Rough Sets and Multisets in a Model of Information Retrieval

Due to the diffusion of multimedia databases and new ways of communication, there is an urgent need for developing more effective search systems capable of retrieving information by specifying directly in user queries elements strictly related to the multimedia content. This is the main rationale behind the flourishing area of Content-Based Multimedia Information Retrieval (CB-MIR), that finds in Soft Computing (SC) techniques a valid tool to handle uncertainty and vagueness underlying the whole information retrieval process. The main reason for this success seems to be the synergy resulting from SC paradigms, such as fuzzy logic, neural networks, rough sets and genetic algorithms. Each of these computing paradigms provides complementary reasoning and searching methods that allow the use of domain knowledge and empirical data to solve complex problems. In this chapter, the authors emphasize the potential of SC techniques, also combined in hybrid schemes, for the development of effective CB-MIR systems. As an example, the authors describe a content-based image retrieval system that employs SC techniques in its working scheme.

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Research of information retrieval method based on fuzzy rough sets theory

2008 IEEE International Conference on Granular Computing ◽

10.1109/grc.2008.4664675 ◽

2008 ◽

Author(s):

Dekun Tan ◽

Hui Sun ◽

Minjun Deng

Keyword(s):

Information Retrieval ◽

Rough Sets ◽

Fuzzy Rough Sets ◽

Retrieval Method ◽

Rough Sets Theory ◽

Sets Theory

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Sheaf Representation of an Information System

International Journal of Rough Sets and Data Analysis ◽

10.4018/ijrsda.2019040106 ◽

2019 ◽

Vol 6 (2) ◽

pp. 73-83

Author(s):

Pyla Vamsi Sagar ◽

M. Phani Krishna Kishore

Keyword(s):

Information System ◽

Information Retrieval ◽

Present Article ◽

Set Theory ◽

Rough Set ◽

Rough Sets ◽

Rough Set Theory ◽

Science And Technology ◽

Gold Mine ◽

Sheaf Representation

Ever since Pawlak introduced the concepts of rough sets, it has attracted many researchers and scientists from various fields of science and technology. Particularly for algebraists as it presented a gold mine to explore the algebraic and topological connections with rough set theory. The present article deals with the connections between rough sets and sheaves. The authors studied sheaf representation of an information system in rough set framework and illustrated how it helps information retrieval.

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