Some issues of fuzzy querying in relational databases

Hudec, Miroslav; Vučetić, Miljan

doi:10.14736/kyb-2015-6-0994

Cited by 3 publications

(2 citation statements)

References 54 publications

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“…Such summaries might improve the informativeness of business intelligence strategic dashboards, for instance. A query against the data stored in a database provides a formal description of the entities of interest to the user posing this query (Hudec and Vučetić, 2015;Kacprzyk et al, 2000). Limitation of the twovalued logic in the database query conditions has been mitigated by the fuzzy query approaches like (Tamani et al, 2011;Hudec, 2009;Kacprzyk and Zadrożny, 2001;Wang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Linguistic Summaries in Evaluating Elementary Conditions and Their Application in Software Environment

Sojka

2021

PNS

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Data users are generally interested in two types of aggregated information: summarization of the selected attribute(s) for all considered entities and retrieval and evaluation of entities by the requirements posed on the relevant attributes. Less statistically literate users (e.g., domain experts) and the business intelligence strategic dashboards can benefit from linguistic summarization, i.e. a summary like most customers are middle-aged can be understood immediately. Evaluation of the mandatory and optional requirements of the structure P1 and most of the other posed predicates should be satisfied beneficial for analytical business intelligence dashboards and search engines in general. This work formalizes the integration of the aforementioned quantified summaries and quantified evaluation into the concept of database queries to empower their flexibility by, e.g., the nested quantified query conditions on hierarchical data structures. Later in our work, we adapted our research into practical application. We created a software environment for evaluating data based on a dataset retrieved from The Statistical Office of the Slovak republic. These datasets are aimed mainly on landscape characteristics like altitude, area sizes of towns and villages, and similar parameters. Based on user's preferences, our system recommends the most suitable place for holidays to spend on.

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Section: Introductionmentioning

confidence: 99%

Linguistic Summaries in Evaluating Elementary Conditions and Their Application in Software Environment

Sojka

2021

PNS

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“…A query against the data stored in a database provides a formal description of the entities of interest to the user posing this query (Hudec and Vucetić, 2015;Kacprzyk et al, 2000). Limitation of the two-valued logic in the database query conditions has been mitigated by the fuzzy query approaches like (Bosc and Pivert, 1995;Hudec, 2009;Kacprzyk and Zadrożny, 1995;Wang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Linguistic Summaries in Evaluating Elementary Conditions, Summarizing Data and Managing Nested Queries

Sojka¹,

Hudec²,

Švaňa³

2020

Informatica

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Data users are generally interested in two types of aggregated information: summarization of the selected attribute(s) for all considered entities, and retrieval and evaluation of entities by the requirements posed on the relevant attributes. Less statistically literate users (e.g. domain experts) and the business intelligence strategic dashboards can benefit from the linguistic summarization, i.e. a summary like the most of customers are middle-aged can be understood immediately. Evaluation of the mandatory and optional requirements of the structure P 1 and most of the other posed predicates should be satisfied is beneficial for analytical business intelligence dashboards and search engines in general. This work formalizes the integration of aforementioned quantified summaries and quantified evaluation into the concept of database queries to empower their flexibility by, e.g. the nested quantified query conditions on hierarchical data structures. Next, this approach contributes to the mitigation of the empty answer problem in data retrieval tasks. Thus, the strategic and analytical dashboards as well as query engines might benefit from the proposed approach. Finally, the obtained results are illustrated on examples, the internal and external trustworthiness is elaborated, and the future research topics and applicability are discussed.

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Methodology of Transformation of Fuzzy Queries into Queries in the SQL Standard

Nowakowski

2019

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

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Some issues of fuzzy querying in relational databases

Cited by 3 publications

References 54 publications

Linguistic Summaries in Evaluating Elementary Conditions and Their Application in Software Environment

Linguistic Summaries in Evaluating Elementary Conditions and Their Application in Software Environment

Linguistic Summaries in Evaluating Elementary Conditions, Summarizing Data and Managing Nested Queries

Methodology of Transformation of Fuzzy Queries into Queries in the SQL Standard

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