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    Wyświetlanie 1-3 z 3
    Tytuł:
    Fuzzy model for the information and decision making support system for the CFM branch company
    Autorzy:
    Walaszek-Babiszewska, A.
    Chudzicki, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/118161.pdf
    Data publikacji:
    2006
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    managerial decisions
    fuzzy rule-based model
    car fleet management
    MIS
    application requirements
    customer segmentation
    Opis:
    The aim of this work is to present the ways of improvement the management process in the CFM company, by developing and implementing the Management Information System (MIS). In the first chapter the characteristic of Car Fleet Management company is presented. The second chapter describes how MIS could support management of that type of company, as well as general and functional requirements of the computer application. Third chapter presents an example of methodology of solving selected decision-making problem using a fuzzy rule-based model.
    Źródło:
    Applied Computer Science; 2006, 2, 1; 110-121
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An expert elicitation analysis for vessel allision risk near the offshore wind farm by using fuzzy rule-based bayesian network
    Autorzy:
    Yu, Q.
    Liu, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/117215.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    offshore wind farms
    expert elicitation analysis
    Bayesian network model
    fuzzy rule-based bayesian network
    Failure Modes and Effects Analyses (FMEA)
    Bayesian Networks
    vessel allision risk
    risk analysis
    Opis:
    This paper develops an expert based framework for analysing and synthesising the ship allision risk near the offshore wind farm (OWF) on the basis of a generic Fuzzy Bayesian network and FMEA analysis. This framework is specifically intended to overcome the difficulty of using traditional risk assessment methods in OWF allision. Under the introduced framework, subjective belief degrees are assigned to model the incompleteness encountered in establishing the knowledge base. The fuzzy transformation technology is then used to introduce all judgements results under various situations. Fully, a Bayesian network is established to aggregate all relevant attributes to the conclusion and to prioritise potential allision risk level of each ship categories. A series of case studies of different ship categories are studied to illustrate the application of the proposed framework. Results show that the fishing vessel and the service vessel have a higher allision risk than the merchant vessel due to insufficient risk detection. The collision consequence of the tanker is significantly higher than other types of vessel. The framework facilitates subjective risk assessment when historical failure data is not available in their practice, which provides support to OWF-safeguarding and decision-making.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 831-837
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A three-level aggregation model for evaluating software usability by fuzzy logic
    Autorzy:
    Rakovská, Eva
    Hudec, Miroslav
    Powiązania:
    https://bibliotekanauki.pl/articles/331401.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    measuring software usability
    rule-based system
    fuzzy quantifiers
    aggregation function
    questionnaire
    system regułowy
    kwantyfikator rozmyty
    funkcja agregacji
    Opis:
    Rapid deployment of IT brings about new issues with software usability measurement. Usability is based on users’ experience and is strongly subjective, having a qualitative character. The users’ comfort is usually collected by surveys in their daily work. The present article stems from an experimental study related to the evaluation of the usability of tools by a rule-based system. The work suggests a robust computational model that will be able to avoid the main problems arising from the experimental study (a large and less-legible rule base) and to deal with the vagueness of IT user experience, different levels of skills and various numbers of filled questionnaires in different departments. The computational model is based on three hierarchical levels of aggregation supported by fuzzy logic. Choices for the most suitable aggregation functions in each level are advocated and illustrated with examples. The number of questions and granularity of answers in this approach can be adjusted to each user group, which could reduce the response burden and errors. Finally, the paper briefly describes further possibilities of the suggested approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2019, 29, 3; 489-501
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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