Temat: interval sets - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Relative Sets and Rough Sets
Autorzy:: Mousavi, A.
Jabedar-Maralani, P.
Powiązania:: https://bibliotekanauki.pl/articles/908368.pdf
Data publikacji:: 2001
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: teoria mnogości
analiza danych
przedstawienie wiedzy
rough sets
set theory
data analysis
multi-valued logic
interval sets
knowledge representation
Opis:: In this paper, by defining a pair of classical sets as a relative set, an extension of the classical set algebra which is a counterpart of Belnap's four-valued logic is achieved. Every relative set partitions all objects into four distinct regions corresponding to four truth-values of Belnap's logic. Like truth-values of Belnap's logic, relative sets have two orderings; one is an order of inclusion and the other is an order of knowledge or information. By defining a rough set as a pair of definable sets, an integrated approach to relative sets and rough sets is obtained. With this definition, we are able to define an approximation of a rough set in an approximation space, and so we can obtain sequential approximations of a set, which is a good model of communication among agents.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2001, 11, 3; 637-653
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Rough support vector machine for classification with interval and incomplete data
Autorzy:: Nowicki, Robert K.
Grzanek, Konrad
Hayashi, Yoichi
Powiązania:: https://bibliotekanauki.pl/articles/91559.pdf
Data publikacji:: 2020
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: support vector machines
rough sets
missing features
interval data
three–way decision
maszyna wektorów nośnych
dane interwałowe
Opis:: The paper presents the idea of connecting the concepts of the Vapnik’s support vector machine with Pawlak’s rough sets in one classification scheme. The hybrid system will be applied to classifying data in the form of intervals and with missing values [1]. Both situations will be treated as a cause of dividing input space into equivalence classes. Then, the SVM procedure will lead to a classification of input data into rough sets of the desired classes, i.e. to their positive, boundary or negative regions. Such a form of answer is also called a three–way decision. The proposed solution will be tested using several popular benchmarks.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 1; 47-56
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

Artykuł

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