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    Wyświetlanie 1-3 z 3
    Tytuł:
    Probabilistic fuzzy approach to evaluation of logistics service effectiveness
    Autorzy:
    Rudnik, K.
    Pisz, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/406962.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fuzzy expert systems
    fuzzy hybrid systems
    probabilistic fuzzy systems
    probability of fuzzy event
    logistics company
    logistics service provider
    logistics service
    effectiveness
    Opis:
    Logistics service providers offer a whole or partial logistics business service over a certain time period. Between such companies, the effectiveness of specific logistics services can vary. Logistics service providers seek the effective performance of logistics service. The purpose of this paper is to present a new approach for the evaluation of logistics service effectiveness, along with a specific computer system implementing the proposed approach - a sophisticated inference system, an extension of the Mamdani probabilistic fuzzy system. The paper presents specific knowledge concerning the relationships between effectiveness indicators in the form of fuzzy rules which contain marginal and conditional probabilities of fuzzy events. An inference diagram is also shown. A family of Yager’s parameterized t-norms is proposed as inference operators. It facilitates the optimization of system parameters and enables flexible adjustment of the system to empirical data. A case study was used to illustrate the new approach for the evaluation of logistics service effectiveness. The approach is demonstrated on logistics services in a logistics company. We deem the analysis of a probabilistic fuzzy knowledge base to be useful for the evaluation of effectiveness of logistics services in a logistics company over a given time period.
    Źródło:
    Management and Production Engineering Review; 2014, 5, 4; 66-75
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy approach using experts’ psychological conditions to estimate the criteria importance for the assessment of innovative projects risk
    Autorzy:
    Deptuła, A. M.
    Rudnik, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/407147.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Fuzzy Multiple Criteria Decision Making
    FMCDM
    fuzzy Analytic Hierarchy Process
    fuzzy AHP
    group decision making
    innovative project
    assessment of risk
    psychological aspects
    process of making decision
    Opis:
    The difficulty of innovation risk assessment makes it necessary to use a multi-criteria analysis. Innovative projects are related to unstructured problems and the uncertainty, therefore, the use of fuzzy logic in the innovation risk assessment is analyzed. This paper proposes a method of determining the weights of criteria in order to innovation risk assessment. The weights are determined by 5 general criteria and 14 detailed criteria of innovation risk assessment. The proposed method is an extension of the fuzzy AHP method. The extension consists in taking into consideration the group decision-making approach with experts’ psychological conditions. The groups of experts have been chosen based on an elaborated form. The form makes it possible to characterize the persons within the scope of different psychological conditions. The proposed method provides objective and rational decision-making. The paper presents also a comparison of results with the fuzzy AHP method without the group decision making. The weights obtained by the proposed method are more diversified and bring out the most important criteria.
    Źródło:
    Management and Production Engineering Review; 2018, 9, 1; 13-23
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Probabilistic-fuzzy knowledge-based system for managerial applications
    Autorzy:
    Rudnik, K.
    Walaszek-Babiszewska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/407276.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    system kierowniczy
    system oparty na wiedzy
    system rozmyty
    knowledge-based system
    fuzzy system
    probability of fuzzy events
    fuzzy association rules
    manager decision
    Opis:
    The paper deals with an inference system with probabilistic-fuzzy knowledge base as a tool which can help users in analyzing complete uncertainty of real problems in the company using fuzzy sets and probability. In the mentioned system, knowledge is saved in the weighted IFTHEN fuzzy rules, where the weights constitute marginal probabilities of the fuzzy events in the antecedents and conditional probabilities of the fuzzy events in the consequents. Moreover, the paper presents a proposal of the use of fuzzy association rules as a method of automatic knowledge base extraction in the inference system. For this purpose a modification of the PF-Growth algorithm is described. A numerical example is analyzed by using wind speed prediction process. The correct estimation of wind speed, as the potential energy resource, is necessary for control of the wind turbine work and it is important for the localization process of wind turbines, production planning and estimating cost-effectiveness of such investments.
    Źródło:
    Management and Production Engineering Review; 2012, 3, 1; 49-61
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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