Fuzzy Data Management Research Articles

Management Of Fuzzy Data In Education

Management Of Fuzzy Data In Education

An Object-Oriented Approach of Keyword Querying over Fuzzy XML

As the fuzzy data management has become one of the main research topics and directions, the question of how to obtain the useful information by means of keyword query from fuzzy XML documents is becoming a subject of an increasing needed investigation. Considering the keyword query methods on crisp XML documents, smallest lowest common ancestor (SLCA) semantics is one of the most widely accepted semantics. When users propose the keyword query on fuzzy XML documents with the SLCA semantics, the query results are always incomplate, with low precision, and with no possibilities values returned. Most of keyword query semantics on XML documents only consider query results matching all keywords, yet users may also be interested in the query results matching partial keywords. To overcome these limitations, in this paper, we investigate how to obtain more comprehensive and meaningful results of keyword querying on fuzzy XML documents. We propose a semantics of object-oriented keyword querying on fuzzy XML documents. First, we introduce the concept of tree, analyze different types of matching object and find the minimum object trees which contain all keywords and result object trees which contain partial keywords. Then an object-oriented keyword query algorithm ROstack is proposed to obtain the root nodes of these matching object trees, together with their possibilities. At last, experiments are conducted to verify the effectiveness and efficiency of our proposed algorithm.

Storing and querying fuzzy XML data in relational databases

Information imprecision and uncertainty exist in many real-world applications and for this reason fuzzy data management has been extensively investigated in various database management systems. Currently, introducing native support for XML data in relational database management systems (RDBMs) has attracted considerable interest with a view to leveraging the powerful and reliable data management services provided by RDBMs. Although there is a rich literature on XML-to-relational storage, none of the existing solutions satisfactorily addresses the problem of storing fuzzy XML data in RDBMs. In this paper, we study the methodology of storing and querying fuzzy XML data in relational databases. In particular, we present an edge-based approach to shred fuzzy XML data into relational data. The unique feature of our approach is that no schema information is required for our data storage. On this basis, we present a generic approach to translate path expression queries into SQL for processing XML queries.

Tools for fuzzy random variables: Embeddings and measurabilities

The concept of fuzzy random variable has been shown to be as a valuable model for handling fuzzy data in statistical problems. The theory of fuzzy-valued random elements provides a suitable formalization for the management of fuzzy data in the probabilistic setting. A concise overview of fuzzy random variables, focussed on the crucial aspects for data analysis, is presented.

Gaussian processes and martingales for fuzzy valued random variables with continuous parameter

Abstract The purpose of this paper is to discuss fuzzy valued Gaussian processes and martingales with continuous parameter. We mainly obtain a representation theorem for fuzzy valued Gaussian processes after proving a new embedding theorem. Based on previous results about set valued and fuzzy valued martingales (cf. [S. Li, Y. Ogura, J. Fuzzy Math. 4 (1996) 905; S. Li, Y. Ogura, Fuzzy Sets and Systems 101 (1999) 453; S. Li, Y. Ogura, Ann. Probab. 26 (1998) 1384–1402; S. Li, Y. Ogura, in: Proc. IFSA '97, vol. 4, 1997, pp. 9–13; S. Li, Y. Ogura, in: C. Bertoluzza, M.A. Gil, D.A. Ralescu (Eds.), Statistical Modeling, Analysis and Management of Fuzzy Data, Physica (in press); Y. Ogura, S. Li, Fuzzy Sets and Systems (in press)]), we prove optional sampling theorems for set valued and fuzzy valued martingales with continuous parameter.