Log in

Relevant bibliographies by topics / Fuzzy Methods / Dissertations / Theses

To see the other types of publications on this topic, follow the link: Fuzzy Methods.

Dissertations / Theses on the topic 'Fuzzy Methods'

Author: Grafiati

Published: 10 March 2023

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 dissertations / theses for your research on the topic 'Fuzzy Methods.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

1

Matthews, Chris, and mikewood@deakin edu au. "Fuzzy concepts and formal methods." Deakin University. School of Management Information Systems, 2001. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051201.154843.

Full text

Abstract:

It has been recognised that formal methods are useful as a modelling tool in requirements engineering. Specification languages such as Z permit the precise and unambiguous modelling of system properties and behaviour. However some system problems, particularly those drawn from the information systems problem domain, may be difficult to model in crisp or precise terms. It may also be desirable that formal modelling should commence as early as possible, even when our understanding of parts of the problem domain is only approximate. This thesis suggests fuzzy set theory as a possible representati

APA, Harvard, Vancouver, ISO, and other styles

2

Swartz, Andre Michael. "Methods for designing and optimizing fuzzy controllers." Thesis, Rhodes University, 2000. http://hdl.handle.net/10962/d1005226.

Full text

Abstract:

We start by discussing fuzzy sets and the algebra of fuzzy sets. We consider some properties of fuzzy modeling tools. This is followed by considering the Mamdani and Sugeno models for designing fuzzy controllers. Various methods for using sets of data for desining controllers are discussed. This is followed by a chapter illustrating the use of genetic algorithms in designing and optimizing fuzzy controllers.Finally we look at some previous applications of fuzzy control in telecommunication networks, and illustrate a simple application that was developed as part of the present work.

APA, Harvard, Vancouver, ISO, and other styles

3

Prajitno, Prawito. "Neuro-fuzzy methods in multisensor data fusion." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251258.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

FURUHASHI, Takeshi, and Makoto YASUDA. "Fuzzy Entropy Based Fuzzy c-Means Clustering with Deterministic and Simulated Annealing Methods." Institute of Electronics, Information and Communication Engineers, 2009. http://hdl.handle.net/2237/15060.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Wang, Yanfei. "Fuzzy methods for analysis of microarrays and networks." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/48175/1/Yanfei_Wang_Thesis.pdf.

Full text

Abstract:

Bioinformatics involves analyses of biological data such as DNA sequences, microarrays and protein-protein interaction (PPI) networks. Its two main objectives are the identification of genes or proteins and the prediction of their functions. Biological data often contain uncertain and imprecise information. Fuzzy theory provides useful tools to deal with this type of information, hence has played an important role in analyses of biological data. In this thesis, we aim to develop some new fuzzy techniques and apply them on DNA microarrays and PPI networks. We will focus on three problems: (1) c

APA, Harvard, Vancouver, ISO, and other styles

6

Abd, Rahim Noor Hafhizah. "Comparing and compressing fuzzy concepts : methods and application." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.682484.

Full text

Abstract:

In recent years, the volume of data has risen so rapidly due to the Internet and World Wide Web development. This phenomenon called information overload or digital obesity has caused data explosion and may lead to storage problems in the future. Many forms of data are stored and transmitted via internet including textual data. Textual data, which is usually in unstructured form can be processed or mined to yield useful information. In order to represent that, we need to know the underlying concepts. The most suitable approach to model the concepts is to design an ontology. Formal Concept Analy

APA, Harvard, Vancouver, ISO, and other styles

7

Siddique, Muhammad. "Fuzzy decision making using max-min and MMR methods." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3042.

Full text

Abstract:

Fuzzy logic is based on the theory of fuzzy sets, where an object’s membership of a set is gradual rather than just member or not a member. Fuzzy logic uses the whole interval of real numbers between zero (False) and one (True) to develop a logic as a basis for rules of inference. Particularly the fuzzified version of the modus ponens rule of inference enables computers to make decisions using fuzzy reasoning rather than exact. We study decision making problem under uncertainty. we analyze Max-Min method and Minimization of regret method originally developed by Savage and further developed by

APA, Harvard, Vancouver, ISO, and other styles

8

Nasser, Sara. "Fuzzy methods for meta-genome sequence classification and assembly." abstract and full text PDF (free order & download UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3307706.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Eliason, Ryan Lee. "Application of Convex Methods to Identification of Fuzzy Subpopulations." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2242.

Full text

Abstract:

In large observational studies, data are often highly multivariate with many discrete and continuous variables measured on each observational unit. One often derives subpopulations to facilitate analysis. Traditional approaches suggest modeling such subpopulations with a compilation of interaction effects. However, when many interaction effects define each subpopulation, it becomes easier to model membership in a subpopulation rather than numerous interactions. In many cases, subjects are not complete members of a subpopulation but rather partial members of multiple subpopulations. Grade of Me

APA, Harvard, Vancouver, ISO, and other styles

10

Kotta, Anwesh. "Condition Monitoring : Using Computational intelligence methods." Master's thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-187100.

Full text

Abstract:

Machine tool components are widely used in many industrial applications. In accordance with their usage, a reliable health monitoring system is necessary to detect defects in these components in order monitor machinery performance and avoid malfunction. Even though several techniques have been reported for fault detection and diagnosis, it is a challenging task to implement a condition monitoring system in real world applications due to their complexity in structure and noisy operating environment. The primary objective of this thesis is to develop novel intelligent algorithms for a reliable f

APA, Harvard, Vancouver, ISO, and other styles

11

Felizardo, Rui Miguel Meireles. "A study on parallel versus sequential relational fuzzy clustering methods." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/5663.

Full text

Abstract:

Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>Relational Fuzzy Clustering is a recent growing area of study. New algorithms have been developed,as FastMap Fuzzy c-Means (FMFCM) and the Fuzzy Additive Spectral Clustering Method(FADDIS), for which it had been obtained interesting experimental results in the corresponding founding works. Since these algorithms are new in the context of the Fuzzy Relational clustering community, not many experimental studies are available. This thesis comes in response to the need of further investigation on these algorithms, concerning

APA, Harvard, Vancouver, ISO, and other styles

12

Závěrka, Pavel. "Možnosti využití neurčité logiky v oceňovací praxi." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-232474.

Full text

Abstract:

Abstract The following thesis discusses the problems of apprising methods of real estate with regard to subjective factor which is inherited in the process by the appricing subject. It discusses methods, evaluations and points out possible disturbing effects and faults which could influence these methods. The example case study shows possibilities in using the power of fuzzy logic, which contributes in a significant way to higher transparency, reproducibility and portability of the whole appricing process. The main goal of the thesis is to introduce the advantages and power of a new evaluation

APA, Harvard, Vancouver, ISO, and other styles

13

Saeed, Mehreen. "Soft AI methods and visual speech recognition." Thesis, University of Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299270.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Walz, Nico-Philipp [Verfasser]. "Fuzzy Arithmetical Methods for Possibilistic Uncertainty Analysis / Nico-Philipp Walz." Aachen : Shaker, 2016. http://d-nb.info/1124366709/34.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

McNamara, Simon Richard. "Twistor inspired methods in perturbative field theory and fuzzy funnels." Thesis, Queen Mary, University of London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440454.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Styliandidis, Orestis. "Knowledge from data : concept induction using fuzzy and neural methods." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361076.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

CHEN, SHANGYE. "ENHANCING FUZZY CLUSTERING METHODS FOR IMAGE SEGMENTATION USING SPATIAL INFORMATION." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1556555486273.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Lee, Stephanie Scheibe. "Fuzzy Membership Function Initial Values: Comparing Initialization Methods That Expedite Convergence." VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd/852.

Full text

Abstract:

Fuzzy attributes are used to quantify imprecise data that model real world objects. To effectively use fuzzy attributes, a fuzzy membership function must be defined to provide the boundaries for the fuzzy data. The initialization of these membership function values should allow the data to converge to a stable membership value in the shortest time possible. The paper compares three initialization methods, Random, Midpoint and Random Proportional, to determine which method optimizes convergence. The comparison experiments suggest the use of the Random Proportional method.

APA, Harvard, Vancouver, ISO, and other styles

19

Krejčí, Jana. "MCDM methods based on pairwise comparison matrices and their fuzzy extension." Doctoral thesis, Università degli studi di Trento, 2017. https://hdl.handle.net/11572/369186.

Full text

Abstract:

Methods based on pairwise comparison matrices (PCMs) form a significant part of multi-criteria decision making (MCDM) methods. These methods are based on structuring pairwise comparisons (PCs) of objects from a finite set of objects into a PCM and deriving priorities of objects that represent the relative importance of each object with respect to all other objects in the set. However, the crisp PCMs are not able to capture uncertainty stemming from subjectivity of human thinking and from incompleteness of information about the problem that are often closely related to MCDM problems. That is wh

APA, Harvard, Vancouver, ISO, and other styles

20

Krejčí, Jana. "MCDM methods based on pairwise comparison matrices and their fuzzy extension." Doctoral thesis, University of Trento, 2017. http://eprints-phd.biblio.unitn.it/2009/3/Thesis-KrejciJ.pdf.

Full text

Abstract:

Methods based on pairwise comparison matrices (PCMs) form a significant part of multi-criteria decision making (MCDM) methods. These methods are based on structuring pairwise comparisons (PCs) of objects from a finite set of objects into a PCM and deriving priorities of objects that represent the relative importance of each object with respect to all other objects in the set. However, the crisp PCMs are not able to capture uncertainty stemming from subjectivity of human thinking and from incompleteness of information about the problem that are often closely related to MCDM problems. That is wh

APA, Harvard, Vancouver, ISO, and other styles

21

Kwan, Alvin Chi Ming. "A framework for mapping constraint satisfaction problems to solution methods." Thesis, University of Essex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339436.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

McCulloch, Josie C. "Novel methods of measuring the similarity and distance between complex fuzzy sets." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33401/.

Full text

Abstract:

This thesis develops measures that enable comparisons of subjective information that is represented through fuzzy sets. Many applications rely on information that is subjective and imprecise due to varying contexts and so fuzzy sets were developed as a method of modelling uncertain data. However, making relative comparisons between data-driven fuzzy sets can be challenging. For example, when data sets are ambiguous or contradictory, then the fuzzy set models often become non-normal or non-convex, making them difficult to compare. This thesis presents methods of comparing data that may be repre

APA, Harvard, Vancouver, ISO, and other styles

23

Ward, James L. "A Comparison of Fuzzy Logic Spatial Relationship Methods for Human Robot Interaction." NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-12172008-125840/.

Full text

Abstract:

As the science of robotics advances, robots are interacting with people more frequently. Robots are appearing in our houses and places of work acting as assistants in many capacities. One aspect of this interaction is determining spatial relationships between objects. People and robots simply can not communicate effectively without references to the physical world and how those objects relate to each other. In this research fuzzy logic is used to help determine the spatial relationships between objects as fuzzy logic lends itself to the inherent imprecision of spatial relationships. Objects ar

APA, Harvard, Vancouver, ISO, and other styles

24

FILHO, ANTONIO CARLOS DE SOUZA SAMPAIO. "MODIFIED CAPITAL BUDGETING METHODS UNDER UNCERTAINTIES: AN APPROACH BASED ON FUZZY NUMBERS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=37098@1.

Full text

Abstract:

PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Essa tese apresenta uma abordagem alternativa para orçamento de capital, denominada Métodos Modificados de Avaliação de Projetos de Investimentos em Ambiente Fuzzy, para avaliação de projetos em condições de incerteza. O desenvolvimento da abordagem proposta está dividido em duas fases: na primeira fase, é estabelecido um modelo determinístico generalizado que prevê explicitamente a utilização dos custos de oportunidade associados com os fluxos de caixa intermediários de um projeto de investimento empresarial. Os pressupostos implícitos dos

APA, Harvard, Vancouver, ISO, and other styles

25

Maglaras, George K. "Experimental comparison of probabilistic methods and fuzzy sets for designing under uncertainty." Diss., Virginia Tech, 1995. http://hdl.handle.net/10919/37765.

Full text

Abstract:

Recently, probabilistic methods have been used extensively to model uncertainty in many design optimization problems. An alternative approach for modeling uncertainties is fuzzy sets. Fuzzy sets usually require much less information than probabilistic methods and they rely on expert opinion. In principle, probability theory should work better in problems involving only random uncertainties, if sufficient information is available to model these uncertainties accurately. However, because such information is rarely available, probabilistic models rely on a number of assumptions regarding the magn

APA, Harvard, Vancouver, ISO, and other styles

26

Gomaa, Ehab. "Environmental balance of mining from seafloor." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2014. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-137627.

Full text

Abstract:

The underwater mining has increased in the recent years and the growing awareness of the potential impacts on the environment, as results of increasing the encroachment on the marine environment. Therefore, the debate has increased about how to protect this environment by using the scientific research that\'s relevant to the various environmental effects and developing the equipment used in dredging. There is a wide diversity of underwater mining equipments, such as continuous and non-continuous dredging which used for production of sand, gravel, alluvial deposits and raw material. There are a

APA, Harvard, Vancouver, ISO, and other styles

27

Senge, Robin [Verfasser], and Eyke [Akademischer Betreuer] Hüllermeier. "Machine Learning Methods for Fuzzy Pattern Tree Induction / Robin Senge. Betreuer: Eyke Hüllermeier." Marburg : Philipps-Universität Marburg, 2014. http://d-nb.info/1059855569/34.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Horng, Yih-Jen, and 洪一禎. "Fuzzy Information Retrieval Methods Based on Fuzzy Concept Networks." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/02967377457402835997.

Full text

Abstract:

碩士<br>國立交通大學<br>資訊科學學系<br>84<br>Since the fuzzy concept networks allow us to obtain related information by means of the relevant values between concepts, many fuzzy information retrieval methods based on fuzzy concept networks had been proposed. However,the relevant values between concepts in the traditional fuzzy concept networksare restricted to real values between zero and one. The fuzzy information retrieval methods based on these traditional fuzzy concept networks are not flexible enou

APA, Harvard, Vancouver, ISO, and other styles

29

Jeng, Ya-Ju, and 鄭亞竹. "Attribute-Weighted fuzzy clustering methods." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/54336872793242199475.

Full text

Abstract:

碩士<br>中原大學<br>應用數學研究所<br>95<br>Since Zadeh proposed fuzzy set theory, fuzzy clustering has been widely studied and applied in a variety of substantive areas. The clustering applications in various areas such as taxonomy, feature analysis, image processing, medicine, neural networks, geology, engineering systems and business, etc. Fuzzy c-means (FCM) are extensions of hard c-means (HCM). FCM has been become the most well-known and powerful method in cluster analysis. In the fuzzy clustering literature, the fuzzy c-means algorithm first proposed by Dunn and then generalized by Bezdek is one of t

APA, Harvard, Vancouver, ISO, and other styles

30

Yung-Chou and 陳勇洲. "New Methods for Generating Fuzzy Rules for Fuzzy Classification Systems." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/59759052097981521421.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>電子工程系<br>89<br>The fuzzy classification system is an important application of the fuzzy set theory. The most important task to design fuzzy classification systems is to find a set of fuzzy rules from training data to deal with a specific classification problem. There are two main approaches to obtain the fuzzy rules of fuzzy classification systems. One of them is given by experts; the other is through an automatic learning process. In recent years, there are many method have been proposed to generate fuzzy rules from training instances for fuzzy classification systems.

APA, Harvard, Vancouver, ISO, and other styles

31

Shu-Kuang, Chang, and 張曙光. "Methods on Testing Hypotheses of Fuzzy Mean and Fuzzy Variance." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/35917831884062870622.

Full text

Abstract:

博士<br>國立政治大學<br>應用數學研究所<br>95<br>In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this paper, we present a class of fuzzy statistical decision process in which testing hypothesis can be naturally reformulated in terms of interval-valued statistics. We provide the definitions of fuzzy mean, fuzzy distance as well as investigation of their related properties. We also give some empirical examples to illustrate the techniques and to analyze fuzzy data. Empirical studies show that fuzzy hypothesis testing with s

APA, Harvard, Vancouver, ISO, and other styles

32

蔡豐州. "Methods for solving fuzzy goal programming." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/01158736348985012340.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Chen, Juin-Han, and 陳君涵. "Modularized Fuzzy Ranking Methods and Application." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/64248335678491531079.

Full text

Abstract:

碩士<br>國立清華大學<br>工業工程與工程管理學系<br>87<br>The comparison or ranking of fuzzy numbers has been a very important topic. Many researchers have proposed different methods for ranking fuzzy numbers. However, there are some limitations or insufficiency on the application of these ranking methods. The objective of this study is to develop a generic framework of fuzzy ranking methods so that the ranking methods can be decomposed into modules and be examined systematically. Thus, the users can choose different modules to generate specific fuzzy ranking method depending on different demands. To examine the f

APA, Harvard, Vancouver, ISO, and other styles

34

Wu, Hong-Cheng, and 吳鴻鎮. "Comparative Study on Fuzzy Modeling Methods." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/48255832184823208313.

Full text

Abstract:

碩士<br>國立海洋大學<br>電機工程學系<br>84<br>This thesis is focused on the investigation of fuzzy modeling. The fuzzy model utilizes a set of fuzzy IF-THEN rules to describethe behavior of systems and is suitable for characterizing the nonlinear behavior of physical systems. In this work we are tostudy three different types of fuzzy models, including theirconstruction and analysis. First we apply the three types ofmodels for representing the input-output data set of some nonlinearsystems. Then the model

APA, Harvard, Vancouver, ISO, and other styles

35

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

36

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

37

Yu, Cheng-Hao, and 游承澔. "New Methods for Handling Fuzzy Classification Problems for Fuzzy Classification Systems." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/38491461139349654318.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>電子工程系<br>90<br>The fuzzy classification system is an important application of the fuzzy set theory. Fuzzy classification systems can deal with perceptual uncertainties in classification problems. In this thesis, we proposed two methods to deal with fuzzy classification problems for fuzzy classification systems. The first method can deal with fuzzy classification problems based on the concept of fuzzy compatibility relations for finding the cluster centers of training instances. The proposed method can get a higher average classification accuracy rate than the existing methods

APA, Harvard, Vancouver, ISO, and other styles

38

Kao, Han-Ying, and 高韓英. "Reasoning with Fuzzy Information: Methods and Applications." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/47338048153161144371.

Full text

Abstract:

博士<br>國立交通大學<br>資訊管理研究所<br>92<br>Reasoning is a major task to an expert system or a decision support system. Three types of reasoning tasks prevail in real-world applications: prediction, diagnosis and planning. Among the various knowledge bases and computation schema, Bayesian networks and influence diagrams are well-known graphical models for reasoning and decision-making under uncertainty. Many algorithms have been designed to answer the queries on a Bayesian network or an influence diagram. However, several limitations persist in the conventional methods. First, all relevant parameters are

APA, Harvard, Vancouver, ISO, and other styles

39

Lu, Hai-Wen, and 陸海文. "A Study of Fuzzy Numbers Ranking Methods." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/09294615240837080277.

Full text

Abstract:

博士<br>國立成功大學<br>工業管理學系<br>89<br>Decision makers usually perform imprecise evaluations for a set of alternatives in an uncertain environment, because of the lack of precise information, such as unquantifiable information, incomplete information, nonobtainable information and partial ignorance. To resolve this problem, fuzzy set theory has been extensively used. Fuzzy numbers are applied to represent the imprecise measurements of different alternatives. This leads that the evaluations of a set of alternatives are actually the ranking of the aggregated fuzzy numbers. The ranking pr

APA, Harvard, Vancouver, ISO, and other styles

40

YANG, MING-XIAN, and 楊銘賢. "Lot-sizing methods for fuzzy demand problems." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/02567642653084711379.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Horng, Yih-Jen, and 洪一禎. "New Knowledge-Based Fuzzy Information Retrieval Methods." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/90274121500459090863.

Full text

Abstract:

博士<br>國立交通大學<br>資訊科學系<br>91<br>By means of the embedded knowledge in knowledge bases, knowledge bases can help information retrieval systems to retrieve relevant documents with respect to the user’s query in a more flexible and more intelligent manner. Since fuzzy concept networks consisting of nodes and directed links are easy to represent the relationships between meaningful entities in the information retrieval environment, many fuzzy information retrieval methods have been proposed to utilize fuzzy concept networks as knowledge bases. However, the relevant values between concept nodes in t

APA, Harvard, Vancouver, ISO, and other styles

42

Lin, Chung-Jie, and 林中傑. "GPS Positioning Accuracy Improvement by Fuzzy Methods." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/04864117154083500771.

Full text

Abstract:

碩士<br>國立臺灣大學<br>電機工程學系<br>85<br>GPS接收機的定位精確度對於使用者而言是很重要的，特別是使用C/A 碼的單一接收機。在本論文中，將提出應用模糊理論於全球定位系統以改善定位精確度的方法。針對衛星幾何分佈所造成的精確釋度(Dilution of Precision, DOP)及接收機通道之訊號雜訊比(Signal- Noise Ratio, SNR)對於定位誤差所造成的影響，於文中將有詳細的探討。然而，PDOP和SNR之間的關係會彼此矛盾，且具有一定的模糊性，這也就是為什麼引用模糊方法的原因。實驗的方法大致為，利用定位資料的 PDOP值、SNR值作為模糊處理單元( Fuzzy Processing Unit )的輸入，用以推論計算該筆定位資料的信賴度因子 (Reliable Factor)。再者，將此信賴度因子和一預先設定的臨界值比較，若信賴度因子大於該值，則選用此定位資料。經由此方法，而可以從原始資料中，篩選出較

APA, Harvard, Vancouver, ISO, and other styles

43

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

44

Wei, Shih-Hua, and 魏世驊. "New Methods for Fuzzy Risk Analysis Based on Similarity Measures between Fuzzy Numbers." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/am43ea.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>資訊工程系<br>95<br>In recent years, the task of measuring the degree of similarity between fuzzy numbers plays an important role in fuzzy decision making, information fusion and fuzzy risk analysis. In this thesis, we present two similarity measures for generalized fuzzy numbers and interval-valued fuzzy numbers. It combines the concepts of geometric distance, the perimeter, height and center of gravity point of generalized fuzzy numbers and interval-valued fuzzy number, respectively. Moreover, we also presented an interval-valued fuzzy number adjusting algorithm. Based on propos

APA, Harvard, Vancouver, ISO, and other styles

45

Hong, Won-Sin, and 洪婉馨. "New Methods for Handling Fuzzy Information Retrieval Problems." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/02606242659733318827.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>資訊工程系<br>93<br>With the rapid development of information technology, more and more information appears in the network in the form of text documents. In order to help users to get their needed documents, the role of information retrieval systems is more and more important. With the help of an information retrieval system, users can get relevant documents ranking by their relevant degrees. In recent years, some researchers have used averaging operators to deal with the “AND” and “OR” operations of users’ fuzzy queries for fuzzy information retrieval. In this thesis, we present

APA, Harvard, Vancouver, ISO, and other styles

46

Chun-YuChen and 陳君諭. "Evaluating Engineering Dispute resolution Methods using Fuzzy AHP." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/94969720622037294549.

Full text

Abstract:

碩士<br>國立成功大學<br>土木工程學系碩博士班<br>98<br>The prosperous of construction projects in the domestic market and the complicated construction work division are known to be the major causes lead to complexities and uncertainties in the construction processes from procurement to construction stages. The uncertainties, the complexity further lead to the awareness of fair deal among the stakeholders in which it’s eventually escalates into construction dispute. Construction dispute is the common scenario seen in construction projects in which the duration dispute and also the change order dispute are the mos

APA, Harvard, Vancouver, ISO, and other styles

47

Chen, Chao-Dian, and 陳晁典. "New Methods for Handling Forecasting Problems Using Fuzzy Time Series and Fuzzy Logical Relationships." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/38418111128707767479.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>資訊工程系<br>97<br>In this thesis, we present two new methods to handle forecasting problems based on fuzzy time series and fuzzy logical relationships. In the first method, we present a new method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on fuzzy time series. The proposed method constructs the first-order fuzzy logical relationship based on the historical data and fuzzifies the variation of the main factor (TAIEX) and the secondary factor (the Dow Jones, the NASDAQ, the M1b (Taiwan) or their combinations) for forecasting the TAIEX t

APA, Harvard, Vancouver, ISO, and other styles

48

WU, HONG-YI, and 吳虹毅. "Reliability Allocation Based on Fuzzy-delphi and Fuzzy-AHP Methods in Vehicle System Development." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/wv2f2h.

Full text

Abstract:

碩士<br>南開科技大學<br>車輛與機電產業研究所<br>107<br>The reliability allocation method is used for the sub-level systems of product which should be allocated down the reliability objective during the initial development phase. After selecting and comparing the necessary estimated parameters of the sub-level systems, the weighing values will be determined from the experts. To reduce the cost of reliability works for the new product development program, selecting applicable reliability allocation method has become important work. This study adopts the fuzzy Delphi method (FDM) and Fuzzy Analytical Hierarchy Pro

APA, Harvard, Vancouver, ISO, and other styles

49

Chen, Ze-jin, and 陳澤金. "New Fuzzy Interpolative Reasoning Methods based on Piecewise Fuzzy Entropies of Fuzzy Sets, Piecewise Fuzzy Entropies of Rough-Fuzzy Sets and the Ratios of Fuzziness of Rough-Fuzzy Sets." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/70287632518485817267.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>資訊工程系<br>102<br>Fuzzy interpolative reasoning is a very important research topic for sparse fuzzy rule-based systems. It can overcome the drawbacks of sparse fuzzy rule-based systems and can reduce the complexity of fuzzy rule bases for fuzzy rule-based systems. In this thesis, we propose two new fuzzy interpolative reasoning methods for sparse fuzzy rule-based systems based on type-1 fuzzy sets and rough-fuzzy sets, respectively. In the first method of our thesis, we propose a new method for weighted fuzzy interpolative reasoning based on piecewise fuzzy entropies of fuzzy s

APA, Harvard, Vancouver, ISO, and other styles

50

BARSACCHI, MARCO. "Fuzzy Methods for Machine Learning. A Big Data Perspective." Doctoral thesis, 2019. http://hdl.handle.net/2158/1150519.

Full text

Abstract:

More than fifty years after its introduction, fuzzy sets theory is still thriving and continues to play a relevant role in a wide number of scientific applications. Nevertheless, while the enrichments that fuzzy logic and set theory can provide are manifold, the recognition of fuzzy set and logic inside the machine learning community remains rather moderate. In this thesis, we present several approaches aimed at improving machine learning techniques using tools borrowed from fuzzy set theory and logic. Particularly, we try to focus more on the machine learning perspective, thus inviting machi

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!