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Rozprawy doktorskie na temat „Rough Set Theory (RST)”

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Data publikacji: 3 czerwca 2025

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Liu, Yongwen. "Cloud services selection based on rough set theory." Thesis, Troyes, 2016. http://www.theses.fr/2016TROY0018/document.

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Avec le développement du cloud computing, de nouveaux services voient le jour et il devient primordial que les utilisateurs aient les outils nécessaires pour choisir parmi ses services. La théorie des ensembles approximatifs représente un bon outil de traitement de données incertaines. Elle peut exploiter les connaissances cachées ou appliquer des règles sur des ensembles de données. Le but principal de cette thèse est d'utiliser la théorie des ensembles approximatifs pour aider les utilisateurs de cloud computing à prendre des décisions. Dans ce travail, nous avons, d'une part, proposé un cad

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Shahabi, Lotfabadi Maryam. "Using rough set theory to improve content based image retrieval system." Thesis, Shahabi Lotfabadi, Maryam (2016) Using rough set theory to improve content based image retrieval system. PhD thesis, Murdoch University, 2016. https://researchrepository.murdoch.edu.au/id/eprint/33675/.

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Each image in a Content Based Image Retrieval (CBIR) system is represented by its features such as colour, texture and shape. These three groups of features are stored in the feature vector. Therefore, each image managed by the CBIR system is associated with one or more feature vectors. As a result, the storage space required for feature vectors is proportional to the amount of images in the database. In addition, when comparing the similarities among images, the CBIR needs to compare these feature vectors. Nonetheless, researchers are still facing problems when working with a huge image datab

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Andersson, Robin. "Implementation av ett kunskapsbas system för rough set theory med kvantitativa mätningar." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1756.

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<p>This thesis presents the implementation of a knowledge base system for rough sets [Paw92]within the logic programming framework. The combination of rough set theory with logic programming is a novel approach. The presented implementation serves as a prototype system for the ideas presented in [VDM03a, VDM03b]. The system is available at "http://www.ida.liu.se/rkbs". </p><p>The presented language for describing knowledge in the rough knowledge base caters for implicit definition of rough sets by combining different regions (e.g. upper approximation, lower approximation, boundary) of other de

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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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Zhang, Xueying. "Rough set theory based automatic text categorization and the handling of semantic heterogeneity." Bonn Informationszentrum Sozialwiss, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2704442&prov=M&dokv̲ar=1&doke̲xt=htm.

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Zhou, Xujuan. "Rough set-based reasoning and pattern mining for information filtering." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/29350/1/Xujuan_Zhou_Thesis.pdf.

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An information filtering (IF) system monitors an incoming document stream to find the documents that match the information needs specified by the user profiles. To learn to use the user profiles effectively is one of the most challenging tasks when developing an IF system. With the document selection criteria better defined based on the users’ needs, filtering large streams of information can be more efficient and effective. To learn the user profiles, term-based approaches have been widely used in the IF community because of their simplicity and directness. Term-based approaches are relativel

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Zhou, Xujuan. "Rough set-based reasoning and pattern mining for information filtering." Queensland University of Technology, 2008. http://eprints.qut.edu.au/29350/.

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An information filtering (IF) system monitors an incoming document stream to find the documents that match the information needs specified by the user profiles. To learn to use the user profiles effectively is one of the most challenging tasks when developing an IF system. With the document selection criteria better defined based on the users’ needs, filtering large streams of information can be more efficient and effective. To learn the user profiles, term-based approaches have been widely used in the IF community because of their simplicity and directness. Term-based approaches are relativel

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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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Griffiths, Benjamin. "Variable precision rough set theory decision support system : with an application to bank rating prediction." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/55175/.

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This dissertation considers, the Variable Precision Rough Sets (VPRS) model, and its development within a comprehensive software package (decision support system), incorporating methods of re sampling and classifier aggregation. The concept of /-reduct aggregation is introduced, as a novel approach to classifier aggregation within the VPRS framework. The software is applied to the credit rating prediction problem, in particularly, a full exposition of the prediction and classification of Fitch's Individual Bank Strength Ratings (FIBRs), to a number of banks from around the world is presented.

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Zielosko, Beata. "Construction and optimization of partial decision rules." Doctoral thesis, Katowice : Uniwersytet Śląski, 2008. http://hdl.handle.net/20.500.12128/5094.

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Tematyka pracy związana jest z badaniem algorytmów zachłannych dla konstruowania i optymalizacji częściowych (przybliżonych) reguł decyzyjnych. Przedstawione w pracy badania dotyczące częściowych reguł decyzyjnych opierają się na wynikach badan uzyskanych dla problemu częściowego pokrycia zbioru. Zostało udowodnione, ze biorąc pod uwagę pewne założenia dotyczące klasy NP, algorytm zachłanny pozwala uzyskać wyniki, bliskie wynikom uzyskiwanym przez najlepsze przybliżone wielomianowe algorytmy, dla minimalizacji długości częściowych reguł decyzyjnych oraz minimalizacji całkowitej wagi atrybutów

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Chen, Tai-Ji, and 陳泰吉. "Rough Set Theory in Electricity Load Forecasting." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/43099887067325429949.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>95<br>In this paper, we built an electric power loading forecasting system to predict the percentages of electric consumptions in the future by using rough set theory (RST). How to dispatch electricity to appropriate place effectively to increase the efficiency of electric transportation and reduce reaction time of equipments will be an important object for workmen in electric factories. A superior forecasting system can provide not only precise results but a high quality environment of electric consumptions for compatriots. Feature selection is a valuable technique

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Shen, Ming-huei, and 沈明蕙. "Applying rough set theory in characteristics of accident." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/18806444155290372610.

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碩士<br>國立中央大學<br>土木工程研究所<br>95<br>Traffic accidents rose from 2001 to 2005. For example, 155,814 traffic accident in 2005 did not include they compromised or took medical treatment by themselves. Therefore, the number of casualties caused more than national police agency, ministry of the interior published data. Incomplete and ambiguous data of traffic accidents accord with rough set theory concept. The study use rough set theory to analyze the characteristics and rules of accidents to national police agency, ministry of the interior in 2005. Rough set theory can remove the redundant records,

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Chang, Pei-wei, and 張培瑋. "Forecasting the Exchange Rate by Rough Set Theory." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/40139761921220624958.

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碩士<br>朝陽科技大學<br>財務金融系碩士班<br>98<br>Because of the global liberalization of international trade, fund between nations flows more frequently day by day. Besides, after the collapse of Bretton Woods Agreement, many countries had given up the fixed exchange rate system and used the floating exchange rate system instead. Under the floating exchange rate system, the prediction of actual exchange rate becomes uncertainty. Therefore, if one could fully understand and control the factors that caused the exchange rate movements, we would able to reduce the losses caused by exchange rate fluctuations and

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Ho, Yu-Shien, and 何育賢. "Increment Attributes set Reduction Algorithm of Information System Based on Rough Set Theory." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/42260286553352513507.

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碩士<br>亞洲大學<br>資訊工程學系碩士在職專班<br>98<br>With regard to amplified dynamic reduction algorithm, previous studies by scholars (Liu Zongtian, 1999; Chen Yunhua, Ye Dongyi, 2002; Li Yinhua, Li Deyu and Zhang Jifu, 2004) had focused on object increment without taking attribute increment into consideration. Only the “test questions of amplified dynamic reduction algorithm based on rough theory” published by Liu Hsiang Chuan, Kuo Chao-Lin and Chen Jia Chin (2009) had taken the attribute increment into account. They proposed the test questions of amplified dynamic reduction algorithm that can be applied no

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陳佳祺. "Applying the Rough Set Theory and Genetic Algorithm into Clustering." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/00148119758115859639.

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碩士<br>國立彰化師範大學<br>資訊管理學系所<br>96<br>Clustering has always been an important technique in Data Mining and applied in various domains. However, the nature of clustering has some difficulties, such as it is an NP-Hard work, and has to decide the number of clusters first. If we can apply the constraints to be the indexes in the process of clustering, it can promote the clustering more effective and get much better quality. So, the Constrained Clustering is an emerging study in a few years which applies the constraints to the process of clustering to decrease the running time and cost to expectantly

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Li, Kuan-Hsien, and 李冠賢. "Applying the Rough Set Theory into the Case-based reasoning." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/17882211186347550608.

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碩士<br>國立彰化師範大學<br>資訊管理學系所<br>96<br>The relevant historical information will all be written down in the database systematically to help user make a decision in the future because the information technology’ helping. And the globalization e-commerce can offer plentiful and large relevant information to be a basis for user while making a decision. But in this situation, it is easy to make user overload contrarily. Therefore, it is a worth topic that how to help user to obtain the method to solve the problem quickly and efficiently from a large number of the complicated information in the past. Th

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Chang, Jin-He, and 張晉赫. "Fuzzy Rough Set Theory and its Application for Database Marketing." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/55345139412312189102.

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碩士<br>南華大學<br>資訊管理學研究所<br>92<br>In the drastic competition environment, it is an important task that the enterprise must give different marketing strategies based on the different targeting customers to raise its competitive advantages. In the present market, the marketing strategy of the sale by merchandise combination is in widespread use by the enterprise. The enterprise can gain a lot of profit from recommending the relevant merchandise combinations to the targeting customer to promote the consumption desire of the customers. With the help of the knowledge discovered from the databases, th

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Chang, Wen-Chun, and 張文俊. "The Classification and Selection of Suppliers Using Rough Set Theory." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/83684509629919410407.

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碩士<br>國立成功大學<br>工業與資訊管理學系碩博士班<br>94<br>Facing with the globalization and intense competition, enterprises apply Supply Chain Management (SCM) to reduce costs, raise profits, and gain the business competitive advantages in the world market. In performing SCM, the first step is to select the suitable supplier from a number of supplier candidates for meeting the company’s needs. Then the company can establish a firm-supplier relationship to design the SCM process together. Therefore, the data collection and analysis of supplier candidates are very important prior to supplier selection. In addi

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Liou, Wei-Siang, and 劉威翔. "Extracting the rules of student achievements using Rough Set theory." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/62035354406631189996.

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碩士<br>雲林科技大學<br>資訊管理系碩士班<br>97<br>The important period of students for training their study habits and personality is elementary school stage. In order to find the related impact factors of student achievement, and achieve a balanced development for moral, intellectual, physical, social and aesthetic. Therefore, parents and teachers must improve the learning conditions in which children can have the more balanced development. This dissertation uses scientific methods to validate the generalized rules which can provide decision makers as a reference and make the principle of education. In t

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Crossingham, Bodie. "Using optimisation techniques to granulise rough set partitions." Thesis, 2009. http://hdl.handle.net/10539/5967.

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Rough set theory (RST) is concerned with the formal approximation of crisp sets and is a mathematical tool which deals with vagueness and uncertainty. RST can be integrated into machine learning and can be used to forecast predictions as well as to determine the causal interpretations for a particular data set. The work performed in this research is concerned with using various optimisation techniques to granulise the rough set input partitions in order to achieve the highest forecasting accuracy produced by the rough set. The forecasting accuracy is measured by using the area under the

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Wang, Tzu-Ting, and 王姿婷. "Knowledge Acquisition from Quantitative Data Based on the Rough Set Theory." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/39513042128025701392.

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碩士<br>義守大學<br>資訊工程學系<br>88<br>Expert systems have been widely used in domains where mathematical models cannot be easily built, human experts are not available or the cost of querying an expert is high. Machine learning or data mining can extract desirable knowledge or interesting patterns from existing databases and ease the development bottleneck in building expert systems. The rough-set theory, proposed by Pawlak in 1982, can serve as a new mathematical tool to deal with data classification problems. It adopts the concepts of equivalence classes to part'ition the training instances accordin

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Lai, Yung-Huan, and 賴泳寰. "Apply Genetic Algorithm and Rough Set Theory into the Patents Composition." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/01520096439488468557.

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碩士<br>國立彰化師範大學<br>資訊管理學系所<br>97<br>Patents is represented the technical capabilities and developed strategies of enterprises. In the competed marketing, enterprises can use patents protecting the product and curbing their competitors. According to the report of World Intellectual Property Organization indicated that there are 90% to 95% developed achievements in the manuals of patents. Enterprises not only shorten about 60% time but also save 40% costs of development, hence manuals for researchers of products is very important. In addition, government pay much attention to intellectual propert

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Tang, Hung Hsien, and 洪憲堂. "The Key Determinants of Corporate Social Responsibilities : Rough Set Theory Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/y24897.

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碩士<br>開南大學<br>會計學系<br>103<br>This paper From a negative point of view of Corporate Social Responsibility（CSR.） determinants, using the Rough Sets Theory（RST）from a data set of firms listed in Taiwan Stock Exchange market. An empirical way to explore the correlation between condition attributes that contains corporate idiosyncratic, corporate governance, corporate performance, ample resources and Corporate Social Responsibility. The results show: foreign ownership, liquidity ratio, the ratio of shareholding managers, directors and supervisors share pledge rate, systemic risk and growth conditio

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Lee, wanyun, and 李琬雲. "Applying Rough Set Theory in International Civic and Citizenship Education Study." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/85002130381082293431.

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碩士<br>國立暨南國際大學<br>教育政策與行政學系<br>99<br>Due to the diversification of the society and the rising civic ideologies of the public, civic education plays a very crucial role nowadays. Every society gets citizens’ own specialized structure and political system. In order to promote participation in public affairs, it is important to address more concerns on how to raise the civic action and attitude. Therefore, a suitable civic education is required to fit the action to the world in the future,which will be a foundation for a stable and more developmental society. This research is based on the Civic

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Cheng, Shih-Tsung, and 鄭世宗. "A Rough Set Theory Based MCDM Model for Stock Market Forecasting." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/78021521675403658347.

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碩士<br>開南大學<br>財務金融學系<br>97<br>The predictions of stock market trends are regarded as one of the most important task for investors. However, investors always have problems to predict future stock market and make investment decisions correctly. Therefore, this research intends to establish a stock market indicators prediction framework by using a multiple criteria decision making (MCDM) model consisting of the Delphi method, the cluster analysis (CA) technique and the Rough Set theory (RST) to select the important attributes and forecast Taiwan Electronics Sub-Index (TELI). Ten macroeconomic ind

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Hsu, Chan-Shuo, and 許展碩. "A Hybrid Evolutionary Computing: Genetic Algorithm Incorporated with Rough Set Theory." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/99338240258496430722.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>92<br>The evolutionary computing (EC) comprises techniques of evolutionary programming, evolution strategies, genetic algorithms, and genetic programming. It has been widely used to solve optimization problems for large scale and complex systems. However, (i) without incorporating with sufficient knowledge, it does have a significant impact on the efficiency of the search for an optimal solution. (ii) In addition, the genetic algorithm in previous literatures is modeled to solve one problem exactly. It is required redesign cost for GA to apply to another problem. Du

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Liu, Shu-Hsien, and 劉淑賢. "A Novel Approach to Lean Control Incorporated with Rough Set Theory." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/49048723458635269456.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>92<br>The Lean control approach has been successfully applied to reduce waste and improve customer service in many areas. Although numerous models have been developed to overcome its limitations, such as determining unnecessary moving, unnecessary inventory, and redundant transportation, they do not, however, identify focused stages in which to start lean control. In this study, after using value stream mapping (VSM) to show the current state of manufacturing processes, rough set theory is adopted and aims at identifying types of focused stages, where lean control i

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Huang, Kuo-Min, and 黃國閔. "Realizing Rough Set Theory with Spark for Large Scale Information Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/14274642376799824073.

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碩士<br>元智大學<br>電機工程學系<br>104<br>Apache Spark, an alternative to Hadoop MapReduce, is currently one of the most active open source projects in the big data world. The major characteristic to differ Spark from Hadoop is that it is a cluster computing framework that lets users perform in-memory computations, which catches data in memory during iterations, in a fault tolerant manner. Supporting iterative algorithms out of the box, Spark has been adopted by many organizations to replace MapReduce. One of the main advantages of rough set models is that they require no preliminary or additional inform

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Li-Huei, Tseng, and 曾莉惠. "Learning Rules from Incomplete Data Based on the Rough Set Theory." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/34782780113736444699.

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碩士<br>義守大學<br>資訊工程學系<br>90<br>Machine learning and data mining techniques can extract desirable knowledge from existing databases or training instances to ease the development bottleneck in building expert systems or help supervisors make decisions. In the past, most learning or mining methods deal with complete data sets. Real applications are, however, full of incomplete data sets. The rough-set theory, proposed by Pawlak in 1982, can serve as a new mathematical tool to deal with data classification problems. It adopts the concepts of equivalence classes to partition the training instances a

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Shih, Li-Jiun, and 石麗君. "Extracting the KPI of Automobile Parts Manufacture Using Rough Set Theory." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/18351100780299933554.

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碩士<br>雲林科技大學<br>資訊管理系碩士班<br>98<br>In order to cut down cost and improve equipment throughput, manufacturing is more and more automatically in operation equipment. How to provide more effective use in equipment becomes a very import issue in manufacturing. It also hopes to find out the most important key related factors of throughput. Therefore, this paper proposed a procedure to extract the rule of key performance indicator (KPI) by rough set theory in automobile industry This paper practically collects manufacturing supplier dataset in auto parts industry. The dataset includes production rec

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Li, Lan-Lin, and 李藍琳. "Using ADABOOST and Rough Set Theory for Predicting Debris Flow Disaster." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/51291240150030747522.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>101<br>Debris flow resulting from typhoons, heavy rainfall, tsunamis or other natural disasters is a matter of particular importance to Taiwan owing to the country’s unique geographical environment and exacerbated by poor slope management and global warming. With regard to these types of natural occurrences, recent global events have attracted the attention of experts in various fields, such as civil engineering, environmental engineering and information management. These experts have developed several techniques to study the various factors of debris flow. The ADAB

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SHIH, JHAO-LONG, and 施兆隆. "Mining Association Rules in Distributed Systems with the Rough Set Theory." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ub4y26.

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碩士<br>東吳大學<br>資訊管理學系<br>106<br>Mining Association rule is a technology that can find out the correlation between products from the transaction database, and useing the items which customer purchased, the enterprise can summarize the customer's habit, and then implement the appropriate marketing strategy. However, because of the increasing amount of data, in order to improve the speed of data mining, the technology of distributed database exploration is gradually valued by enterprises. This study proposes a method of distributed mining association rules call ApRoughSet algorithm, through the di

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Mpanza, Lindokuhle Justice. "A rough set approach to bushings fault detection." Thesis, 2012. http://hdl.handle.net/10210/4955.

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M. Ing.<br>Fault detection tools have gained popularity in recent years due to the increasing need for reliable and predictable equipments. Transformer bushings account for the majority of transformer faults. Hence, to uphold the integrity of the power transmission and dis- tribution system, a tool to detect and identify faults in their developing stage is necessary in transformer bushings. Among the numerous tools for bushings monitoring, dissolved gas analysis (DGA) is the most commonly used. The advances in DGA and data storage capabilities have resulted in large amount of data and ultimate

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Cheng-Jung, Huang, and 黃正榮. "Research on Firms Engaged in Tax Planning Behavior of Rough Set Theory." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/26850317075972024592.

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碩士<br>開南大學<br>會計學系<br>103<br>The past literatures have investigated the impact factors of tax planning behavior, however, most study was confined to the traditional multi-regression analysis. This paper aims to find out the impact factors of tax planning through literature review, including the firm size, return on assets, debt ratio, R & D intensity, depreciation expenses, etc. A total of 24 variables as condition attributes used in this study. In addition, this paper used Book-Effective tax rate, the effective tax rate of cash tax-paid, Book-Tax Differences and Permanent Book-Tax Differences

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LIOU, WAN-LIN, and 劉旺林. "Manufacturing Process Monitoring and Diagnosis Using Neural Networks and Rough Set Theory." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/70702955034052808896.

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碩士<br>國立雲林科技大學<br>工業工程與管理研究所碩士班<br>89<br>Under the impact of quickly environmental changes of network economy ages, the manufacturing industry has to build up a better manufacturing system based on computer network, in order to meet the requirement of markets and respond quickly to markets. To build up the manufacturing system under the computer network environment will become one of the most urgent tasks that manufacturing industry will face in the near future, and will be the key factor that the company becomes competitive in market. This research makes use of the network techniqu

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李昆鴻. "Diagnosis of Medical Image - Application of Rough Set Theory and Neural Network." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/33453518206430196132.

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碩士<br>東海大學<br>工業工程學系<br>91<br>Nuclear medicine is a specialty that uses radioactive substance in the diagnosis and treatment of diseases. In contrast to other conventional imaging procedures, nuclear medicine imaging is unique in that it can provide both functional and structural Information of an organ simultaneously. In this study, we propose a new system that diagnoses the polar bull’s eye images based on nuclear medicine, combining rough set theory and neural network. We can get reduced patients’ textual table, which implies that the number of evaluation criteria is reduced with

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Kai-Yuan, Cheng, and 鄭凱元. "Using Two Stage For Financial Crisis PredictionModel Based On Rough Set Theory." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/70840631102120971282.

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碩士<br>中國文化大學<br>會計學系<br>99<br>By the overall economic environment change fast, the enterprise whose possibility of financial crisis is increased year by year. Therefore, to build a forecasting model of financial crisis is the important subject currently. Forecasting model used in many ways on, but the old model of forecasting model, often only a single feature selection methods, with classification, rarely use the results of multiple classification models were compared with each other, so this study uses rough sets theory of feature selection, and using traditional method and data mining metho

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Hui-Yu, Hsu, and 許惠渝. "Apply Genetic Algorithm and Rough Set Theory into the CloudERP Composition Selection." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/13976836707296007222.

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碩士<br>國立彰化師範大學<br>資訊管理學系所<br>99<br>Cloud computing not only urges the application of Web services, but also develops the other view of ERP. Through the design standard of Web services, the enterprise won`t see ERP as a package software, but a system which is combined with different function models and suppliers, and contains the computing ability and manage service, so that the enterprise would get the advantages: easy to use and reduce the cost. Therefore, this research creates a new idea of ERP that the enterprise can order ERP on Cloud platform called CloudERP. But how to help the enterpris

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Hsieh, Ying-Ling, and 謝英琳. "A Decremental Alternative Rule Extract Algorithm Based on the Rough Set Theory." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/36087342069498554235.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>99<br>Data mining that explores useful information and helpful knowledge from large databases has evolved into an important research area in recent years. A dynamic database is a common type in many business databases, and the data deletion operations that are also frequently used in database management activities. Unfortunately, most existing data-mining algorithms assume that the database is static, and updating a database requires to re-compute all the patterns by scanning the updated database after deleting data for data mining and rule extraction. The decrement

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Hsu, Chih-Hua, and 許芝華. "An Incremental Alternative Rule Extract Algorithm Based on the Rough Set Theory." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/07500502759472592370.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>98<br>Rough set theory, proposed by Pawlak in 1982 can be seen as a new mathematical approach to vagueness. It is capable of discovering important facts hidden in that data. However, previous literature indicated these rough set approaches cannot guarantee that the classification of a decision table is credible. Therefore, Tseng (2006) proposed the REA (Rule-Extraction Algorithm) to solve the problem. But the desired reducts are not necessarily unique since several reducts could include the same value of SI. Thus, Tseng (2008) proposed AREA (Alternative Rule Extract

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Wang, Yung-Hsiang, and 王永翔. "Rule Simplification for a Bus Operations FuzzyExpert System Using Rough Set Theory." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/02229849490203177194.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>95<br>A method of bus schedule affects bus company ‘s pay、operation、maintain. A useful bus operations must be established, let bus company have the most benefit in operation. Structuring a fine bus operations that must be established by experience schedule member. Operating by computer system and reacting quickly. Bus operations is a bus extra dispatch vehicles system. Whether dispatch vehicle or not. It is decided by human. This mission be done by experience schedule member. If schedule member is too young , then the schedule accuracy is not high. So we must esta

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Liang, Devin, and 梁丁文. "Knowledge Learning and Discovery in Clinical Databases Based on Rough Set Theory." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/09737344722730471207.

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碩士<br>國立清華大學<br>資訊科學學系<br>81<br>Knowledge Learning and Discovery(KDD) plays an important role in varities of rapid growinglarge databases. The main interest of this researchis to learn and discover implicit implicative knowledge in clinical databases. Knowledge of databases can be extracted from dependency relationships and clustering patterns. Real world databases with vast amounts of growing data normally contain noise and missing values that make knowledge implied in databases generally

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wei, LO jun, and 羅均緯. "Using Rough Set Theory to Forecast the Injury Severity of Traffic Accidents." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/87ad75.

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碩士<br>南台科技大學<br>國際企業系<br>93<br>Data mining has an excellent performance in dealing with a mass of data classification and prediction, according to the scholar studies before. Nevertheless, data mining is not a general method in transportation safety field, but multinomial logic model is one of the methods. In spite of this, when we use multinomial logic model to select the variable, it will result prediction biases or missing important information. Hence, this research uses the Rough set theory, a nonparametric statistic method that different from other general statistic method. This method wa

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王林鑛. "Apply Genetic Algorithm and Rough Set Theory into the Web Services Composition." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/11848830142623535022.

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碩士<br>國立彰化師範大學<br>資訊管理學系所<br>95<br>Web services are being adopted, more and more, as a viable means of accessing Web-based applications. Web services are not only used to exchange information between enterprises but also help software developers to provide value-add services for various demands. At present, there is a trend towards deploying business processes as composite Web services, known as Web services compositions. Web services compositions are synthesized by researchers from elementary web services, offering the opportunity for service providers and application developers to create val

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Wang, Ssu-Hsiang, and 王思翔. "Extracting the Rules of Hemodialysis Quality using Granularity–based Rough Set Theory." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43888679553984651252.

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碩士<br>雲林科技大學<br>資訊管理系碩士班<br>98<br>End stage renal disease (ESRD) refers to kidney disease has reached a serious stage. Dialysis is life saving for person who have terminal kidney failure, but these costs usually too much for those patients. So it is important to improve the effect and reduce the costs of dialysis. Data mining usually discoveries the useful information from a large database then use statistical and logical analysis looking for patterns that could help the decision makers. In order to verify the performance of proposed procedure in this study, collect the real dialysis data from

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賴佩君. "The application of grey system、fuzzy theory and rough set theory on contingent portfolio insurance strategies." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/20432606742208655197.

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CHEN, WEI-HONG, and 陳威宏. "Applying rough set theory to analyze the determinants of R&D expenditure." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/18248948870739381595.

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碩士<br>開南大學<br>會計學系<br>104<br>There are many factors in the past literatures analyzing the determinants of R & D expenditures, however, the traditional multi-regression analysis is less satisfactory. A critical review of the empirical literature finds out many company characteristics and corporate governance affecting R & D expenditures. The determinants of R & D may include income, profitability, quick ratio, short-term investments, growth opportunities, firm scale, set up time, export ratio, industrial properties, debt ratio, insider ownership, foreign ownership, managerial compensation, inde

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Chen, Jia-Jen, and 陳家蓁. "Two item reduction algorithms of Item Response System based on rough set theory." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/72563418727246089838.

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碩士<br>國立臺中教育大學<br>教育測驗統計研究所<br>98<br>In this paper, a new information system about Item Response Theory is proposed. Two improved attribute reduction algorithms based on Skowron’s discernible matrix for rough set theory were used to analyses item reduction problem for Item Response system of educational testing.

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Lee, Fei-Yi, and 李飛毅. "Analysis of Enterprise Financial Crisis by Rough Set Theory and Support Vector Machines." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/63918715410423968964.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>98<br>From the end of 2007 the U.S. sub-prime mortgage crisis triggered a first wave of financial tsunami until now; this had a significant impact on financial economy. Correctly analyzing and forecasting the financial crisis is more important. The investigation provides two instructions for researchers and executives. The investors adopted RELIEF method and support vector machine as an early warning system. Sequentially, rough set theory is used to identify informative information and decision rules for managers to improve the financial situations. The results show

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Huang, Yung-Ting, and 黃雍婷. "Using Rough Set Theory to Construct Decision-Making Knowledge Base for Ammunition Management." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/98796181235252862072.

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碩士<br>國防管理學院<br>資源管理研究所<br>95<br>Often, the information on the surrounding world is imprecise, incomplete or vague; Rough Set Theory (RST) is a new mathematical approach for data discovery. It is able to deal with uncertain or incomplete information and find out the inexact knowledge. Many specific military goods, for instance, ammunition and explosives, are full of potential danger. While the risk of loss and diversion, unsafe ammunition stocks occurs, the scales of the risks they pose are significant. Initial studies show that a substantial physical risk exits to communities from the presenc

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