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Cites:

Information Journal Paper

Title

A new Approach to Perform Fuzzy Queries over NoSQL Database

Pages

  463-484

Abstract

 Today, due to massive amount of information, NoSQL databases are used to compute complex data. These databases are used to store semi-structured and unstructured data for big data management. In this paper, fuzzy queries are executed by users on the information stored in the Neo4j Graph Database, which show results in defuzzy manner. To evaluate the efficiency of the proposed method, we considered a database of manufacturing company. Price and quality fuzzy variables were considered and used to define and execute the fuzzy queries. The results can verify the performance of the proposed method. Additionally, a counselor (who has information about the data) defines fuzzy terms, membership functions, and fuzzy rules table. The most important process in this method is to find the Center of Gravity in order to defuzzify the final result. So, an algorithm has been implemented for this purpose by C # programming language. The greatest query time is due to find Center of Gravity. The evaluation results show that the increase in query time by using the proposed approach in comparison to query time by using Cypher language is acceptable due to the complexity of fuzzy concepts. Therefore, the proposed solution will be suitable for using ambiguous and fuzzy queries in large databases.

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  • Cite

    APA: Copy

    AHMADI, ZAHRA, Matinfar, Farzam, & PARAND, FERESHTEH AZADI. (2020). A new Approach to Perform Fuzzy Queries over NoSQL Database. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 35(2 ), 463-484. SID. https://sid.ir/paper/131053/en

    Vancouver: Copy

    AHMADI ZAHRA, Matinfar Farzam, PARAND FERESHTEH AZADI. A new Approach to Perform Fuzzy Queries over NoSQL Database. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2020;35(2 ):463-484. Available from: https://sid.ir/paper/131053/en

    IEEE: Copy

    ZAHRA AHMADI, Farzam Matinfar, and FERESHTEH AZADI PARAND, “A new Approach to Perform Fuzzy Queries over NoSQL Database,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 35, no. 2 , pp. 463–484, 2020, [Online]. Available: https://sid.ir/paper/131053/en

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