Towards a New Fuzzy Linguistic Preference Modeling Approach for Geolocation Applications

Abchir, Mohammed-Amine; Truck, Isis

doi:10.1007/978-3-642-24001-0_37

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Indeed, when one linguistic expression is very far away from its next neighbor, the 2-tuple fuzzy linguistic model puts them artificially closer to each other because no appropriate linguistic hierarchy level can be found [24,25].…”

Section: Computing With Words and Fuzzy Logicmentioning

confidence: 99%

Natural Language Processing and Fuzzy Tools for Business Processes in a Geolocation Context

Truck

Abchir

2017

Advances in Artificial Intelligence

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In the geolocation field where high-level programs and low-level devices coexist, it is often difficult to find a friendly user interface to configure all the parameters. The challenge addressed in this paper is to propose intuitive and simple, thus natural language interfaces to interact with low-level devices. Such interfaces contain natural language processing (NLP) and fuzzy representations of words that facilitate the elicitation of business-level objectives in our context. A complete methodology is proposed, from the lexicon construction to a dialogue software agent including a fuzzy linguistic representation, based on synonymy.

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Section: Computing With Words and Fuzzy Logicmentioning

confidence: 99%

Natural Language Processing and Fuzzy Tools for Business Processes in a Geolocation Context

Truck

Abchir

2017

Advances in Artificial Intelligence

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Dealing With Natural Language Interfaces in a Geolocation Context

Abchir¹,

Truck²,

Pappa³

2012

Uncertainty Modeling in Knowledge Engineering and Decision Making

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In the geolocation field where high-level programs and low-level devices coexist, it is often difficult to find a friendly user interface to configure all the parameters. The challenge addressed in this paper is to propose intuitive and simple, thus natural language interfaces to interact with low-level devices. Such interfaces contain natural language processing and fuzzy representations of words that facilitate the elicitation of business-level objectives in our context.

show abstract