Fuzzy Logic and the Resolution Principle
Journal of the ACM (JACM)
A formal system for information retrieval from files
Communications of the ACM
Canonical structure in attribute based file organization
Communications of the ACM
Information Retrieval
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Dynamic information and library processing
Dynamic information and library processing
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
On Minimization of Fuzzy Functions
IEEE Transactions on Computers
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
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The paper deals with information retrieval systems, and especially with document retrieval systems. Some of the postulates most desired to be met by possible approaches to document retrieval are given, and the extent to which they are fulfilled by the established retrieval methodologies is discussed. In particular, a considerable place is devoted to the probabilistic approach and the document retrieval methodologies based on vector space theory and cluster analysis. The examination of the widely known theoretical approaches to document retrieval has resulted in the conclusion that fuzzy set theory and fuzzy logic provide a basis for fulfilling most of those postulates in a direct manner and with sufficient consistency and rigorousness. Since the concept of a fuzzy set is a generalization of the conventional notion of a set, the generalization of the document retrieval methods based on set theory and binary logic can be derived in a natural way. At the end of the paper the main advantages of the document retrieval approach based on fuzzy set theory and fuzzy logic are specified and briefly discussed.