Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/760
Title: Vector retrieval, fuzzy retrieval and the universal fuzzy IR surface for IR evaluation
Authors: EGGHE, Leo 
Issue Date: 2004
Publisher: Elsevier
Source: Information Processing & Management, 40(4). p. 603-618
Abstract: It is shown that vector information retrieval (IR) and general fuzzy IR uses two types of fuzzy set operations: the original "Zadeh min–max operations" and the so-called "probabilistic sum and algebraic product operations". The universal IR surface, valid for classical 0–1 IR (i.e. where ordinary sets are used) and used in IR evaluation, is extended to and reproved for vector IR, using the probabilistic sum and algebraic product model. We also show (by counterexample) that, using the "Zadeh min–max" fuzzy model, yields a breakdown of this IR surface.
Keywords: Vector IR; Fuzzy IR; Universal IR surface
Document URI: http://hdl.handle.net/1942/760
ISSN: 0306-4573
e-ISSN: 1873-5371
DOI: 10.1016/S0306-4573(03)00027-X
ISI #: 000222597100002
Category: A1
Type: Journal Contribution
Validations: ecoom 2005
Appears in Collections:Research publications

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