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1

Mao, Hongwei. "Estimating labour productivity using fuzzy set theory." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0019/MQ47065.pdf.

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2

Raghfar, Hossein. "Application of fuzzy set theory to poverty analysis." Thesis, University of Essex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343582.

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3

Saboo, Jai Vardhan. "An investment analysis model using fuzzy set theory." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/50087.

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Traditional methods for evaluating investments in state-of-the-art technology are sometimes found lacking in providing equitable recommendations for project selection. The major cause for this is the inability of these methods to handle adequately uncertainty and imprecision, and account for every aspect of the project, economic and non-economic, tangible and intangible. Fuzzy set theory provides an alternative to probability theory for handling uncertainty, while at the same time being able to handle imprecision. It also provides a means of closing the gap between the human thought process an
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Bhattacharyya, Kakali. "Classification of rock masses based on fuzzy set theory." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29490352.

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5

Murali, V. "A study of universal algebras in fuzzy set theory." Thesis, Rhodes University, 1988. http://hdl.handle.net/10962/d1001983.

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This thesis attempts a synthesis of two important and fast developing branches of mathematics, namely universal algebra and fuzzy set theory. Given an abstract algebra [X,F] where X is a non-empty set and F is a set of finitary operations on X, a fuzzy algebra [I×,F] is constructed by extending operations on X to that on I×, the set of fuzzy subsets of X (I denotes the unit interval), using Zadeh's extension principle. Homomorphisms between fuzzy algebras are defined and discussed. Fuzzy subalgebras of an algebra are defined to be elements of a fuzzy algebra which respect the extended algebra
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Assi, Jolnar Abdulkarim. "Knightian uncertainty modelling and its impact on option pricing : applications of fuzzy set theory, fuzzy measure theory and fuzzy differential calculus." Thesis, City University London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274460.

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7

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

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8

Melik, Serhat. "Cash Flow Analysis Of Construction Projects Using Fuzzy Set Theory." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612517/index.pdf.

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Construction industry is a one of the most risky sectors due to high level of uncertainties included in the nature of the construction projects. Although there are many reasons, the deficiency of cash is one of the main factors threatening the success of the construction projects and causing business failures. Therefore, an appropriate cash planning technique is necessary for adequate cost control and efficient cash management while considering the risks and uncertainties of the construction projects. The main objective of this thesis is to develop a realistic, reliable and cost-schedule inte
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Al-Zaidan, Amina S. "Mathematical modeling of marine environment contamination using fuzzy set theory." Thesis, Bangor University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248901.

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10

Almadani, Firdos Mohammed. "Modelling and analysing vague geographical places using fuzzy set theory." Thesis, University of Leicester, 2016. http://hdl.handle.net/2381/37352.

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Vagueness is an essential part of how humans perceive and understand the geographical world they occupy. It has now become of increasing important to acknowledge this situation in geographical databases and analyses in the field of Geographical Information Science (GIScience). This research has tackled the wholly original topic of modelling vague geographical places (objects) based on fuzzy set theory with a view to assessing the implications of routing problem around those vague places. The research has focused on the modelling of vague places, for a number of villages and rural settlements,
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Zettervall, Hang. "Fuzzy Set Theory Applied to Make Medical Prognoses for Cancer Patients." Doctoral thesis, Blekinge Tekniska Högskola [bth.se], Faculty of Engineering - Department of Mathematics and Natural Sciences, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00574.

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As we all know the classical set theory has a deep-rooted influence in the traditional mathematics. According to the two-valued logic, an element can belong to a set or cannot. In the former case, the element’s membership degree will be assigned to one, whereas in the latter case it takes the zero value. With other words, a feeling of imprecision or fuzziness in the two-valued logic does not exist. With the rapid development of science and technology, more and more scientists have gradually come to realize the vital importance of the multi-valued logic. Thus, in 1965, Professor Lotfi A. Zadeh
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Abbas, Mujahid. "Soft Set Theory: Generalizations, Fixed Point Theorems, and Applications." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/48470.

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Mathematical models have extensively been used in problems related to engineering, computer sciences, economics, social, natural and medical sciences etc. It has become very common to use mathematical tools to solve, study the behavior and different aspects of a system and its different subsystems. Because of various uncertainties arising in real world situations, methods of classical mathematics may not be successfully applied to solve them. Thus, new mathematical theories such as probability theory and fuzzy set theory have been introduced by mathematicians and computer scientists to
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Moreau, Aurélien. "How fuzzy set theory can help make database systems more cooperative." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S043/document.

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Dans ces travaux de thèse nous proposons de tirer parti de la théorie des ensembles flous afin d'améliorer les interactions entre les systèmes de bases de données et les utilisateurs. Les mécanismes coopératifs visent à aider les utilisateurs à mieux interagir avec les SGBD. Ces mécanismes doivent faire preuve de robustesse : ils doivent toujours pouvoir proposer des réponses à l'utilisateur. Empty set (0,00 sec) est un exemple typique de réponse qu'il serait désirable d'éradiquer. Le caractère informatif des explications de réponses est parfois plus important que les réponses elles-mêmes : ce
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Fischer, Manfred M., and Josef Benedikt. "The Use of Fuzzy Set Theory in Remote Sensing Pattern Recognition." WU Vienna University of Economics and Business, 1996. http://epub.wu.ac.at/4174/1/WSG_DP_5096.pdf.

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Satellite images increasingly become a major data source for monitoring changes in the natural environment. A main task in the analysis of satellite images is concerned with the modelling of land use classes by reducing uncertainty during a classification process. In the approach presented in this paper uncertainty is perceived to be due to the vagueness of geographical categories caused by either the complexity of the category (like 'urban area') or by the use of the category in several application contexts. Two circumstances of use of an extended set theoretical concept (fuzzy sets) ar
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15

Ornelas, Gilbert. "Set-valued extensions of fuzzy logic classification theorems /." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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16

Zettervall, Hang. "Fuzzy and Rough Set Theory in Treatment of Elderly Gastric Cancer Patients." Licentiate thesis, Karlskrona : Blekinge Institute of Technology, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00489.

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Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley University in 1965. In conventional binary logic a statement can be true or false, and there is no place for even a little uncertainty in this judgment. An element either belongs to a set or does not. We call these kinds of sets crisp sets. In practice we often experience those real situations that are represented by crisp sets as impossible to describe accurately. A two-valued logic assumes that precise symbols must be employed, and it is therefore not applicable to the real existence. If the informati
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17

Abdel-Kader, Magdy G. "Evaluating investment decisions in advanced manufacturing systems : a fuzzy set theory approach." Thesis, University of the West of England, Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362552.

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18

Lin, Kuo-Sui. "A software quality strategy for the development of automatic control systems." Thesis, University of the West of Scotland, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265888.

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19

Tran, Dat Tat, and n/a. "Fuzzy approaches to speech and peaker recognition." University of Canberra. Management & Technology, 2000. http://erl.canberra.edu.au./public/adt-AUC20061109.151916.

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Stastical pattern recognition is the most successful approach to automatic speech and speaker recognition (ASASR). Of all the statistical pattern recognition techniques, the hidden Markov model (HMM) is the most important. The Gaussian mixture model (GMM) and vector quantisation (VQ) are also effective techniques, especially for speaker recognition and in conjunction with HMMs. for speech recognition. However, the performance of these techniques degrades rapidly in the context of insufficient training data and in the presence of noise or distortion. Fuzzy approaches with their adjustable param
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20

Haven, Emmanuel. "The use of fuzzy set theory in economics : applications in micro-economics and finance." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23335.

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This paper attempts to show how fuzzy set theory can be used to weaken some of the stringent, rationality assumptions used in classical micro-economics. The objective of the paper is to see whether by introducing fuzziness we arrive to new results or just only generalizations of classical micro-economic results. We discover that the axiom of completeness is not needed anymore. Using fuzziness will also allow us to better explain the existing gap between delimiting possible choices and making the actual choice. We also introduce the notions of a fuzzy indifference set with a measurable area. Th
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Han, Sedat. "Estimation Of Cost Overrun Risk In Interrnational Project By Using Fuzzy Set Theory." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606032/index.pdf.

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In the global construction market, most construction companies are willing to undertake international projects in order to maximise their profitability by taking advantage of attractive emerging markets and minimise dependence on unfavorable domestic market conditions. In order to be awarded a contract in highly competitive global construction market, companies should excel in choosing the most attractive markets and prepare winning bids for the selected construction projects in those markets. While preparing bids, the major concern of companies is to offer an optimum price that will enable th
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22

Lee, Chang Su. "A framework of adaptive T-S type rough-fuzzy inference systems (ARFIS)." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0192.

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[Truncated abstract] Fuzzy inference systems (FIS) are information processing systems using fuzzy logic mechanism to represent the human reasoning process and to make decisions based on uncertain, imprecise environments in our daily lives. Since the introduction of fuzzy set theory, fuzzy inference systems have been widely used mainly for system modeling, industrial plant control for a variety of practical applications, and also other decisionmaking purposes; advanced data analysis in medical research, risk management in business, stock market prediction in finance, data analysis in bioinforma
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23

Wilson, Duncan John. "Classification of defects using uncertainty in industrial web inspection." Thesis, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286894.

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24

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.

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25

Yeung, Fai Yip. "Developing a Partnering Performance Index (PPI) for construction projects : a fuzzy set theory approach." online access from Digital Dissertation Consortium, 2007. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?3299884.

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26

Ralbovský, Martin. "Fuzzy GUHA." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77047.

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The GUHA method is one of the oldest methods of exploratory data analysis, which is regarded as part of the data mining or knowledge discovery in databases (KDD) scienti_c area. Unlike many other methods of data mining, the GUHA method has firm theoretical foundations in logic and statistics. In scope of the method, finding interesting knowledge corresponds to finding special formulas in satisfactory rich logical calculus, which is called observational calculus. The main topic of the thesis is application of the "fuzzy paradigm" to the GUHA method By the term "fuzzy paradigm" we mean approache
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Hood, William School of Information Library &amp Archive Studies UNSW. "An informetric study of the distribution of bibliographic records in online databases: a case study using the literature of Fuzzy Set Theory (1965-1993)." Awarded by:University of New South Wales. School of Information Library and Archive Studies, 1999. http://handle.unsw.edu.au/1959.4/18184.

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This study investigated the distribution of bibliographic records amongst online bibliographic databases. The topic of Fuzzy Set Theory over the period of 1965 to 1993 was chosen to provide the case study for this investigation. From the DIALOG database host, searches were conducted on 114 databases to determine the number of journal article records relating to the topic of Fuzzy Sets. Both the number of records in each database, as well as the overlap of coverage between the databases were calculated. Six counting techniques were developed to allocate records to databases based on different m
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Butler, Chandre. "THE DEVELOPMENT OF A FUZZY MODEL TO QUANTIFY TRAINING ANDEDUCATIONAL FACTORS AND THE RESULTING IMPACT ON STUDENT SUCCESSAND LEAR." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3638.

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The utilization of fuzzy mathematical modeling for quantification of the quality of training and educational delivery is an innovative application that can result in measurable and repeatable results. This research was designed to apply proven quantification techniques and Industrial Engineering methodologies to a nontraditional environment. The outcomes of this research provide the foundation, initial steps and preliminary validation for the development of a systematic fuzzy theoretical model to be applied for the quantification of various areas within training and education delivery. The tes
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Menacer, Mohamed. "A contribution to the automation of DNA fingerprint analysis." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318646.

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Hill, Carla. "Mass assignments for inductive logic programming." Thesis, University of Bristol, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325748.

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Piggins, Ashley James. "Essays on quasi-orderings and population ethics." Thesis, University of Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324363.

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Bicker, Marcelle M. "A toolkit for uncertainty reasoning and representation using fuzzy set theory in PROLOG expert systems /." Online version of thesis, 1987. http://hdl.handle.net/1850/10294.

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GUO, HAN-JING, and 郭寒菁. "Contingency selection using fuzzy set theory." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/03722877472614246612.

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Jan-Yang, Chen. "convexity with applications to fuzzy set theory." 2000. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611364432.

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Chen, Jan-Yang, and 陳振陽. "convexity with applications to fuzzy set theory." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/07132983064566871041.

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碩士<br>元智大學<br>工業工程研究所<br>88<br>The concept of -convexity and -quasiconvexity for fuzzy sets and fuzzy mappings are introduced and studied. Characterization theorems for these fuzzy sets and fuzzy mappings are established. In addition, the concept of -convex and -quasiconvex fuzzy processes are proposed. Some basic properties for these fuzzy processes are presented.
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Ko, Fu-Jen, and 柯福建. "Application of Fuzzy set Theory on Instrument Measurement." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/48504951447191147778.

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Chang, Lin Jing, and 林敬章. "Applicability of Fuzzy Set Theory in Rainfall Classification." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/29590239638771995409.

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Yuan-Ming, Fan, and 范原鳴. "Fuzzy set theory applied to robot color matching." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/86357222249490247432.

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碩士<br>國立高雄應用科技大學<br>工業工程與管理系碩士在職專班<br>103<br>Rapid developments of high technology and declining birth rates in the worldwide have an influence that intelligent robots have been accelerated to become a part of family life. In order to raise customers’ acceptability of robots, the discussions which only focus on functionality and practicability has been unable to meet market requirements. It becomes more necessary to discuss and to analyze it in a emotional perspective such as shape, texture and color in appearance. It would be beneficial to do market segmentation and to focus on target markets
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Campbell, Paul Francis. "Applications of fuzzy set theory in reservoir operations." Thesis, 1993. http://hdl.handle.net/2429/4914.

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Attempts to maximize benefits from hydroelectric reservoirs with mathematical models have been a focus of study for water resource specialists. As increasingly complex models are developed to more closely imitate reality, their usefulness may paradoxically diminish since reservoir operators are less apt to fully understand the models. This results in a general lack of acceptance of mathematical reservoir models amongst the people they were originally developed to serve. Also, the stochastic nature of modelling a system influenced by climatic and economic factors such as a hydroelectric
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Ho, Hsin-Ni, and 何昕霓. "Topic Identification System Based on Fuzzy Set Theory." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/61638910311497182311.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>90<br>A topic identification system based on the fuzzy set theory is proposed to handle the inherent fuzziness in the human language. This system is self-trained by the training corpus, membership function, and relevance function to construct the characteristic description of each destination and to define the topic identification threshold value. The process of identifying user query’s topic is to calculate the user query’s relevance scores for all destinations. If the largest relevance score is higher than the topic identification threshold value, the
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Kumar, V. S. S. "Application of Fuzzy set theory in construction management." Thesis, 1993. http://localhost:8080/iit/handle/2074/5922.

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Hsieh, Hai-Teh, and 謝海德. "Applications of Fuzzy Set Theory in Bank Credit Policy." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/60981511985628952887.

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碩士<br>元智大學<br>工業工程研究所<br>87<br>Making loans by commercial banks to firms is an important behavior in financial economy. However, when a bank processes a loan business, it also carries some credit risks. Therefore, assessing the loaner’s credit is critical. Traditionally, a bank evaluates a customer’s credit according to “The credit rating standard for lending to enterprises” published by Committee of the Bank of Taipei City. This standard can be divided into the following three categories: 1.Financial condition of the enterprise, 2.Management, and 3.The particular characteristics of the main p
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Cheng, Ya-Yun, and 鄭雅云. "Applications of Fuzzy Set Theory in Supply Chain Management." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/01064259482373604237.

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碩士<br>元智大學<br>工業工程研究所<br>89<br>The study offers a fuzzy linear supply chain model that operates in an uncertain environment. It shows that the external supplier reliability and the external consumer demand are the major factors of the uncertainty. This study uses fuzzy sets to explain the uncertainty of linear supply chain, and its major goal is to determine the order quantities for each inventory in the supply chain, that give an acceptable service level of the supply chain at reasonable total cost (to minimize both holding cost and shortage cost in each stock period). In addition, two con
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Chuang, Tzung-Nan, and 莊宗南. "Application of Fuzzy Set Theory to Flow Shop Scheduling." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/96993382111566312499.

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碩士<br>高雄工學院<br>管理科學系<br>85<br>Scheduling is an important process widely used in manufacturing, production, management, computer science, and so on. It mainly consists of allocating resources to jobs over time under necessary constraints. Appropriate scheduling reduces throughput time and raises the product quality. One kind of scheduling problems that frequently occurs in real-word application environments is the flow shop problems. In a flow shop, jobs are processed by a series of machines
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Huang, Kuo-Liang, and 黃國亮. "The Application of Fuzzy Set Theory in Cluster Analysis." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/15430180225929429017.

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Wang, J. K., and 王京國. "Application Of Fuzzy Set Theory In Rational Slopeland Development." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/87416092032743367902.

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Ling, Yi-Ching, and 林宜慶. "Applying Fuzzy Set Theory to Assess the Learning Degree." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/67257871400010367580.

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碩士<br>大葉大學<br>資訊管理學系碩士在職專班<br>93<br>It is important to consider the difference among students in the process of teaching and learning. In general, the educational tests are usually used to assess the learning performance of each student. For this viewpoint, a suitable assessment method will help the performance evaluation of each student. Using the traditional grading methods to assign grades are of the most common ways of educational evaluation. However, these methods are difficult to assess the learning degree of each student because the subjective judgments of teachers are fuzziness in the
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Chang, YuanPo, and 張淵博. "Application of Fuzzy Set Theory in Actuary —Using Fuzzy Number as an Example." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/38054738551328005371.

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碩士<br>國立高雄第一科技大學<br>保險營運系<br>88<br>This article describes how fuzzy number can be used to distinguish the little difference between every individual insured, which can let insurance pricing be more fairness. Via the method of fuzzification to the interest and mortality, we define a new net premium as form of fuzzy number. Using whole life, term life, endowment, pure endowment and deferred annuity as an example, we conclude that fuzzy number provides an effective method in actuary. Besides, we can optimize profit by controlling alpha-cut.
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"Portfolio selection based on minmax rule and fuzzy set theory." 2011. http://library.cuhk.edu.hk/record=b5894705.

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Yang, Fan.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2011.<br>Includes bibliographical references (p. 100-106).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.iii<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Literature review --- p.1<br>Chapter 1.2 --- The main contribution of this thesis --- p.5<br>Chapter 1.3 --- Relations between the above three models --- p.7<br>Chapter 2 --- Model 1 --- p.9<br>Chapter 2.1 --- Introduction --- p.9<br>Chapter 2.2 --- Minimax rule risk function --- p.11<br>Chapter 2.3 --- Fuzzy liquidity of
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Hui-Yu, Hwang. "COLOR PERCEPTION OF A NATURAL IMAGE BY FUZZY SET THEORY." 1993. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-0112200611355196.

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