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Wyszukujesz frazę "fuzzy event" wg kryterium: Temat


Wyświetlanie 1-10 z 10
Tytuł:
Probability of the Fuzzy Events and its Application in Some Economic Problems
Prawdopodobieństwo zdarzenia rozmytego i jego zastosowanie w problemach ekonomicznych
Autorzy:
Gerstenkorn, Tadeusz
Mańko, Jacek
Tematy:
fuzzy sets
intuitionistic fuzzy sets
fuzzy event
probability of fuzzy event
application of probability of fuzzy event
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Data publikacji:
2013
Powiązania:
https://bibliotekanauki.pl/articles/904818.pdf  Link otwiera się w nowym oknie
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2013, 286
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Opis:
In the paper we present some conceptions of probability of fuzzy events, especially of intuitionistic fuzzy events and discuss them in one perspective and show the utility and helpfulness of using the probability calculus to a valuation of some economic situations. Section 1. Introduction. Probability of fuzzy events according to the idea of L.A. Zadeh. Section 2. Intuitionistic fuzzy sets of K. Atanassov. Section 3. Intuitionistic fuzzy event (IFE) and its probability according to the results of T. Gerstenkorn and J. Mańko. Section 4. Probability of IFE by using the theorems of decomposition and extension principle of D. Stoyanova. Section 5. Probability of IFE according to the ideas of E. Szmidt and J. Kacprzyk. Section 6. A large example showing utility and helpfulness of using a probability calculus to evaluation of some economic problems. A comparison of different results by using different methods of probability proposals. Section 7. Final remarks
Praca ma ukazać zastosowanie prawdopodobieństwa zdarzenia rozmytego do oceny pewnych sytuacji ekonomicznych. W części wstępnej artykułu zarysowano ogólną ideę tak zwanego zbioru rozmytego wprowadzoną do nauki i praktyki przez L.A. Zadeha w 1965 r. Koncepcja ta wyrosła na podstawie rozwijającej się od początków XX wieku logiki wielowartościowej przy wybitnym wkładzie w tej dziedzinie polskich uczonych. Zainteresowanie tą teorią w Polsce było i jest duże, i to podniesiono w rozdziale 1. W rozdziale 2 omówiono pewne uogólnienie teorii Zadeha zaproponowane przez K. Atanassova. Ukazano zalety wprowadzenia do rozważań oprócz tzw. funkcji przynależności także funkcji nieprzynależności elementu do pewnego zbioru, a w konsekwencji pojęcia tzw. marginesu niepewności, co odpowiada wielu sytuacjom spotykanym w praktyce. Zilustrowano to przykładami. Zbiory tak scharakteryzowane nazywa się intuicjonistycznymi rozmytymi lub dwoisto rozmytymi. Rozdział 3 omawia prawdopodobieństwo zdarzenia rozmytego na podstawie prac własnych Rozdziały 4 i 5 przedstawiają inne koncepcje prawdopodobieństwa niedawno zaproponowane. Rozdział 6 stanowi ilustrację sposobu obliczenia prawdopodobieństwa według różnych koncepcji w odniesieniu do problematyki ekonomicznej. Daje to obraz zalety prognozowania opartego na wiedzy. Rozdział 7 zawiera uwagi końcowe.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy decision making under transition from silence to confusion
Autorzy:
Uemura, Y.
Tematy:
fuzzy event
expected utility
decision making
silence
confusion
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Data publikacji:
2015
Powiązania:
https://bibliotekanauki.pl/articles/970058.pdf  Link otwiera się w nowym oknie
Źródło:
Control and Cybernetics; 2015, 44, 3; 407-411
0324-8569
Pojawia się w:
Control and Cybernetics
Opis:
We often fall into silence. After that, we make a decision through confusion, in most cases. In silence, cool mind runs parallel with warm heart. Traversing over these two, the phenomenon arises, chich can be interpreted as a fuzzy event, which can be called waver. In other words, two states of nature develop into conflict, and are covered by a fuzzy event. In confusion, we consider that the states of nature, which had been moving in conflict, not only undergo an inversion, but also a transformation takes place from warm heart into dry mind. It is therefore possible to derive a fuzzy function, resulting from the fuzzification of the transition matrix from silence to confusion, absorbing noise, and taking expectation to link the membership function with the multi-attribute utility function. This short note shows that we can calculate the expected utility by using both the probability of a fuzzy. event and the subjective importance of the two states of nature for the decision maker. Further, we can obtain an optimum action, based on the theory of maximum expected utility.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The bipolar choquet integrals based on ternary-element sets
Autorzy:
Abbas, J.
Tematy:
capacities
bi-capacities
choquet integral
bipolar choquet integrals
fuzzy event
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Data publikacji:
2016
Powiązania:
https://bibliotekanauki.pl/articles/91642.pdf  Link otwiera się w nowym oknie
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2016, 6, 1; 13-21
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Opis:
This paper first introduces a new approach for studying bi-capacities and the bipolar Choquet integrals based on ternary-element sets. In the second half of the paper, we extend our approach to bi-capacities on fuzzy sets. Then, we propose a model of bipolar Choquet integral with respect to bi-capacities on fuzzy sets, and we give some basic properties of this model.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Probabilistic fuzzy approach to evaluation of logistics service effectiveness
Autorzy:
Rudnik, K.
Pisz, I.
Tematy:
fuzzy expert systems
fuzzy hybrid systems
probabilistic fuzzy systems
probability of fuzzy event
logistics company
logistics service provider
logistics service
effectiveness
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Data publikacji:
2014
Powiązania:
https://bibliotekanauki.pl/articles/406962.pdf  Link otwiera się w nowym oknie
Źródło:
Management and Production Engineering Review; 2014, 5, 4; 66-75
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
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.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of normal possibility decision rule to silence
Autorzy:
Uemura, Y.
Tematy:
dwa uzupełniające się problemy decyzyjne
normalna teoria możliwości
zderzenie rozmyte
fuzzy event
normal possibility theory
two competing decision problems
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Data publikacji:
2001
Powiązania:
https://bibliotekanauki.pl/articles/206656.pdf  Link otwiera się w nowym oknie
Źródło:
Control and Cybernetics; 2001, 30, 4; 465-472
0324-8569
Pojawia się w:
Control and Cybernetics
Opis:
We often fall into silence. This often happens when we have two conflicting objectives and utilities, related to "cool head" and "warm heart" . This case has two different states of nature, associated with "cool head" and "warm heart" . We try to fuse the two decision problems referring to these different states of nature by introducing two-dimensional fuzzy events based on "cool head" and "warm heart" . We construct a decision rule based on one-dimensional fuzzy events. Thus, we propose the normal possibility decision rule based on the normal possibility theory. In the example of this paper, we consider fuzzy events named "astray" state and "lost" state, related to the "cool head" and "warm heart". We can obtain the fuzzy utility functions by the extension principle for a mapping, and the fuzzy expected utility functions by the extension principle for the sum and the product. We assume that the DM (decision-maker) defines the weights for the individual states of nature and the two problems. We make full use of these weights and the fuzzy utility functions are transformed into the one-dimensional function. As we make full use of indexes for ordering of fuzzy numbers, we can order the weighted fuzzy expected utility and select the optimal decision. For the example of this paper, we assume that the possibility of a fuzzy event is normal possibility distributed, and a DM is risk neutral. Consequently, both any fuzzy utility function and any fuzzy expected possibility function are normal possibility distributed. A decision rule is introduced, based on the ordering of only means of these normal possibility distributions for the fuzzy expected utilities, so that we do not need an index for ordering. When DM is of another type, the fuzzy expected possibility function is in general not normally possibility distributed. In this case, the DM needs the indexes for the ordering of the fuzzy numbers. This fuzzy-Bayes decision rule provides for a natural extension of the scope of our study by increasing the dimension of the possibility function of a fuzzy event.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Method of identifying a type 2 membership function and application to decision-making problems
Autorzy:
Uemura, Y.
Tematy:
type 2 membership function
fuzzy linear regression model
fuzzy log-linear regression model
fuzzy linear polynomial regression model
indifferent zone
decision rule on a fuzzy event
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Data publikacji:
2015
Powiązania:
https://bibliotekanauki.pl/articles/970059.pdf  Link otwiera się w nowym oknie
Źródło:
Control and Cybernetics; 2015, 44, 3; 399-406
0324-8569
Pojawia się w:
Control and Cybernetics
Opis:
Tanaka (1991) suggested that the parameters of a linear regression model should be made fuzzy In order to better reflect the nature of the system, involving a definite degree of variability, and created a fuzzy linear regression model. This model can be formulated in the form of a linear programming problem that minimizes the span between the upper and lower limits under the constraints that include all data. In recent years, all the attention in this context has been focused on a fuzzy number that has an indifferent zone. A fuzzy number that we consider here is defined by using a type 2 membership function. This paper addresses the fact that a type 2 membership function has the upper and lower limits and shows that a type 2 membership function can be identified by expanding a fuzzy linear regression model into a fuzzy linear polynomial regression model. Finally, after a proposed fuzzy polynomial model is identified, a mathematical model is developed for a fuzzy decision-making method that accounts for an indifferent zone.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Remarks on the generalized probability of the bifuzzy event
Uwagi o uogólnionym prawdopodobieństwie zdarzenia dwoistorozmytego
Autorzy:
Gerstenkorn, Tadeusz
Gerstenkorn, Joanna
Tematy:
bifuzzy (intuitionistic) event
generalized-probability
fuzzy set
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Data publikacji:
2008
Powiązania:
https://bibliotekanauki.pl/articles/907034.pdf  Link otwiera się w nowym oknie
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2008, 216
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Opis:
The presentation is a continuation of a paper at MSA’04 (T. Gerstenkorn, J. Gerstenkorn (2007)). In 1978 Ph. Smets proposed the so-called g-probability of a fuzzy event as a generalization of the L. Zadeh’s probability of 1968. In 1980 S. Heilpem also discusscd g-probability and analysed its properties. In 1992 Ph. Smets discussed once again the same his own problem and demonstrated its axiomatic properties. In this elaboration we desire to discuss the g-probability of the bifuzzy (intuitionistic) event and its properties as consistent with Kolmogoroff axiomatics.
Niniejsza prezentacja jest kontynuacją pracy pt. Probability of fuzzy event. Review of problems (Prawdopodobieństwo zdarzenia rozmytego. Przegląd zagadnień), przedstawionej na WAS'05 Acta Univ. Lodz., Folia Oeconomica 2007. W 1978 r. Philippe Smets zaproponował tzw. g-prawdopodobieństwo zdarzenia rozmytego jako pewne uogólnienie prawdopodobieństwa tegoż zdarzenia podanego Przez Lotfi Zadeha w 1968 r. W 1980 r. Stanisław Heilpem także rozważał g-prawdopodobieństwo i analizował jego własności. W 1982 r. Ph. Smets ponownie i szeroko rozpatrywał g-prawdopodobieństwo i dowodził jego aksjomatycznych własności. W przedstawianym opracowaniu pragniemy rozpatrzyć g-prawdopodobieństwo zdarzenia dwoistorozmytego (intuicjonistycznego) i jego własności jako zgodne z aksjomatyką Kołmogorowa.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Subjective risk estimation of the rare event
Autorzy:
Nguyen, Hoang
Tematy:
rare event
subjective risk estimation
intuitionistic fuzzy set
ship propulsion risk
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Data publikacji:
2019
Powiązania:
https://bibliotekanauki.pl/articles/241939.pdf  Link otwiera się w nowym oknie
Źródło:
Journal of KONES; 2019, 26, 1; 103-110
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Opis:
In the safety engineering, the most frequently disadvantage in risk estimation is the lack of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, they may have uncertainty in the perceiving and evaluation of the problem considered or limited knowledge of the rare events, such as the consequences of the seagoing ship propulsion failures. The probabilistic models of the risk estimation turn out to be insufficient in modelling the subjective uncertainty. The fuzzy methods are viewed to be powerful in dealing with ambiguity and uncertainty that can be used to handle with the subjective estimation. This article addresses the intuitionistic fuzzy method in the subjective estimation of the ship propulsion failure consequences as rare event risk. In the article, a subjective model of the ship propulsion risk is developed as scenarios of the different subsequent consequences of loss of ship propulsion function until a seriously severe accident resulting in loss of seaworthiness. The model proposes an approach combining AHP method and intuitionistic fuzzy method to assess the occurrence probability and severe probability of these rare events based on the expert opinions. In order to show the applicability of the proposed model, a study case of the propulsion risk of the container carrier operating on the North Atlantic lines is conducted.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic reliability assessment of a complex recovery system using fault tree, fuzzy inference and discrete event simulation
Autorzy:
Nobakhti, Abolghasem
Raissi, Sadigh
Damghani, Kaveh Khalili
Soltani, Roya
Tematy:
dynamic reliability assessment
Fault Tree Analysis (FTA)
Mamdani Fuzzy Inference Method
discrete event simulation
flare gas recovery system
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Data publikacji:
2021
Powiązania:
https://bibliotekanauki.pl/articles/2038031.pdf  Link otwiera się w nowym oknie
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 4; 593-604
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Opis:
Any failure on the recovery system will cause a lot of environmental damage as well as energy loss. Hereof two types of alternatives; fast opening valve system (FOVS) and seal drum system (SDS) may be installed. The focus of this article is on the decision stage to choose the most preferred option in terms of reliability assessment. The major challenge in the research problem is on changing the pressure and temperature during operational cycles, which significantly affect the reliability. In addition, the lack of historical data complicates the reliability assessment method. Hence, we proposed a hybrid approach using fault tree analysis (FTA) and the Mamdani fuzzy inference to estimate reliability response as a function of a few frequently operating pressure and temperature. Also, discrete-event simulation helped us to evaluate the system reliability at different operating conditions. The comparisons reveals that the FOVs outperforms on average of 22.4% than the SDS and it is recommended for putting into practice for purchasing.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Risk assessment of unfavorable interorganizational relationships in CSR projects considering the logistic aspects
Autorzy:
Krechowicz, Maria
Kiliańska, Katarzyna
Sobolewski, Artur
Tematy:
risk assessment
interorganizational relationships
Corporate Social Responsibility
fuzzy logic
logistics for the organization of a mass event
ocena ryzyka
relacje międzyorganizacyjne
Społeczna odpowiedzialność biznesu
logika rozmyta
logistyka organizacji imprezy masowej
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Data publikacji:
2022
Powiązania:
https://bibliotekanauki.pl/articles/27313500.pdf  Link otwiera się w nowym oknie
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2022, 162; 391--416
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Opis:
Purpose: The aim of this paper is to present a new model for risk assessment of unfavorable interorganizational relationships, among other things, in ventures classified as corporate social responsibility (CSR) projects. Design/methodology/approach: Scenario analysis, brainstorm sessions, literature study and own observations of interorganizational projects were used to develop a list of unwanted events and factors determining their occurrence. In the proposed risk assessment model, fault tree analysis and fuzzy logic were applied for qualitative and quantitative risk analysis. Thanks to applying the elements of fuzzy sets theory, it was possible to decrease the uncertainty and lack of precision in obtaining crisp values of the basic events’ probability. Findings: In this work 13 basic events and 41 risk factors determining occurrence of unfavorable interorganizational relationships in ventures were identified and described. The proposed model enabled to carry out qualitative and quantitative risk assessment of unfavorable interorganizational relationships projects. Its practical application was shown in an example of interorganizational CSR project concerning the organization of a mass event, considering its logistics aspects. Research limitations/implications: It is necessary to involve experts in risk assessment. This could be overcome by applying machine learning in future research. Practical implications: The application of the proposed model allows to effectively identify the critical risks, which should be of particular attention during the risk treatment stage. It aims to give a helping hand to all managers and practitioners who want to deliver attainable and successful interorganizational projects, supporting meeting the expectation of the engaged stakeholders. Social implications: Socially responsible activities contribute to solving and counteracting social problems. Originality/value: A novel risk assessment model of unfavorable interorganizational relationships in which 13 basic events and 41 risk determinants were considered. The model was presented at ventures classified as Corporate Social Responsibility projects.
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-10 z 10

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