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Wyświetlanie 1-4 z 4
Tytuł:
Multi-Criteria Decision Analysis (MCDA) methods in Life-Cycle Assessment (LCA) : a comparison of private passenger vehicles
Autorzy:
Macioł, A.
Rębiasz, B.
Powiązania:
https://bibliotekanauki.pl/articles/406360.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
environmental indicators
life cycle assessment (LCA)
LCA
multicriteria decision analysis
MCDA
rule-based MCDA
fuzzy reasoning in MCDA
Opis:
Analogies between the life cycle assessment (LCA) and multicriteria decision analysis (MCDA) methodologies have been discussed as well as LCA as an MCDA problem for resolving the trade-offs between multiple environmental objectives. The objective of this study is to compare a variety of specialised multicriteria methods and knowledge-based methods used to aggregate the results from LCA. The studies were conducted using examples of LCA on private passenger vehicles. The research used two classical methods for multicriteria decision making (AHP and TOPSIS), the method of conventional (crisp) reasoning and Mamdani’s method of fuzzy inference. The results demonstrate that among the methods analysed, only crisp reasoning does not provide satisfactory results.
Źródło:
Operations Research and Decisions; 2018, 28, 1; 5-26
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid correlated data in risk assessment
Autorzy:
Rębiasz, B.
Powiązania:
https://bibliotekanauki.pl/articles/406391.pdf
Data publikacji:
2015
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
risk
interactive fuzzy numbers
random fuzzy numbers
simulation
Opis:
A method for evaluating the risks in a situation has been presented where parameters in the calculation are expressed in the form of dependent fuzzy numbers and probability distributions. The procedure of risk estimation combines stochastic simulation with the execution of arithmetic operations on interactive fuzzy numbers. In order to define operations on such numbers, non-linear programming is used. Relations between the parameters presented in the form of fuzzy numbers and probability distributions are expressed by means of interval regression. The results of computations indicate that the relations between parameters have a significant impact on the ratios characterizing risk.
Źródło:
Operations Research and Decisions; 2015, 25, 1; 81-101
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
New method of selecting efficient project portfolios in the presence of hybrid uncertainty
Autorzy:
Rębiasz, B.
Powiązania:
https://bibliotekanauki.pl/articles/406365.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
portfolio selection
data processing
hybrid uncertainty
random fuzzy sets
Opis:
A new methods of selecting efficient project portfolios in the presence of hybrid uncertainty has been presented. Pareto optimal solutions have been defined by an algorithm for generating project portfolios. The method presented allows us to select efficient project portfolios taking into account statistical and economic dependencies between projects when some of the parameters used in the calculation of effectiveness can be expressed in the form of an interactive possibility distribution and some in the form of a probability distribution. The procedure for processing such hybrid data combines stochastic simulation with nonlinear programming. The interaction between data are modeled by correlation matrices and the interval regression. Economic dependences are taken into account by the equations balancing the production capacity of the company. The practical example presented indicates that an interaction between projects has a significant impact on the results of calculations.
Źródło:
Operations Research and Decisions; 2016, 26, 4; 65-90
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Valuing managerial flexibility : an application of real-option theory to steel industry investments
Autorzy:
Rębiasz, B.
Gaweł, B.
Skalna, I.
Powiązania:
https://bibliotekanauki.pl/articles/406282.pdf
Data publikacji:
2017
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
real options
switch options
stochastic processes
investment decision
Monte Carlo simulation
opcje realne
przełączniki
procesy stochastyczne
decyzja inwestycyjna
symulacja Monte Carlo
Opis:
In the steel industry which is subject to significant volatility in its output prices and market demands for different ranges of products the diversification of production can generate important value for switch real options. Therefore, a common practice is to invest in various assets, thus generating the possibility of diversification of production and valuable switch options. The incremental benefit of product switch options in steel plant projects has been assessed. Such options are valued using the Monte Carlo simulation and modeling the prices of and demand for steel products as geometric Brownian motion (GBM). Our results show that this option can generate a significant increase in the net present value (NPV) of metallurgical projects.
Źródło:
Operations Research and Decisions; 2017, 27, 2; 91-111
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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