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Dissertations / Theses on the topic 'Optimization of fuzzy systemparameters'

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Published: 3 June 2025

Last updated: 20 July 2025

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1

Ruziyeva, Alina. "Fuzzy Bilevel Optimization." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2013. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-106378.

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In the dissertation the solution approaches for different fuzzy optimization problems are presented. The single-level optimization problem with fuzzy objective is solved by its reformulation into a biobjective optimization problem. A special attention is given to the computation of the membership function of the fuzzy solution of the fuzzy optimization problem in the linear case. Necessary and sufficient optimality conditions of the the convex nonlinear fuzzy optimization problem are derived in differentiable and nondifferentiable cases. A fuzzy optimization problem with both fuzzy objectives

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2

Tada, Minoru. "STUDIES ON FUZZY COMBINATORIAL OPTIMIZATION." Kyoto University, 1994. http://hdl.handle.net/2433/160752.

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本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものである<br>Kyoto University (京都大学)<br>0048<br>新制・論文博士<br>博士(工学)<br>乙第8724号<br>論工博第2927号<br>新制||工||976(附属図書館)<br>UT51-94-Z475<br>(主査)教授茨木俊秀, 教授長谷川利治, 教授片山徹<br>学位規則第4条第2項該当

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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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4

Hu, Cheng Lin. "Design optimization of fuzzy models in system identification." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2493501.

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5

Lehar, Matthew A. 1977. "A branching fuzzy-logic classifier for building optimization." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/32512.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.<br>Includes bibliographical references (p. 109-110).<br>We present an input-output model that learns to emulate a complex building simulation of high dimensionality. Many multi-dimensional systems are dominated by the behavior of a small number of inputs over a limited range of input variation. Some also exhibit a tendency to respond relatively strongly to certain inputs over small ranges, and to other inputs over very large ranges of input variation. A branching linear discriminant can be used to is

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6

Arnett, Timothy J. "Iteratively Increasing Complexity During Optimization for Formally Verifiable Fuzzy Systems." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin156387481300899.

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7

Gasir, Fathi Sidig. "Optimization of fuzzy regression trees using artificial immune systems." Thesis, Manchester Metropolitan University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574508.

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This thesis presents the development of a novel fuzzy regression tree algorithm known as Elgasir, which is based on the CHAID regression tree algorithm and Takagi-Sugeno fuzzy inference. The Elgasir Algorithm is applied to crisp regression trees to produce fuzzy regression trees in order to soften sharp decision boundaries inherited in crisp trees. Elgasir generates a fuzzy rule base by applying fuzzy techniques to crisp regression trees using Trapezoidal membership functions. Then Takagi-Sugeno fuzzy inference is used to aggregate the final output from the fuzzy implications. A novel optimiza

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8

Bahri, Oumayma. "A fuzzy framework for multi-objective optimization under uncertainty." Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10030/document.

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Cette thèse est consacrée à l'étude de l’optimisation combinatoire multi-objective sous incertitudes. Plus particulièrement, nous abordons les problèmes multi-objectifs contenant des données floues qui sont exprimées par des nombres triangulaires floues. Pour faire face à ce type de problèmes, notre idée principale est d’étendre les concepts multi-objectifs classiques au contexte flou. Nous proposons, dans un premier temps, une nouvelle approche Pareto entre des objectifs flous (i.e. vecteurs des nombres triangulaires flous). Ensuite, nous étendons des méta-heuristiques basées sur Pareto afin

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9

Spence, William G. "An Optimization Approach To Employee Scheduling Using Fuzzy Logic." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/618.

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An Optimization Approach to Employee Scheduling Using Fuzzy Logic William G. Spence Selection of sales employees is critical because the sales employees represent the company’s image, competitive advantage, technology, and values. In many service systems the majority of consumer contact is with the sales department. Since there are different types of customers, scheduling quality salespersons who can adequately help consumers may affect revenue. This thesis proposes a new methodology for the scheduling of employees in a service system. The methodology uses Fuzzy Logic to calculate possible

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Guo, Lizhu. "Key optimization issues for the design of fuzzy-inference system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ35169.pdf.

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11

Walker, Alex R. "Genetic Fuzzy Attitude State Trajectory Optimization for a 3U CubeSat." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1593265983802031.

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12

Feng, Yi. "Dynamic Fuzzy Logic Control of GeneticAlgorithm Probabilities." Thesis, Högskolan Dalarna, Datateknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:du-3286.

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Genetic algorithms are commonly used to solve combinatorial optimizationproblems. The implementation evolves using genetic operators (crossover, mutation,selection, etc.). Anyway, genetic algorithms like some other methods have parameters(population size, probabilities of crossover and mutation) which need to be tune orchosen.In this paper, our project is based on an existing hybrid genetic algorithmworking on the multiprocessor scheduling problem. We propose a hybrid Fuzzy-Genetic Algorithm (FLGA) approach to solve the multiprocessor scheduling problem.The algorithm consists in adding a fuzzy

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13

Chiu, Kuan-Shiu. "Adaptive optimization of intelligent flow control." Thesis, University of Sunderland, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288014.

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14

Sarma, Kamal C. "Fuzzy discrete multicriteria cost optimization of steel structures using genetic algorithm /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488205318509081.

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15

Guyot, Nicolas E. "Fuzzy logic and utility theory for multiobjective optimization of automotive joints." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-08292008-063415/.

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Santos, Patrick John. "Facial Expression Cloning with Fuzzy Membership Functions." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/26260.

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This thesis describes the development and experimental results of a system to explore cloning of facial expressions between dissimilar face models, so new faces can be animated using the animations from existing faces. The system described in this thesis uses fuzzy membership functions and subtractive clustering to represent faces and expressions in an intermediate space. This intermediate space allows expressions for face models with different resolutions to be compared. The algorithm is trained for each pair of faces using particle swarm optimization, which selects appropriate weights and ra

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Pavski, Johann Joachim. "Handover Optimization in GSM." Thesis, Linköpings universitet, Optimeringslära, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-123445.

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In telecommunications in general and in GSM in particular, the handover is a feature that guarantees a smooth transition of a call from one base station - that is for the purpose of this project an antenna - to another. In the recent ten years, the amount of data traffic through mobile telecommunications has doubled annually, putting an enormous strain on the network and forcing operators to upgrade with more and more base stations and new features. Although 3G and 4G are responsible for data traffic in most countries, GSM still provides more than 80% of the coverage for mobile devices around

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18

Kim, Sungshin. "A neuro-fuzzy approach to optimization and control of complex nonlinear processes." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/14820.

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Zheng, Xinmin, and 鄭新敏. "A fuzzy genetic algorithms (GAs) model for time-cost optimization in construction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B27510839.

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Silva, Ricardo Coelho. "Programação multi-objetivo fuzzy." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260594.

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Orientadores: Akebo Yamakami, Jose Luis Verdegay Galdeano<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-14T06:44:19Z (GMT). No. of bitstreams: 1 Silva_RicardoCoelho_D.pdf: 1144878 bytes, checksum: 38379443fb6892fd6eda74c55c3b99dc (MD5) Previous issue date: 2009<br>Resumo: O objetivo deste trabalho é buscar, estudar e estabelecer as condições de otimali-dade para resolver problemas de programação multi-objetivo irrestritos e restritos em um ambiente impreciso. Essas imprecisões estão presentes n

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Ruziyeva, Alina. "Fuzzy Bilevel Optimization." Doctoral thesis, 2012. https://tubaf.qucosa.de/id/qucosa%3A22842.

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In the dissertation the solution approaches for different fuzzy optimization problems are presented. The single-level optimization problem with fuzzy objective is solved by its reformulation into a biobjective optimization problem. A special attention is given to the computation of the membership function of the fuzzy solution of the fuzzy optimization problem in the linear case. Necessary and sufficient optimality conditions of the the convex nonlinear fuzzy optimization problem are derived in differentiable and nondifferentiable cases. A fuzzy optimization problem with both fuzzy objectives

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Wang, Shinn-Wen, and 王信文. "Optimization of Fuzzy System by Fuzzy Clustering Analysis." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/91650923483074530257.

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碩士<br>大葉工學院<br>電機工程研究所<br>84<br>Optimization of Fuzzy System by Fuzzy Clustering Analysis ABSTRACT Fuzzy rule base and fuzzy membership functions(MFs) are two major factors in deciding the performance of fuzzy inference system. Therefore, the design plays an important role for the performance stated above. Trial and error was usually the way to solution, which was not only costly and time-consuming but also promised no optimized result. In

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Jung-Ping, Huang, and 黃榮彬. "Fuzzy optimization for uncertain systems." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/76100837603015279428.

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碩士<br>國立臺灣大學<br>化學工程學研究所<br>89<br>In this thesis,we mainly discuss how to solve the single objective and multi-objective fuzzy optimization problems and ,moreover,introduce the methodology in detail. In single objective optimization problem,by means of fuzzy logic,we transfer uncertain parameters and constraints into fuzzy sets with membership functions.Therefore,objective function is considered as a fuzzy one.Through the analysis of mathematical programming, we know that original objective value locates between the condition of pessi

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Hung, Kuo-Chen, and 洪國禎. "alpha Cut Fuzzy Arithmetic Simplifying Rules, Fuzzy Weighted Average and Fuzzy Function Optimization." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/36542834489043779403.

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博士<br>東海大學<br>工業工程與經營資訊學系<br>94<br>The fuzzy theory has been used to solve various problems in management science and engineering. Hence, it becomes important to use fuzzy arithmetic operations. The main purpose of this dissertation is to investigate the procedures of fuzzy arithmetic operation. Furthermore, it provides simplifying rules of fuzzy arithmetic to save required time of arithmetic operation efficiently. We divided this article into three parts to investigate: simplifying rules, fuzzy weighted average (FWA) and fuzzy function optimization. First, the problems of Alpha-cut fuzzy arit

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Yu, K. G., and 余國駿. "Multiobjective Fuzzy Optimization With Interactive Membership." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/11652998229491168026.

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碩士<br>淡江大學<br>機械工程研究所<br>81<br>The thesis develops a method to deal with the important de- gree of multiobjective functions in fuzzy design domain. Specially ,if the fuzzy condition of pairwise comparison fully or partially exist in the objective functions, we can judge the contradiction and fuzzy degree according to Cardinal scale rating method to co- rrect the unreasonable weighting coefficient among the criteria. The fuzzy optimization method then can combined with the in- teractive prog

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Li, Pingke. "Fuzzy relational equations resolution and optimization /." 2009. http://www.lib.ncsu.edu/theses/available/etd-03202009-173601/unrestricted/etd.pdf.

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Jen-Hung, Hsiao, and 蕭仁宏. "Robust Design with Fuzzy parameters and Engineering Optimization with Fuzzy Variables." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/09348960804353597494.

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碩士<br>淡江大學<br>機械工程學系<br>89<br>In the real-world problems, fuzzy information exists in the design constraints, objective functions and design variables. These fuzzy information mostly is expressed as fuzzy parameters and fuzzy constraints. This paper presents the method of how to deal with fuzzy parameters or variables existing in the optimization problems. The basic idea is that a fuzzy problem can be transformed into a crisp problem and solved by general nonlinear programming. Due to the fuzzy characteristics, feasible robustness and performance robustness are considered is the paper. As a re

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Hsiao, Chi-Che, and 蕭祺哲. "Fuzzy Multiple Criteria Optimization for Redundancy Allocation." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/49707362836044825442.

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碩士<br>國立交通大學<br>工業工程研究所<br>83<br>It is well known that redundancy is one of the effective methods to increase the reliability of system. However, cost, weight and volumn of system are also the important criteria for the redundancy allocation problem. In this study,we provide a fuzzy multiple criteria mathematical model for the redundancy allocation problem. The reliability and cost are represent as fuzzy numbers. This redundancy allocation mathematical model is nonlinear and integer program

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Chen, Chun-Fu, and 陳俊富. "Structure Design Optimization using Fuzzy-Genetic Algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/w923q7.

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碩士<br>國立臺北科技大學<br>車輛工程系所<br>99<br>Nowadays, vehicle designs heavy rely on computer simulation. And optimization analysis becomes one of the key processes. The study investigates the feasibility of applying fuzzy and genetic algorithm to the structure optimization. A method combing with newly developed fuzzy rule set and genetic algorithm was proposed and called Fuzzy-Genetic algorithm. In the study, a fuzzy logical set was defined based on the decent function and constraints. In the study, traditional gradient optimization, optimization combined with fuzzy, genetic optimization, genetic combi

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Hsu, Chih-Chiang, and 許志強. "Fuzzy Particle Swarm Optimization for Data Clustering." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/25242692505059030762.

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碩士<br>大同大學<br>資訊經營學系(所)<br>96<br>This paper proposes a new data clustering algorithm which is based on fuzzy techniques and particle swarm optimization (PSO). As pointed out by some researchers: the standard PSO always converges very quickly towards the optimal positions but may slow its convergence speed when it is reaching a minimum [9]. This paper is trying to solve this problem by integrating a Fuzzy technique with PSO to allow each particle to update its new velocity and next position according to the current position of other better particles, in addition to gbest, pbest and itself. Not

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Wang, Chien-Seng, and 王建生. "Reliabilty-Based Fuzzy Optimization for Engineering Design." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/37601428491290601111.

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碩士<br>淡江大學<br>機械工程學系<br>85<br>In an engineering design, there are many uncertainties. For a mechanical system ,the uncertainties include fatigue, strain ,bulking, etc. Reliability concept is the most effective approach to handle these problems. This paper uses Hasofer-Lins'' s reliability method, which uses recursive numerical method to compute the optimal solution.In addition to the representation of system reliability, this paper takes account the system reliability into one of the objec

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Tzu-Chi, Liu. "Developing a Fuzzy Proportional-Derivative Controller Optimization Engine for Engineering Optimization Problems." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-2507200619025100.

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Liu, Tzu-Chi, and 劉子吉. "Developing a Fuzzy Proportional-Derivative Controller Optimization Engine for Engineering Optimization Problems." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/37952044191114862239.

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博士<br>元智大學<br>機械工程學系<br>94<br>This paper proposes a fuzzy proportional-derivative (PD) controller optimization engine for engineering optimization problems. Engineering design problems have two characteristics: the design variables are often monotonic in the objective function and constraints. Moreover, the objective function and constraints are often implicit functions which cannot be expressed explicitly in terms of design variables. Traditional numerical optimization algorithms treat engineering optimization problems as pure mathematical problems. Engineering heuristics are totally ignored.

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Chen, Wen-Hsiang, and 陳文祥. "Applying Response Surface Approximation for Engineering Optimization with Fuzzy Parameters and Fuzzy Variables." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/66916544357726532692.

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碩士<br>淡江大學<br>機械與機電工程學系碩士班<br>95<br>A design optimization problem contains fuzzy information such as fuzzy parameters and variable is often confronted in engineering applications. Particularly in the modern engineering problems, finite element method is popular used for the analysis in various engineering optimization problems with fuzzy information. This thesis presents the study of finite-element based engineering design optimization containing fuzzy parameters and fuzzy design variables; and the crisp design variables contain a mix of real continuous variables and discrete variables. For

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Shih, Chia-Sheng, and 施嘉勝. "Structural Optimization Using Genetic Algorithms with Fuzzy Rules." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/14259379352933239695.

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博士<br>國立臺灣大學<br>機械工程學研究所<br>94<br>This thesis presents two fuzzy rules employed to adapt both parameters of genetic operators and penalty factor in genetic algorithms for optimum design of structures. Namely, one system adjusts the crossover rate as well as the mutation rate dynamically according to the information of current population, and the other adjusts penalty factor according to the amount and level of constraint violations by individuals. Two studies are conducted for the research. In the first one (as for the core study), an improved dynamic penalty method is applied to transform the

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王正苡. "Multiobjective optimization using genetic algorithm and fuzzy theory." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/27561126267315445765.

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Shan-Fu, Yuan, and 袁山富. "Application of Genetic Algorithm on Fuzzy Dynamic Optimization." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/20924385215430028791.

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碩士<br>國立臺灣大學<br>化學工程學研究所<br>89<br>The main concerns in this thesis are to use genetic algorithms(GAs) as a solution tool and to solve fuzzy dynamic optimization problems. Fisrt, we introduce the basic operational procedures and definitions of genetic algorithms. Then, we test different kinds of optimization problems and conclude the results. We find that genetic algorithms has the abilty to find the global solution of static optimization problems. When applying genetic algorithms to solve optimization problems with constraints, we propose a simple procedure to handle these problems. Finally, w

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Zhang, Guo Feng, and 張國峰. "FUZZY OPTIMIZATION IN DESIGN OF REINFORCED CONCRETE MEMBERS." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/08442419391420123837.

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碩士<br>國立臺灣科技大學<br>營建工程技術學系<br>83<br>The main purpose of this research is trying to find a reasonable and effective way to design a reinforced concrete member within a tolerable cost. The general method is based on traditional structural optimization with crisp concepts. But it is inevitable for traditional method to encounter some unavoidable faults dismatching with real engineering condition a fuzzy optimization is herein introduced in this research in order to solve the problem as mention

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Hu, Fang-Bin, and 胡芳斌. "Application of Fuzzy Theory for Structural Topology Optimization." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/16736911515539457525.

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碩士<br>淡江大學<br>航空太空工程學系碩士班<br>96<br>A methodology of topology optimization design by fuzzy theory was used in this study. The concept of fuzzy theory used in this study is to find the applicable membership function and the Pareto solution of multi-objective optimization problem. The finite element analysis software ANSYS was used for structural analysis. The optimum shape design was obtained by the concept of material distribution borrowed from density method with sequential linear programming. Three stages topology design were employed in this study. In addition to using the element growth-re

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Chia-HungLin and 林嘉宏. "Fuzzy Image Filter Design Using Ant Colony Optimization." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/73334362904253576694.

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碩士<br>國立成功大學<br>電機工程學系專班<br>100<br>The digital images are easily affected by the noises; hence the image filters are often regarded as pre-processing of image processing system. If the image has serious damage or high-noise, the traditional image filters are usually unable to handle well. Therefore, this thesis utilizes the advantages of the fuzzy system to improve the traditional median filter, and then use ant colony optimization (ACO) algorithm to adjust the parameters of fuzzy image filter and make the filter to achieve better performance. ACO algorithm is an optimal method that developed

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Wang, Shiang-Yu, and 王庠予. "Fuzzy Rule Optimization for Elevator Group Control System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/4c2j5g.

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碩士<br>國立虎尾科技大學<br>資訊管理研究所<br>99<br>Nowadays, elevator system has been an important role in mansions. Elevator system is an essential transportation in high buildings. How to design an Intelligent Elevator Control System has become a research focus in recent years. This study aims to reduce average waiting time of elevator process efficiently at peak hours and to save power at off-peak hours. Elevator Group Control System (EGCS) is used to layout the schedule of elevators.. Besides, there are many factors will influence EGCS, such as the number of elevators, traffic flow, direction, passenger p

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Chiang, Lo. "Fuzzy Controller Design by Ant Colony Optimization with Fuzzy Clustering and Its FPGA Implementation." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0005-1607200623014500.

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Lo, Chiang, and 羅強. "Fuzzy Controller Design by Ant Colony Optimization with Fuzzy Clustering and Its FPGA Implementation." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/35058560902407924766.

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碩士<br>國立中興大學<br>電機工程學系所<br>94<br>This thesis proposes a novel design method of Fuzzy Controller by Ant Colony Optimization (ACO) algorithm with Fuzzy Clustering (FC-ACOFC). The objective of FC-ACOFC is to improve both the design efficiency of fuzzy controller and control performance. Structure of FC-ACOFC, including the number of rules and fuzzy sets in each input variable, is created on-line by a newly proposed fuzzy clustering method. In contrast to conventional grid-type partition, the antecedent part of FC-ACOFC is flexibly partitioned, and the phenomenon of highly overlapped fuzzy sets is

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Jing, Chang Huei, and 井長慧. "The Problem of Fuzzy Optimization for Ethanol Fermentation Processes." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/02073005591580916837.

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碩士<br>國立中正大學<br>化學工程研究所<br>85<br>In describing engineering problems, many of them don''t need to fix in a rigid and definite range. In solving the optimization problems, rigid restrictions may produce the long time in solving problems or no convergentanswer. The major purpose of this paper is to use the method of fuzzy optimization to solve problems. We use fuzzy method to convert unexplicitrestriction problems into explicit problem. Problems with constraints couldbe solved by genet

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Kung, Shu-Ming, and 龔淑銘. "CNC Milling process Optimization Using Taguchi-Fuzzy-ANN Approach." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/28406133141969657740.

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碩士<br>國立高雄第一科技大學<br>機械與自動化工程所<br>92<br>The milling machining is very popular in the industry all of the word. However we will face many different kinds of quality features to find the optimization problems. Take the CNC milling for example, the precision of parts; the roughness and the tool wear are very important index for the quality feature. The optimum process parameters will be different with the features of quality, so there are contradictions between parameters design. The fuzzy logical and Taguchi’s analysis method are employed in this study. An L18 orthogonal array allocating with thr

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Wu, Shiue-Guang, and 吳學光. "Fuzzy Optimization with Hybrid Numbers for Intelligent Production Management." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/74936631627043613020.

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碩士<br>國立海洋大學<br>機械與輪機工程學系<br>87<br>Traditional mathematical programming algorithms usually rely on known information to establish their models correctly. However, in real world, these information does not only exist in crisp numbers, but also in random variables and fuzzy numbers. This research focuses on handling data that are of different types and traits and developing a set of rules is based the Fuzzy Theory. Hence, many problems with complex information can be solved by modified mathematical programming algorithm. We apply this methodology to the production management which is the main fo

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Pan, Chang-Hsin, and 潘昌鑫. "GENERAL FUZZY OPTIMIZATION ON MULTI-OBJECTIVE CNC FINISH TURNING." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/85604064275037209811.

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碩士<br>大同大學<br>機械工程學系(所)<br>96<br>The issue of making parameter optimization of multi-objective CNC finish turning system regulation usually has highly complex non-linear relations, and the interactions are complex between the parameter and objective. Existing optimization research studied by a projection of the specific state, and more needed to make it by a large amount of repetitive operation and equipment. Because making parameter optimization of multi-objective CNC finish turning system regulation is really difficult, this paper chose multi-objective CNC finish turning system regulation to

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Wang, Zheng-Yao, and 王正堯. "Discrete Fuzzy Optimization Using Response Surface Approximation and Application." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/19923209828817403364.

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碩士<br>淡江大學<br>機械與機電工程學系碩士班<br>94<br>This thesis study the fuzzy structural optimization problems under discrete design variables environment by using response surface approximation for objective and constraint functions. The fuzzy characteristic is lie in the fuzzy allowable limit of constraints. The difficulties of this problem primarily come from the handling of discrete variables and the solution search process. An effective increasing experimental points strategy gradually modifies the representative response surface so that the final response surface contains the optimum. It is delighted

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Hung, Chi-Wei, and 洪齊偉. "Fuzzy System Design Using Cooperative Continuous Ant Colony Optimization." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/31601896627474625187.

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碩士<br>國立中興大學<br>電機工程學系所<br>98<br>This thesis proposes cooperative continuous ant colony optimization (CCACO) for fuzzy system design. The fuzzy system is designed with a fixed number of fuzzy rules and all parameters are optimized by the CCACO. The CCACO shows better performance than previous continuous ant colony optimization algorithms. The CCACO optimizes antecedent and consequent parameters. The original parameters are renewed through pheromone-based Gaussian sampling of the original solutions and attraction caused by a global best solution. New solutions are obtained based on cooperation

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Li, Zhenyang. "Dynamic left-turn phase optimization using fuzzy logic control." 2004. http://etd.utk.edu/2004/LiZhenyang.pdf.

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Thesis (Ph. D.)--University of Tennessee, Knoxville, 2004.<br>Title from title page screen (viewed May 17, 2004). Thesis advisor: Lee D. Han. Document formatted into pages (xi, 160 p. : ill. (some col.)). Vita. Includes bibliographical references (p. 154-159).

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