Different interpretations of fuzzy gradual-inclusion-based IR models
نویسندگان
چکیده
Recently, a theoretical fuzzy IR system, based on gradual inclusion measures, has been proposed [1]. In this model, derived from the division of fuzzy relations, the gradual inclusion of a query in a document is modeled by a fuzzy implication. In previous papers, we have shown that, under some assumptions, this model can be seen as a Vector Space Model. This paper also studies other interpretations of our fuzzy IR models based on gradual inclusions. It is shown that the fuzzy models can be interpreted as language models for IR. The links with logical models to IR are also recalled. More generally, this paper discusses the links between these models, shown from the point of view of our fuzzy models.
منابع مشابه
Implication in information retrieval systems
Some IR models make use of an implication to match a document d and a query q, computing either “q implies d” (e.g. in fuzzy inclusion models) or, the other way, “d implies q” (e.g. in logical IR models). This paper analyzes, from a theoretical point of view, the IR models using both approaches. Even if the above notations seem to be opposite, it is shown that they sometimes come from different...
متن کاملFuzzy Logic Models in some Categories
Models of a fuzzy logic in two categories of sets with similarity relations are introduced. Interpretations of formulas in these models are defined and some relations between different interpretations are investigated. Keywords—Many-Valued and Fuzzy Logics.
متن کاملHomomorphisms of Fuzzy Logic Models Based on Sets With Similarities
We investigate interpretations ‖ψ‖D of formulas ψ in a first order fuzzy logic in models D which are based on Ω-sets, i.e. sets with similarity relations with values in a complete MV-algebra Ω. These interpretations are fuzzy sets in some Ωsets. We show that if φ : D1 → D2 is a strong homomorphism between two models then there are also strong relationships between interpretations ‖ψ‖D1 and ‖ψ‖D...
متن کاملAn Insight into Role of Wordnet and Language Network for effective IR from Hindi Text Documents
This paper investigates the limitations of traditional Information Retrieval (IR) models and how the semantic based approaches overcomes these limitations. Further the paper analyzes a range of aspects of language network representation of text corpus and how different network properties can lead to improve the results for different applications of IR. The paper analyzes Hindi Wordnet to exploi...
متن کاملA NOTE TO INTERPRETABLE FUZZY MODELS AND THEIR LEARNING
In this paper we turn the attention to a well developed theory of fuzzy/lin-guis-tic models that are interpretable and, moreover, can be learned from the data.We present four different situations demonstrating both interpretability as well as learning abilities of these models.
متن کامل