Language and representation in information retrieval
Language and representation in information retrieval
Automated information retrieval: theory and methods
Automated information retrieval: theory and methods
Application of rough sets to information retrieval
Journal of the American Society for Information Science - Special issue: management of imprecision and uncertainty
Text retrieval and filtering: analytic models of performance
Text retrieval and filtering: analytic models of performance
Performance measurement in a fuzzy retrieval environment
SIGIR '81 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval
Information Retrieval
Information Retrieval: Computational and Theoretical Aspects
Information Retrieval: Computational and Theoretical Aspects
Information Retrieval: Algorithms and Heuristics
Information Retrieval: Algorithms and Heuristics
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Information Processing and Management: an International Journal
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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.