Wszystkie pola: fuzzy methods - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Soft methods in statistical quality control
Autorzy:: Grzegorzewski, P.
Hryniewicz, O.
Powiązania:: https://bibliotekanauki.pl/articles/206289.pdf
Data publikacji:: 2000
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: statystyczna kontrola jakości
zbiór rozmyty
control charts
fuzzy sets
sampling plans
vague data
Opis:: The paper is devoted to soft methods in statistical quality control. A review of existing tools for dealing with vague data or fuzzy requirements is given. Some new procedures are also proposed.
Źródło:: Control and Cybernetics; 2000, 29, 1; 119-140
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Neural methods of knowledge extraction
Autorzy:: Duch, W.
Adamczak, R.
Grąbczewski, K.
Jankowski, N.
Powiązania:: https://bibliotekanauki.pl/articles/206250.pdf
Data publikacji:: 2000
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: diagnostyka medyczna
optymalizacja
reguła logiczna
reguła rozmyta
wspomaganie decyzji
data mining
decision support
fuzzy rules
logical rules
medical diagnosis
optimization
Opis:: Contrary to the common opinion, neural networks may be used for knowledge extraction. Recently, a new methodology of logical rule extraction, optimization and application of rule-based systems has been described. C-MLP2LN algorithm, based on constrained multilayer perceptron network, is described here in details and the dynamics of a transition from neural to logical system illustrated. The algorithm handles real-valued features, determining appropriate linguistic variables or membership functions as a part of the rule extraction process. Initial rules are optimized by exploring the accuracy/simplicity tradeoff at the rule extraction stage and the one between reliability of rules and rejection rate at the optimization stage. Gaussian uncertainties of measurements are assumed during application of crisp logical rules, leading to "soft trapezoidal" membership functions and allowing to optimize the linguistic variables using gradient procedures. Comments are made on application of neural networks to knowledge discovery in the benchmark and real life problems.
Źródło:: Control and Cybernetics; 2000, 29, 4; 997-1017
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Decision support based methods to facilitate 3D volumetric locking in a new peer to peer based spatial database system
Autorzy:: Vert, G.
Morris, A.
Heaton, J. S.
Powiązania:: https://bibliotekanauki.pl/articles/970482.pdf
Data publikacji:: 2006
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: baza danych
logika rozmyta
peer-to-peer
database
fuzzy logic
Opis:: Spatial databases present challenges to data management not found in typical RDBMS. Among these is the desire of users for highly distributed access to data. A new peer to peer database model is being developed that supports high distribution and concurrency of information access. Some aspects of the model are presented in this paper. However the new peer to peer model faces the critical problem of how to lock data as it becomes highly distributed. Conceptual methods borrowed from decision support and data mining are proposed to create a new type of locking model based on 3D volumetrics. The methods and mathematics proposed in this paper can become the basis for the implementation of a new type of peer to peer based spatial database system where spatial information flows to where it is needed on demand.
Źródło:: Control and Cybernetics; 2006, 35, 1; 165-194
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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