Browsing Theses and Dissertations by Author "Yao, Yiyu"

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Browsing Theses and Dissertations by Author "Yao, Yiyu"

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  • Zhou, Bing (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
    Bayesian inference and rough set theory provide two approaches to data analysis. There are close connections between the two theories as they both use probabilities to express uncertainties and knowledge about data. ...
  • Zhai, Yuanyuan (Faculty of Graduate Studies and Research, University of Regina, 2014-12)
    Environmental planning is becoming a key component in environmental management due to rapid socio-economic development and steadily increasing population. In real-world applications, uncertainties and complexities are ...
  • Teye, George Kwesi (Faculty of Graduate Studies and Research, University of Regina, 2013-12)
    The two-parameter crack lifetime distribution had led to the development of the three-parameter crack lifetime distribution. The developments has been a very use- ful and e ective tool in statistical analysis in conjunction ...
  • Luo, Jigang (Faculty of Graduate Studies and Research, University of Regina, 2013-08)
    Granular computing is an emerging field of study that derives general principles and models from a wide range of disciplines and uses these principles and models to solve problems. One basic structure in granular computing ...
  • Fan, Gaojian (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
    In computational learning theory, concepts are subsets of a set of instances and a concept class is a set of concepts. In many computational learning models, learning algorithms have the goal to identify the target concept ...
  • Yan, Wen (Faculty of Graduate Studies and Research, University of Regina, 2013-06)
    Bayesian networks are a semantic modeling tool for managing uncertainty in complex domains. While the numerous techniques for exact inference vary when they apply the multiplication and marginalization (addition) operators, ...
  • Dosselmann, Richard Wayne (Faculty of Graduate Studies and Research, University of Regina, 2012-07)
    Image quality assessment is a very challenging problem in image processing. Most image quality metrics are currently based on super cial variations in pixel values, perceptual models and structural changes. As well, most ...
  • Fu, Lei (Faculty of Graduate Studies and Research, University of Regina, 2015-01)
    The grid-based Eulerian methods have dominated the CFD (Computational Fluid Dynamics) for decades due to its simplicity. The grids not only used for discretize the simulation domain but also used for the computation, ...
  • Azam, Nouman (Faculty of Graduate Studies and Research, University of Regina, 2014-12)
    Rough set theory and game theory provide two approaches for analyzing and assisting decision making. Rough set theory provides the ability to make decisions with incomplete and insuffcient information. On the other hand, ...
  • Fu, Rong (Faculty of Graduate Studies and Research, University of Regina, 2012-10)
    Rough set theory offers a mathematical approach to data analysis and data mining. It can be used to learn classification rules that define classes of a classi- fication based on some well defined concepts. The fundamental ...
  • Chen, Xuguang (Faculty of Graduate Studies and Research, University of Regina, 2014-04)
    Rough decision tables were originally proposed by Pawlak. The hierarchies of probabilistic decision tables (the hierarchies), defined in the context of Variable Precision Rough Set Theory (VPRS model), generalized this ...
  • Hu, Mengjun (Faculty of Graduate Studies and Research, University of Regina, 2014-10)
    Rough set theory is widely used in many areas, such as artificial intelligence, machine learning and data mining. Lower and upper approximations are two fundamental notions for concept analysis with rough set theory. In ...
  • Deng, Xiaofei (Faculty of Graduate Studies and Research, University of Regina, 2015-03)
    In 1982, Pawlak proposed a theory of rough sets for data analysis. A fundamental concept of rough sets is the approximation of a set by a pair of lower and upper approximations or three pair-wise disjoint positive, ...

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