de Campinas, 2012. http://tede.bibliotecadigital.puc-campinas.edu.br:8080/jspui/handle/tede/525.

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Made available in DSpace on 2016-04-04T18:31:32Z (GMT). No. of bitstreams: 1 Andreiwid Sheffer Correa.pdf: 4501821 bytes, checksum: 3d9f7fecc118ff0dc70b11ea481d5e67 (MD5) Previous issue date: 2012-11-23<br>The unstructured and unplanned implementation of technological solutions leads to wastage of resources and imposes itself as a barrier to achieving the potential benefits of information technologies and communication. The problem increases when managers who operate these technologies are part of the public administration, as structural issues make this scenario open for merely temporary,

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Liu, Chun-Lin, and 劉俊麟. "Inconsistency Resolution and Rule Insertion of Fuzzy Rule-Based Systems." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/82933815705848511659.

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碩士<br>國立台灣工業技術學院<br>電子工程技術研究所<br>85<br>In this paper, a fuzzy rule inconsistency resolution and insertion method is proposed on a fuzzy neural network, named Knowledge-Based Neural Network with Trapezoid Fuzzy Set inputs (KBNN/TFS). To facilitate the processing of fuzzy information, LR-fuzzy interval is employed. Necessity support and possibility support (named support pair) are applied to detect and remove inconsistency. In addition to the support pair, the concept of initial learnin

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Chang, Yu-chaun, and 張昱銓. "New Fuzzy Interpolative Reasoning Methods for Sparse Fuzzy Rule-Based Systems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/2m6g6n.

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博士<br>國立臺灣科技大學<br>資訊工程系<br>100<br>Fuzzy interpolative reasoning is an important research topic for sparse fuzzy rule-based systems. It not only can overcome the drawback of sparse fuzzy rule-based systems, but also can help to reduce the complexity of large fuzzy rule bases for fuzzy rule-based systems. In this dissertation, we present five new fuzzy interpolative reasoning methods for sparse fuzzy rule-based systems based on type-1 fuzzy sets and interval type-2 fuzzy sets, respectively. In the first method of our dissertation, we present a new fuzzy interpolative reasoning method for sparse

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"A rule-based drawing robot." 1999. http://library.cuhk.edu.hk/record=b5890081.

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by Tang Kai Hung.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.<br>Includes bibliographical references.<br>Abstracts in English and Chinese.<br>Acknowledgements --- p.vi<br>Abstract --- p.1<br>Chapter 1 --- Introduction<br>Chapter 1.1 --- Motivation --- p.3<br>Chapter 1.2 --- Objective --- p.7<br>Chapter 1.3 --- Outline --- p.9<br>Chapter 2 --- Color Identification<br>Chapter 2.1 --- Grabbing --- p.11<br>Chapter 2.2 --- Digital Image Representation --- p.13<br>Chapter 2.3 --- Color Segmentation --- p.15<br>Chapter 2.3.1 --- Fuzzy Rule-Based Method --- p.15<br>Chapter 2.3

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Adam, Stenly Ibrahim, and Stenly Ibrahim Adam. "New Methods for Weighted Fuzzy Interpolated Reasoning and Adaptive Fuzzy Interpolation for Sparse Fuzzy Rule-Based Systems." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/76982182357165874513.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>105<br>Fuzzy interpolative reasoning is a very important research topic in sparse fuzzy rule-based systems. In this thesis, we propose two new fuzzy interpolative reasoning methods for sparse fuzzy rule-based systems. In the first method, we propose a new transformation-based weighted fuzzy interpolative reasoning method based on the ranking values of polygonal fuzzy sets and the proposed scale and move transformation techniques. The proposed weighted fuzzy interpolative reasoning method is based on the multiple fuzzy rules and multiple antecedent variables fuzzy int

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Sahoo, Jyotiprakash, and Pushpak Pati. "Implementation of genetic algorithm based fuzzy logic controller with automatic rule extraction in FPGA." Thesis, 2013. http://ethesis.nitrkl.ac.in/5097/1/109EI0088.pdf.

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A number of fuzzy logic controllers are being designed till now to replace complex, non-linear and huge controlling equipment in numerous industrial sectors. But the designing of these controllers requires thorough knowledge about the controlled process. For this purpose a highly experienced experts are required, which is not feasible all the time. Most of these processes are non-linear and depend on large number of parameters. Thus mathematical representation of these systems is an arduous line of work. This project addresses these problems by proposing using of genetic algorithm based Fuzzy

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Wu, Meng. "Fuzzy-Rule-Based Failure Detection and Early Warning System for Lithium-ion Battery." 2013. http://hdl.handle.net/1805/3522.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Lithium-ion battery is one kind of rechargeable battery, and also renewable, sustainable and portable. With the merits of high density, slow loss of charge when spare and no memory effect, lithium-ion battery is widely used in portable electronics and hybrid vehicles. Apart from its advantages, safety is a major concern for Lithium-ion batteries due to devastating incidents with laptop and cell phone batteries. Overcharge and over-discharge are two of the most common electrical abuses a lithium-ion battery suffers. In this thesis, a

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Boesack, Craig D. "On the analysis and design of genetic fuzzy controllers : An application to automatic generation control of large interconnected power systems using genetic fuzzy rule based systems." Thesis, 2013. http://hdl.handle.net/10539/12827.

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Frequency Control of large interconnected power systems is governed by means of Automatic Generation Control (AGC), which regulates the system frequency and tie line power interchange at its nominal parameter set points. Conventional approaches to AGC controller design is centered around the Proportional, Integral and Derivative (PID) controller structures, which have found widespread application within industry. However, the dynamic changes experienced throughout the life cycle of power systems have many contributing factors, in part attributed to unknown knowledge of system behavior,

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Yuan, Xin. "Multi-approaches to achieve an advanced cognitive agent in a new type of parallel processing computer." Thesis, 2020. http://hdl.handle.net/2440/130741.

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In this work, we addressed the problem of developing an agent-based artificial general intelligence that can be implemented in compact and power-efficient electronic hardware. We proposed an approach intended to show the feasibility of using this conceptual hardware-based architecture to replicate simple cognitive behaviours. This research started with surveys on cognitive behaviours and their decision-making architectures and compared them with a production rule-based parallel processing computation architecture. In order to demonstrate their potential, a sample case study of the homing behav

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Fu, Shih-Hsi, and 傅仕熙. "An Incremental Fuzzy Rule-based Classification System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/35c54n.

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碩士<br>中原大學<br>資訊工程研究所<br>91<br>In this paper, we propose an incremental fuzzy rule-based classification system. The main objective is to generate an on-line, dynamic, incremental classification system. A method for automatic construction of an incremental fuzzy rule-based classification system from numerical data using the Simple Fuzzy Grid Method and the information gain of the Classification and Regression Tree (CART) is presented. The Simple Fuzzy Grid Method is developed for an initial fuzzy rule-based classification system from training patterns. When incremental data input, exploiting ce

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Bolloju, Narasimha. "A Fuzzy Rule-based decision support system environment." Thesis, 1991. http://hdl.handle.net/2009/1053.

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Cho, Cheng-Ming, and 卓正民. "Fuzzy Rule-Based Handwritten Chinese Character Recognition System." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/15293821733202088575.

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碩士<br>大同大學<br>電機工程研究所<br>85<br>The goal of this thesis is to develop a handwritten Chinese character recognition system based on the fuzzy logic theory. Because of the fact that fuzzy theory is found to be naturally effective for any human-like cognition systems and can deal with noisy and imprecise information effectively, it can be applied to pattern or handwritten character systems with vagueness and uncertainty. The architecture of the developed system is simpler than traditional methods and is robust against vagueness. At first, we introduce how to describe the characteristics of chara

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Liang, Wen-Yun, and 梁文運. "An online adjustable Fuzzy Rule-based Classification System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/98283918378745316180.

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碩士<br>中原大學<br>資訊工程研究所<br>92<br>In this paper, we focus on the numerical data that contains N samples, has M attributes, and is divided into c class, to construct a Fuzzy Rule-based Classifier System that will dynamically change its rule according to different data. We use grid partition and choose triangle and trapezoidal as Membership Function. In each rules, we record the distribution and the data center of every class. The distribution of every class is used to decide whether the data need splitting or not; the data center of every class is used to decide how to split. When we use grid part

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Ko, Yuan-Kai, and 柯元凱. "New Fuzzy Interpolative Reasoning Methods for Sparse Fuzzy Rule-Based System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/46036899751346866780.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>96<br>In sparse fuzzy rule-based systems, the fuzzy rule bases usually are incomplete. In this situation, the system may not properly perform fuzzy reasoning to get reasonable consequences. In order to overcome the drawback of sparse fuzzy rule-based systems, there is an increasing demand to develop fuzzy interpolative reasoning techniques in sparse fuzzy rule-based systems. In this paper, we present a new fuzzy interpola¬tive reasoning method via cutting and transformation techniques for sparse fuzzy rule-based systems. It can produce more reasonable results than th

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Kun-Te, Li. "Fuzzy Rule-Based Human Actions Recognition for Home Care System." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2007200523172100.

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Huang, Yung-Fu, and 黃永福. "Construct a Rule-Based Fuzzy Expert System for Tailoring Guideline." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/4h8jp6.

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碩士<br>國立中央大學<br>資訊管理研究所<br>96<br>The software project’s processes and the management is not immutable. When faced with internal and external changes in some, such as the development of new products, or different form of project or changes in business strategy, the original standard operating procedures will face corresponding to the change. So many organizations will adjust the tailoring guideline. But in fact develop and apply criteria require some adjustment in the accumulation of experience on. This study attempts to establish a tailoring framework will be divided into tailoring factors ca

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Li, Kun-Te, and 李冠德. "Fuzzy Rule-Based Human Actions Recognition for Home Care System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/00750792438468502359.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>93<br>Recognition of human activities has become an interesting research topic in computer vision, with a wide range of applications in virtual reality, surveillance systems, human-computer interface, human motion analysis and multimedia compression, etc. Recognition of human activities mainly involves two aspects: acquirement of human motion information and representation of human activities. The difficulties of human information acquirement are to extract human body information and characteristics from the image sequence. The challenge of human activities represen

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Feng, Hsiao-Tien. "Human Postures Recognition by Self-learning Adaptive Fuzzy-Rule Based Classifier System." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-3007200713095700.

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Feng, Hsiao-Tien, and 馮孝天. "Human Postures Recognition by Self-learning Adaptive Fuzzy-Rule Based Classifier System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/67314005444305168135.

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碩士<br>臺灣大學<br>電機工程學研究所<br>95<br>Intelligent video surveillance system is discussed for years and applied in many areas, like home care systems, security in the public place and so on. Due to this technique development, it can lower down the product cost and decrease the error judgment by human. In this thesis, we will focus on the home care systems, it means that we hope to establish a system can analysis the human activities automatically. As the growth of the elderly, more and more people can not take care of their parents or the elderly all the time. It manes that we want to build a system

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Huang, Chiung-Wei, and 黃瓊緯. "A Fuzzy Rule-based System for the Radical Extraction on Handwritten Chinese Characters." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/44008925819285204256.

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碩士<br>國立臺灣科技大學<br>工程技術研究所<br>82<br>In this thesis, a fuzzy rule-based system for extracting radicals as the preclassification information for handwritten Chinese character recognition (HCCR) is proposed. Since the writings of handwritten Chinese characters vary a lot, we adopt fuzzy set theory to deal with the recognition of these fuzzy in nature patterns. Based on the structure of Chinese characters, the primitive but important features, i.e., strokes, are treated as

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Yi-YingWang and 王怡穎. "Fuzzy Rule-based System for Automatic Nerve Fiber Segmentation from Microscope Image Sequence." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/21727025189045799011.

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博士<br>國立成功大學<br>資訊工程學系碩博士班<br>98<br>The construction of three-dimensional (3D) nerve fiber is an essential task in various neurological studies. This thesis presents a new system for constructing 3D nerve fibers which includes the segmentation of myelinated nerve fiber cross-section (MNFC) and the 3D reconstruction procedure of nerve fiber. In MNFC segmentation, a multi-level watershed scheme iteratively detects the pre-candidates of MNFC, followed by using the detection phase to detect and confirm candidates of MNFC. The contour of candidate MNFC is then refined to obtain the complete shape o

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Chen, Yi-Cheng, and 陳毅誠. "Integrated Approaches to Dimensionality Reduction and System Identification using Fuzzy Rule Based Framework." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/16418304903983943438.

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博士<br>國立陽明大學<br>生物醫學資訊研究所<br>100<br>Abstract The present era is an era of biological sciences which has been generating a huge amount of data. Those data usually requires specialized modeling and analysis tools. Computational intelligence tools, such as fuzzy logic, neural networks, and evolutionary computing, have been increasingly used in modeling and analysis of such data. In addition, such biological data almost always have many features, which may lead to enhanced data acquisition time and cost, more design time, more decision making time, and other increased expenditures in cost, time a

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Neagu, Daniel, N. M. Avouris, E. Kalapanidas, and V. Palade. "Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction." 2002. http://hdl.handle.net/10454/2970.

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No<br>In this paper we propose a unified approach for integrating implicit and explicit knowledge in neurosymbolic systems as a combination of neural and neuro-fuzzy modules. In the developed hybrid system, training data set is used for building neuro-fuzzy modules, and represents implicit domain knowledge. The explicit domain knowledge on the other hand is represented by fuzzy rules, which are directly mapped into equivalent neural structures. The aim of this approach is to improve the abilities of modular neural structures, which are based on incomplete learning data sets, since the knowledg

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Fen, Yugin, and 馮瑜瑾. "Applying the Structural Equation Model Rule-Based Fuzzy System to Trade in Volatile Currency Market." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/09412360881850454381.

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博士<br>國立高雄第一科技大學<br>管理研究所<br>101<br>The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (TWD) value, the United States Dollar (USD) value, and USD index. This research adopts the vector autoregression (VAR) dynamic time series model in addition to a comparison analysis by using the SEM static time series model. This study aims to more accurately examine the interactive relations and the degree of influence of the above-mentioned variables, by using the VAR model to

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