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    Wyświetlanie 1-7 z 7
    Tytuł:
    Neuro-rough-fuzzy approach for regression modelling from missing data
    Autorzy:
    Simiński, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/331298.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system neuronowo-rozmyty
    ANNBFIS
    brakujące wartości
    zbiór przybliżony
    zbiór rozmyty
    neuro-fuzzy
    missing values
    marginalisation
    imputation
    rough fuzzy set
    clustering
    Opis:
    Real life data sets often suffer from missing data. The neuro-rough-fuzzy systems proposed hitherto often cannot handle such situations. The paper presents a neuro-fuzzy system for data sets with missing values. The proposed solution is a complete neuro-fuzzy system. The system creates a rough fuzzy model from presented data (both full and with missing values) and is able to elaborate the answer for full and missing data examples. The paper also describes the dedicated clustering algorithm. The paper is accompanied by results of numerical experiments.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2012, 22, 2; 461-476
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The use of rough rules in the selection of topographic objects for generalizing geographical information
    Autorzy:
    Fiedukowicz, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/92554.pdf
    Data publikacji:
    2020
    Wydawca:
    Oddział Kartograficzny Polskiego Towarzystwa Geograficznego
    Tematy:
    cartographic generalization
    Rough Set Theory
    ominance-Based Rough Set Theory
    Fuzzy-Rough Set Theory
    decision rules
    Opis:
    Selection is a key element of the cartographic generalisation process, often being its first stage. On the other hand it is a component of other generalisation operators, such as simplification. One of the approaches used in generalization is the condition-action approach. The author uses a condition-action approach based on three types of rough logics (Rough Set Theory (RST), Dominance-Based Rough Set Theory (DRST) and Fuzzy-Rough Set Theory (FRST)), checking the possibility of their use in the process of selecting topographic objects (buildings, roads, rivers) and comparing the obtained results. The complexity of the decision system (the number of rules and their conditions) and its effectiveness are assessed, both in terms of quantity and quality – through visual assessment. The conducted research indicates the advantage of the DRST and RST approaches (with the CN2 algorithm) due to the quality of the obtained selection, the greater simplicity of the decision system, and better refined IT tools enabling the use of these systems. At this stage, the FRST approach, which is characterised by the highest complexity of created rules and the worst selection results, is not recommended. Particular approaches have limitations resulting from the need to select appropriate measurement scales for the attributes used in them. Special attention should be paid to the selection of network objects, in which the use of only a condition-action approach, without maintaining consistency of the network, may not produce the desired results. Unlike approaches based on classical logic, rough approaches allow the use of incomplete or contradictory information. The proposed tools can (in their current form) find an auxiliary use in the selection of topographic objects, and potentially also in other generalisation operators.
    Źródło:
    Polish Cartographical Review; 2020, 52, 1; 1-15
    2450-6974
    Pojawia się w:
    Polish Cartographical Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Single-shot determination of differential gene network on multiple disease subtypes
    Autorzy:
    Sadhu, Arnab
    Bhattacharyya, Balaram
    Mukhopadhyay, Tathagato
    Powiązania:
    https://bibliotekanauki.pl/articles/27312910.pdf
    Data publikacji:
    2022
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    phenotype interwoven network
    fuzzy rough set-based attribute selection
    gene interaction network
    differential co-expression
    Opis:
    A differential gene expressional network determines the prominent genes under altered phenotypes. The traditional approach requires n(n − 2)/2 comparisons for n phenotypes. We present a direct method for determining a differentia network under multiple phenotypes. We explore the non-discrete nature of gene expression as a pattern in a fuzzy rough set. An edge between a pair of genes represents a positive region of a fuzzy similarity relationship upon a phenotypic change. We apply a weight-ranking formula and obtain a directed ranked network; we label this as a phenotype interwoven network. Those nodes with large in-degree connectivity bubble up as significant genes under respective phenotypic changes. We tested the method on six diseases and achieved good corroboration with the results of previous studies in the two-step approach. The subgraphs of the isolated genes achieved good significance upon validation through an information theoretic approach. The top-ranking genes determined in all of our case studies are in consonance with the findings of the respective wet-lab tests.
    Źródło:
    Computer Science; 2022, 23 (2); 247--276
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modelling imperfect time intervals in a two-dimensional space
    Autorzy:
    Qiang, Y.
    Delafontaine, M.
    Asmussen, K.
    Stichelbaut, B.
    De Tre, G.
    De Maeyer, P.
    Van de Weghe, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/970193.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    rough set
    rough time interval
    fuzzy set
    fuzzy time interval
    Triangular Model
    temporal relation
    Opis:
    Every event has an extent in time, which is usually described by crisp time intervals. However, under some circumstances, temporal extents of events are imperfect, and therefore cannot be adequately modelled by crisp time intervals. Rough sets and fuzzy sets are two frequently used tools for representing imperfect temporal information. In this paper, we apply a two-dimensional representation of crisp time intervals, which is called the Triangular Model (TM), to investigate rough time intervals (RTIs) and fuzzy time intervals (FTIs). With this model, RTIs and FTIs, as well as their temporal relations, can be represented as graphics (i.e. discrete geometries or continuous fields) in a two-dimensional time space. Compared to the traditional linear representation of time intervals, we found that TM provides a more compact and clearer representation of imperfect time intervals and relations. Moreover, temporal queries of imperfect intervals can be graphically addressed in TM, which is closer to human intuition than mathematical expressions. As human minds are more efficient in perceiving and processing graphic representations than numerical representations, we believe TM can be applied as a valuable assistant tool for analysing and reasoning about imperfect time intervals.
    Źródło:
    Control and Cybernetics; 2010, 39, 4; 983-1010
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets
    Autorzy:
    Colomo-Palacios, R.
    González-Carrasco, I.
    López-Cuadrado, J. L.
    García-Crespo, Á.
    Powiązania:
    https://bibliotekanauki.pl/articles/331282.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    zbiór rozmyty
    zbiór przybliżony
    Scrum
    pakiet roboczy
    system polecenia
    fuzzy set
    rough set
    work package
    recommender system
    Opis:
    Agile development is a crucial issue within software engineering because one of the goals of any project leader is to increase the speed and flexibility in the development of new commercial products. In this sense, project managers must find the best resource configuration for each of the work packages necessary for the management of software development processes in order to keep the team motivated and committed to the project and to improve productivity and quality. This paper presents ReSySTER, a hybrid recommender system based on fuzzy logic, rough set theory and semantic technologies, aimed at helping project leaders to manage software development projects. The proposed system provides a powerful tool for project managers supporting the development process in Scrum environments and helping to form the most suitable team for different work packages. The system has been evaluated in a real scenario of development with the Scrum framework obtaining promising results.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2012, 22, 4; 801-816
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ant-based clustering for flow graph mining
    Autorzy:
    Lewicki, Arkadiusz
    Pancerz, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/330782.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    possibly certain sequences
    flow graph
    rough set
    fuzzy set
    ant based clustering
    graf przepływu danych
    zbiór przybliżony
    zbiór rozmyty
    Opis:
    The paper is devoted to the problem of mining graph data. The goal of this process is to discover possibly certain sequences appearing in data. Both rough set flow graphs and fuzzy flow graphs are used to represent sequences of items originally arranged in tables representing information systems. Information systems are considered in the Pawlak sense, as knowledge representation systems. In the paper, an approach involving ant based clustering is proposed. We show that ant based clustering can be used not only for building possible large groups of similar objects, but also to build larger structures (in our case, sequences) of objects to obtain or preserve the desired properties.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 561-572
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hybrydowy model systemu ekspertowego do oceny podatników
    Hybrid model of expert system for estimation of taxpayers
    Autorzy:
    Budziński, Ryszard
    Misztal, Leszek
    Powiązania:
    https://bibliotekanauki.pl/articles/452818.pdf
    Data publikacji:
    2011
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
    Tematy:
    klasyfikacja podatników
    teoria zbiorów przybliżonych
    rozmyta analiza skupień
    metoda AHP
    eksploracja danych
    taxpayers classification
    rough set theory
    fuzzy clustering
    AHP method
    data mining
    Opis:
    Proponowany model identyfikuje podatników na podstawie ich cech i właściwości, które wskazują na większą możliwość występowania problemów z przestrzeganiem prawa podatkowego. Eliminuje słabości występujące w znanych algorytmach zaliczających się do klasyfikatorów, jak również systemów wnioskujących oraz wspomagających typowanie stosowanych w administracji podatkowej. Jest to możliwe dzięki utworzeniu hybrydowego modelu, który dobrze odzwierciedla zachowania podatników. Model dzięki zastosowaniu nowoczesnych rozwiązań predysponuje do przyszłego utworzenia i uruchomienia w administracji bazującego na nim systemu ekspertowego.
    Proposed model identifies taxpayers on the basis of their features and properties that point to bigger possibility of taxation law observance problems. Model eliminates weaknesses of well known classification algorithms, as well as expert systems and taxpayers typing assists applications used wildly in tax offices. It is possible because of designing hybrid model that reflects well behavior of payers. Applying modern concepts in model predisposes it for future implementation of software solution that can be used in taxation administration.
    Źródło:
    Metody Ilościowe w Badaniach Ekonomicznych; 2011, 12, 2; 101-111
    2082-792X
    Pojawia się w:
    Metody Ilościowe w Badaniach Ekonomicznych
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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