Fuzzy Preference Queries To Relational Databases

Pivert, Olivier; Bosc, Patrick

doi:10.1142/9781848168701

Cited by 36 publications

(31 citation statements)

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“…They have been intensively studied by Bandler and Kohout in the early 1980s [4] and since then they have become an important topic in fuzzy mathematics. Their applications are various, including e.g., architectures for information processing [3], relational databases [24], or fuzzy inference systems [28]. To shorten the name, let us mention them as standard compositions.…”

Section: Fuzzy Relational Compositions and Motivationmentioning

confidence: 99%

Missing Values and Indeterminable Values in Fuzzy Relational Compositions

Cao

2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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Four-valued logics were developed from three-valued logics aiming at creating tools dealing with missing values and indeterminable values at the same time in computer science. In this paper, we are motivated by the formation of such four-valued logics and construct a new set of operations able to work with both types of such undefined values in partial fuzzy set theory. The operations are built based on the well-known Bochvar algebra and the Sobociński algebra modeling indeterminable values, and the recent Dragonfly algebra purely designed for modeling missing values. Moreover, the operations are established to be compatible with the operations used for elaborating compositions of partial fuzzy relations. Various valid properties of the new operations are then presented, and consequently, the properties of the compositions of partial fuzzy relations constructed based on such operations are implied as well. In the end, an illustrative example is provided to observe the use of the proposed compositions.

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Section: Fuzzy Relational Compositions and Motivationmentioning

confidence: 99%

Missing Values and Indeterminable Values in Fuzzy Relational Compositions

Cao

2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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“…As a result, some database tuples are a definite match, some definitely do not match the user's request, and some match to a certain degree. Several fuzzy query implementations have been proposed such as [13,28,31,40,41,46] and [55]. A consistent survey of the status and opportunities of fuzzy sets in all areas of databases and information systems including fuzzy queries can be found in [6].…”

Section: Doi: 1014736/kyb-2015-6-0994mentioning

confidence: 99%

Some issues of fuzzy querying in relational databases

Hudec¹,

Vučetić²

2016

Kybernetika

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“…For example, we refer the interested reader to the following works which are not the source papers on the above types of queries but consider them in a fuzzy/possibilistic setting: [13,32,35,72,74,82,94,95,99,105].…”

Section: Tools and Techniquesmentioning

confidence: 99%

“…For more detail, we refer to some of the books exemplified by, starting from early sources, Zemankova and Kandel [137], Yazici [124], Petry [93], or the recent Bosc and Pivert [94]. One can also recommend many edited volumes: [45,70,67,15,98], etc.…”

Section: Tools and Techniquesmentioning

confidence: 99%