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Wyszukujesz frazę "decision systems" wg kryterium: Temat

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    Wyświetlanie 1-5 z 5
    Tytuł:
    Spatial Decision Support Systems: a conning of age
    Autorzy:
    Keenan, P. B.
    Powiązania:
    https://bibliotekanauki.pl/articles/970471.pdf
    Data publikacji:
    2006
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    system przestrzenny wspomagania decyzji
    system informacji przestrzennej
    Spatial Decision Support Systems
    geographic information systems
    Opis:
    Decision Support Systems (DDS) have developed to exploit Information Technology (IT) to assist decision-makers in a wide variety of fields. The need to use spatial data in many of these diverse fields has led to increasing interest in the development, of Spatial Decision Support. Systems (SDSS) based around the Geographic Information System (GIS) technology. Tlie paper examines the relationship between SDSS and GIS and suggests that SDSS is poised for further development owing to improvement, in technology and the greater availability of spatial data.
    Źródło:
    Control and Cybernetics; 2006, 35, 1; 9-27
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems
    Autorzy:
    Tran, V. T.
    Yang, B. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/971018.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    fault diagnosis
    classification
    induction motors
    decision trees
    forecasts
    fuzzy systems
    Opis:
    This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression trees (CART) and neuro-fuzzy inference systems (ANFIS). In case of diagnosis, CART is used as a feature selection tool to select pertinent features from data set, while ANFIS is used as a classifier. The crisp rules obtained from CART are then converted to fuzzy if-then rules, employed to identify the structure of ANFIS classifier. The hybrid of back-propagation and least squares algorithm are utilized to tune the parameters of the membership functions. The data sets obtained from vibration signals and current signals of the induction motors are used to evaluate the proposed algorithm. In case of prognosis, both of these models in association with direct prediction strategy for long-term prediction of time series techniques are utilized to forecast the future values of machine operating condition. In this case, the number of available observations and the number of predicted steps are initially determined by false nearest neighbor method and auto mutual information technique, respectively. These values are subsequently utilized as inputs for prediction models. The performance of the proposed prognosis system is then evaluated by using real trending data of a low methane compressor. A comparative study of the predicted results obtained from CART and ANFIS models is also carried out to appraise the prediction capability of these models. The results of the proposed methods in both cases indicate that CART and ANFIS offer a potential for machine fault diagnosis and for condition prognosis.
    Źródło:
    Control and Cybernetics; 2010, 39, 1; 25-55
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Rough set based processing of inconsistent information in decision analysis
    Autorzy:
    Słowiński, R.
    Stefanowski, J.
    Greco, S.
    Matarazzo, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/206765.pdf
    Data publikacji:
    2000
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    klasyfikacja
    kombinatoryka
    teoria decyzji
    teoria gier
    classification
    decision analysis
    knowledge based systems
    multi-criteria decision analysis
    rough sets
    rule induction
    Opis:
    Inconsistent information is one of main difficulties in the explanation and recommendation tasks of decision analysis. We distinguish two kinds of such information inconsistencies : the first is related to indiscernibility of objects described by attributes defined in nominal or ordinal scales, and the other follows from violation of the dominance principle among attributes defined on preference ordered ordinal or cardinal scales, i.e. among criteria. In this paper we discuss how these two kinds of inconsistencies are handled by a new approach based on the rough sets theory. Combination of this theory with inductive learning techniques leads to generation of decision rules from rough approximations of decision classes. Particular attention is paid to numerical attribute scales and preference-ordered scales of criteria, and their influence on the syntax of induced decision rules.
    Źródło:
    Control and Cybernetics; 2000, 29, 1; 379-404
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Design science research approach in studying e-negotiations: models, systems, experiments
    Autorzy:
    Wu, ShiKui
    Powiązania:
    https://bibliotekanauki.pl/articles/2183435.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    e-negotiations
    design science research
    negotiation models
    negotiation systems
    negotiation experiments
    multiattribute auction
    decision support
    mechanism design
    system design
    Opis:
    Inspired and led by Dr. Gregory E. Kersten, a number of research projects have been conducted at the InterNeg Research Centre. This paper intends to acknowledge Dr. Kersten’s unique role as a pioneer in e-negotiation research, particularly in exploring and integrating various elements in e-negotiations. From the design science research perspective, this paper reviews a series of relevant research works in e-negotiation modeling, system design and development, and experimental studies. This provides an integrative view of interconnected elements in this field, and also helps framing the various studies into different aspects and stages of e-negotiation research. The paper then suggests several guidelines and directions for future design science research in e-negotiations.
    Źródło:
    Control and Cybernetics; 2021, 50, 1; 33--50
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Generation of reducts and rules in multi-attribute and multi-criteria classification
    Autorzy:
    Susmaga, R.
    Słowiński, R.
    Greco, S.
    Matarazzo, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/205913.pdf
    Data publikacji:
    2000
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    decision rules
    dominance relation
    intelligent information systems
    multi-attribute and multi-criteria classification
    reducts of attributes and criteria
    rough sets theory
    Opis:
    The paper addresses the problem of analysing information tables which contain objects described by both attributes and criteria, i.e. attributes with preference-ordered scales. The objects contained in those tables, representing exemplary decisions made by a decision maker or a domain expert, are usually classified into one of several classes that are also often preference-ordered. Analysis of such data using the classic rough set methodology may produce improper results, as the original rough set approach is not able to discover inconsistencies originating from consideration of typical criteria, like e.g. product quality, market share or debt ratio. The paper presents the framework for the analysis of both attributes and criteria and a very promising algorithm for generating reducts. The algorithm presented is evaluated in an experiment with real-life data sets and its results are compared to those by two other reduct generating algorithms.
    Źródło:
    Control and Cybernetics; 2000, 29, 4; 969-988
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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