No-FSQL: A Graph-based Fuzzy NoSQL Querying Model

Ines BenAli-Sougui, Minyar Sassi Hidri and Amel Grissa-Touzi
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Ines BenAli-Sougui: Ecole Nationale d'Ingénieurs de Tunis, Université de Tunis El Manar, Tunis, Tunisia
Minyar Sassi Hidri: Ecole Nationale d'Ingénieurs de Tunis, Université de Tunis El Manar, Tunis, Tunisia
Amel Grissa-Touzi: Ecole Nationale d'Ingénieurs de Tunis, Université de Tunis El Manar, Tunis, Tunisia

International Journal of Fuzzy System Applications (IJFSA), 2016, vol. 5, issue 2, 54-63

Abstract: NoSQL (Not only SQL) is an efficient database model for storing and manipulating huge quantities of precise data. However, most NoSQL databases scale well as data grows and often are flexible enough to accommodate imprecise and ambiguous data. This comprehensive hands-on guide presents fundamental concepts and practical solutions for using fuzziness with NoSQL to deals with fuzzy databases (FDB). In this paper, the authors present a graph-based fuzzy NoSQL model to deal with large fuzzy databases while extending the NoSQL one. The authors consider the cypher declarative query language proposed for Neo4j which is the current leader on this market to querying fuzzy databases.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:5:y:2016:i:2:p:54-63

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