The term “fuzzy sets” has been introduced to describe, in precise mathematical terms, the
ambiguities and uncertainties inherent in many real-world pattern recognition and …

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Rough set theory has become well-established as a mechanism for uncertainty
management in a wide variety of applications including databases. This paper addresses …

In this study of mining stock price data, we attempt to predict the stronger rules of stock
prices. To address this problem, we proposed an effective method, a fuzzy rough set system …

The aim of data base management system designers is to provide the user with the ability to
store data that can be used in deriving information satisfying the user's information needs …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

The paper presents a new method for fuzzy query translation based on the/spl alpha/-cuts
operations of fuzzy numbers. This proposed method allows the retrieval conditions of SQL …

The fuzzy relational model of Buckles and Petry is a rigorous scheme for incorporating non-
ideal or fuzzy information in a relational database. In addition to providing a consistent …

In this paper, we are interested in mining the data with natural ordering according to some
attributes, and the time series data is one of this kind of data. The problem of mining the time …

Text Retrieval and Filtering: Analytical Models of Performance is the first book that
addresses the problem of analytically computing the performance of retrieval and filtering …