Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Miljan Vucetic"'
Autor:
Miroslav Hudec, Miljan Vucetic
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030647308
Searching for suitable entities in a datasets is still a challenging task, because the entities’ attributes are often expressed by various data types including numerical, categorical, and fuzzy data. In addition, an attribute in a dataset may conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b358ffcf732a98b03dadd84e11c90d4a
https://doi.org/10.1007/978-3-030-64731-5_1
https://doi.org/10.1007/978-3-030-64731-5_1
Autor:
Miroslav Hudec, Miljan Vucetic
Publikováno v:
Expert Systems with Applications. 101:143-158
Most of the existing query engines built into modern e-commerce platforms retrieve products by means of text and numerical matching. Conventional query engines for conducting product search suffer from several problems because of which they are not g
Autor:
Miljan Vucetic, Miroslav Hudec
Publikováno v:
New Trends in Aggregation Theory ISBN: 9783030194932
AGOP
AGOP
Retrieving the most suitable items and sorting them downwards from the best face many challenges. The conformance measures are able to efficiently calculate similarities between the desired value and values of considered items’ attribute regardless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710e84f2e1ac67dafd8c93480f7c3a40
https://doi.org/10.1007/978-3-030-19494-9_28
https://doi.org/10.1007/978-3-030-19494-9_28
Publikováno v:
Engineering Applications of Artificial Intelligence. 88:103395
Knowledge discovery from databases copes with several problems including the heterogeneity of data and interpreting the solution in an understandable and convenient form for domain experts. Fuzzy logic approaches based on the computing with words par
Autor:
Miljan Vucetic, Miroslav Hudec
Publikováno v:
IJCCI
Publikováno v:
Expert Systems with Applications. 40:2738-2745
In this paper, we present a new method for computing fuzzy functional dependencies between attributes in fuzzy relational database systems. The method is based on the use of fuzzy implications. A literature analysis has shown that there is no algorit
Data mining methods based on fuzzy logic have been developed recently and have become an increasingly important research area. In this chapter, the authors examine possibilities for discovering potentially useful knowledge from relational database by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a63ec92d046f9922882e2d4c7b61072c
https://doi.org/10.4018/978-1-4666-9562-7.ch097
https://doi.org/10.4018/978-1-4666-9562-7.ch097
Autor:
Miljan Vucetic, Miroslav Hudec
Publikováno v:
2015 23rd Telecommunications Forum Telfor (TELFOR).
In this paper we deal with relevance and possibilities of fuzzy relational databases regarding its applications in data managing and manipulation. Authors have presented contributions, aspects and approaches in solving different tasks in relational d
Publikováno v:
2014 18th International Conference on System Theory, Control and Computing (ICSTCC).
Autor:
Miljan Vucetic
Publikováno v:
JITA - Journal of Information Technology and Applications (Banja Luka) - APEIRON. 2
This paper presents a literature overview of Fuzzy Relational Database Models with emphasis on the role of functional dependencies in logical designing and modeling. The aim is the analysis of recent results in this field. Fuzzy set theory is widely