Modelling vague lexical time expressions by means of fuzzy set theory*

Devos, Filip; Gyseghem, Nancy Van; Vandenberghe, Ria; Caluwe, Rita M. M. De

doi:10.1080/09296179408590016

Cited by 8 publications

(6 citation statements)

References 2 publications

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“…All this should facilitate a formal representation of vague LTI's by means of fuzzy set theory. In Devos et al (1994) and Van Gyseghem et al (1994) an analysis is given of a formal way of representing vague LTI's by means of fuzzy set theory, probability theory and fuzzy logic. They outline different models of representing vague time intervals by means of fuzzy set theory.…”

Section: Lti's and Vaguenessmentioning

confidence: 99%

Granularity in the interpretation ofAroundin approximative lexical time indications

Devos

Maesfranckx

Tré

1998

Journal of Quantitative Linguistics

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Section: Lti's and Vaguenessmentioning

confidence: 99%

Granularity in the interpretation ofAroundin approximative lexical time indications

Devos

Maesfranckx

Tré

1998

Journal of Quantitative Linguistics

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“…Time expressions, for instance, are typically vague in degree (e.g. around 9 p.m., in the afternoon) (Devos et al 1994). Or when, for instance, can a person be called old?…”

Section: Two Types Of Semantic Vaguenessmentioning

confidence: 99%

Semantic Vagueness and Lexical Polyvalence

Devos¹

2003

Studia Linguistica

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The present paper focuses on vagueness as a less charted area of semantic analysis. The introductory paragraph outlines the problematic treatment of semantic vagueness in several disciplines such as psychology, philosophy, logic and linguistics, especially as to (1) the interpretation of vagueness;(2) the analysis of the phenomenon; and (3) the delineation of the notion in the literature. Next, two basic types of semantic vagueness are distinguished. The principal part of the paper focuses on the demarcation problem: it poses the question how vagueness functions amidst what has been called`vagaries of reference', like homonymy, polysemy, metaphor, metonymy and generality. Finally, the (linguistic) treatment of semantic vagueness is revisited in view of the three problems described at the outset.

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“…], a possibility degree is associated to the temporal fact or event. Possibility theory is widely used to model uncertainty and vagueness in time [20], [23], [17], [55]. Several works [67], [58] present fuzzy versions of the temporal relations proposed by Allen [1].…”

Section: Representation Of Imperfect Informationmentioning

confidence: 99%

Aspects of Dealing with Imperfect Data in Temporal Databases

Pons

Billiet

Pons

et al. 2013

Flexible Approaches in Data, Information and Knowledge Management

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In reality, some objects or concepts have properties with a time-variant or time-related nature. Modelling these kinds of objects or concepts in a (relational) database schema is possible, but time-variant and time-related attributes have an impact on the consistency of the entire database. Therefore, temporal database models have been proposed to deal with this. Time itself can be at the source of imprecision, vagueness and uncertainty, since existing time measuring devices are inherently imperfect. Accordingly, human beings manage time using temporal indications and temporal notions, which may contain imprecision, vagueness and uncertainty. However, the imperfection in human-used temporal indications is supported by human interpretation, whereas information systems need extraordinary support for this. Several proposals for dealing with such imperfections when modelling temporal aspects exist. Some of these proposals consider the basis of the system to be the conversion of the specificity of temporal notions between used temporal expressions. Other proposals consider the temporal indications in the used temporal expressions to be the source of imperfection. In this chapter, an overview is given, concerning the basic concepts and issues related to the modelling of time as such or in (relational) database models and the imperfections that may arise during or as a result of this modelling. Next to this, a novel and currently researched technique for handling some of these imperfections is presented.

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Modelling vague lexical time expressions by means of fuzzy set theory*

Cited by 8 publications

References 2 publications

Granularity in the interpretation ofAroundin approximative lexical time indications

Granularity in the interpretation ofAroundin approximative lexical time indications

Semantic Vagueness and Lexical Polyvalence

Aspects of Dealing with Imperfect Data in Temporal Databases

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