A new, extended Boolean information-retrieval system is introduced that is intermediate
between the Boolean system of query processing and the vector-processing model. The …

Abstract The generalization of Boolean Information Retrieval Systems (IRS) is still an open
research field; in fact, though such systems are diffused on the market, they present some …

This paper presents a survey of some fuzzy linguistic information access systems. The
review shows information retrieval systems, filtering systems, recommender systems, and …

This article examines and extends the logical models of information retrieval in the context of
probability theory. The fundamental notions of term weights and relevance are given …

A linguistic model for an Information Retrieval System (IRS) defined using an ordinal fuzzy
linguistic approach is proposed. The ordinal fuzzy linguistic approach is presented, and its …

An important question in IRSs is how to facilitate the IRS-user interaction, even more when
the complexity of the fuzzy query language makes difficult to formulate user queries. The use …

A “softening” of the hard Boolean scheme for information retrieval is presented. In this
approach, information retrieval is seen as a multicriteria decision‐making activity in which …

Substantial work has been done on the application of fuzzy subset theory to information
retrieval. Boolean query processing has been generalized to allow for weights to be …

This paper reviews some applications of fuzzy set theory to model flexible information
retrieval systems, ie, systems that can represent and interpret the vagueness typical of …

Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present
some problems of loss of information and lack of precision when working with discrete …