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Tytuł:
Statistical analysis of interval and imprecise data : applications in the analysis of reliability field data
Autorzy:
Hryniewicz, O.
Powiązania:
https://bibliotekanauki.pl/articles/2069621.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
reliability
statistical analysis
field data
interval data
fuzzy data
Opis:
The analysis of field lifetime data is much more complicated than the analysis of the results of reliability laboratory tests. In the paper we present an overview of the most important problems of the statistical analysis of field lifetime data, and present their solutions known from literature. When the input information is partial or imprecise, we propose to use interval arithmetics for the calculation of bounds on reliability characteristics of interest. When this information can be described in a more informative fuzzy form, we can generalize our interval-valued results to their fuzzy equivalents.
Źródło:
Journal of Polish Safety and Reliability Association; 2007, 1; 181--192
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bitmap based structures for the modeling of fuzzy entities
Autorzy:
Verstraete, J.
Tre, G. de
Hallez, A.
Powiązania:
https://bibliotekanauki.pl/articles/970481.pdf
Data publikacji:
2006
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
imprecise GIS
uncertain GIS
fuzzy data modelling
fuzzy bitmaps
Opis:
Bitmap models are a known technique to model field based geographic information. Commonly, geographic information is modelled in a crisp sense, even though in reality it most likely is an approximation. In this article, we present the use of bitmap based structures to model imprecise or uncertain locations and ditto regions: these structures should be considered to be extensions of respectively a point and a polygon. The imprecission or uncertainty is modelled using fuzzy set theory. Apart from presenting the structures, appropriate operators are denned and explained.
Źródło:
Control and Cybernetics; 2006, 35, 1; 147-164
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting the confidence interval of efficiency in fuzzy DEA
Autorzy:
Kafi, Azarnoosh
Daneshian, Behrouz
Rostamy-Malkhalifeh, Mohsen
Powiązania:
https://bibliotekanauki.pl/articles/2099435.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
data envelopment analysis
DEA
fuzzy data
efficiency
forecast
ranking
confidence interval
Opis:
Data envelopment analysis (DEA) is a well-known method that based on inputs and outputs calculates the efficiency of decision-making units (DMUs). Comparing the efficiency and ranking of DMUs in different periods lets the decision-makers prevent any loss in the productivity of units and improve the production planning. Despite the merits of DEA models, they are not able to forecast the efficiency of future periods with known input/output records of the DMUs. With this end in view, this study aims at proposing a forecasting algorithm with a 95% confidence interval to generate fuzzy data sets for future periods. Moreover, managers’ opinions are inserted in the proposed forecasting model. Equipped with the forecasted data sets and concerning the data sets from earlier periods, this model can rightly forecast the efficiency of the future periods. The proposed procedure also employs the simple geometric mean to discriminate between efficient units. Examples from a real case including 20 automobile firms show the applicability of the proposed algorithm.
Źródło:
Operations Research and Decisions; 2021, 31, 1; 41--59
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Flexible resampling for fuzzy data
Autorzy:
Grzegorzewski, Przemyslaw
Hryniewicz, Olgierd
Romaniuk, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/330936.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
bootstrap
fuzzy data
fuzzy number
fuzzy sample
imprecise data
resampling
dane rozmyte
liczba rozmyta
dane niedokładne
Opis:
In this paper, a new methodology for simulating bootstrap samples of fuzzy numbers is proposed. Unlike the classical bootstrap, it allows enriching a resampling scheme with values from outside the initial sample. Although a secondary sample may contain results beyond members of the primary set, they are generated smartly so that the crucial characteristics of the original observations remain invariant. Two methods for generating bootstrap samples preserving the representation (i.e., the value and the ambiguity or the expected value and the width) of fuzzy numbers belonging to the primary sample are suggested and numerically examined with respect to other approaches and various statistical properties.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 2; 281-297
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bootstrap methods for epistemic fuzzy data
Autorzy:
Grzegorzewski, Przemyslaw
Romaniuk, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/2134054.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
bootstrap method
fuzzy data
fuzzy numbers
hypotheses testing
metoda bootstrap
dane rozmyte
testowanie hipotez
Opis:
Fuzzy numbers are often used for modeling imprecise perceptions of the real-valued observations. Such epistemic fuzzy data may cause problems in statistical reasoning and data analysis. We propose a universal nonparametric technique, called the epistemic bootstrap, which could be helpful when the existing methods do not work or do not give satisfactory results. Besides the simple epistemic bootstrap, we develop its several refinements that aim to reduce the variance in statistical inference. We also perform an extended simulation study to examine statistical properties of the approaches considered. The discussion of the results is supplemented by some hints for practical use.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 2; 285--297
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Testing the Validity of the Travel and Tourism Competitiveness Index in the World Economic Forum with Classical and Fuzzy Data Envelopment Analyses
Autorzy:
Ozkoc, Hatice
Bakan, Hakan
Baldemir, Ercan
Powiązania:
https://bibliotekanauki.pl/articles/529679.pdf
Data publikacji:
2013
Wydawca:
Szkoła Główna Turystyki i Rekreacji
Tematy:
Travel & Tourism Competitiveness Index
Data Envelopment Analysis
Fuzzy Data Envelopment Analysis
Mediterranean Sea
World Economic Forum
Validity
Opis:
Tourism revenue is an extremely important source of income in terms of countries. At this point, each country competes with other countries in its selected field. The Travel and Tourism Competitiveness Index (TTCI) is an indicator which reveals who is better, and this index constitutes the order of countries. In this study focuses on the competitive ranking alternative to the Tourism Competitiveness Index (TTCI). Fuzzy Data Envelopment Analysis (FDEA) was used for this purpose.
Źródło:
Problemy Turystyki i Rekreacji; 2013, 4; 121-128
2084-5154
Pojawia się w:
Problemy Turystyki i Rekreacji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A fuzzy nonparametric Shewhart chart based on the bootstrap approach
Autorzy:
Wang, D.
Hryniewicz, O.
Powiązania:
https://bibliotekanauki.pl/articles/331218.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
Shewhart control chart
fuzzy data
bootstrap
average run length
karta kontrolna Shewharta
dane rozmyte
metoda bootstrap
Opis:
In this paper, we consider a nonparametric Shewhart chart for fuzzy data. We utilize the fuzzy data without transforming them into a real-valued scalar (a representative value). Usually fuzzy data (described by fuzzy random variables) do not have a distributional model available, and also the size of the fuzzy sample data is small. Based on the bootstrap methodology, we design a nonparametric Shewhart control chart in the space of fuzzy random variables equipped with some L2 metric, in which a novel approach for generating the control limits is proposed. The control limits are determined by the necessity index of strict dominance combined with the bootstrap quantile of the test statistic. An in-control bootstrap ARL of the proposed chart is also considered.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 2; 389-401
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayes statistical decisions with random fuzzy data – an application for the Weibull distribution
Rozmyto-bayesowski model podejmowania decyzji statystycznych – zastosowanie do rozkładu Weiulla
Autorzy:
Hryniewicz, O.
Kaczmarek, K.
Nowak, P.
Powiązania:
https://bibliotekanauki.pl/articles/302140.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
Bayesian statistics
fuzzy data
possibility measures
reliability
Weibull distribution
statystyka bayesowska
dane rozmyte
miary możliwości
niezawodność
rozkład Weibulla
Opis:
In the majority of decision models used in practice all input data are assumed to be precise. This assumption is made both for random results of measurements, and for constant parameters such as, e.g. costs related to decisions. In reality many of these values are reported in an imprecise way. When this imprecision cannot be related to randomness the fuzzy set theory yields tools for its description. It seems to be important to retain both types of uncertainty, random and fuzzy, while building mathematical models for making decisions. In the paper we propose a fuzzy-Bayesian model for making statistical decisions. In the proposed model the randomness of data is reflected in related risks, and fuzziness is described by possibility measures of dominance such as PSD (Possibility of Strict Dominance) and NSD (Necessity of Strict Dominance). The proposed model allows a decision-maker to reflect in his/hers decisions different types of uncertainty. The theoretical results have been applied in the case of reliability data described by the Weibull distribution.
W większości stosowanych w praktyce modeli decyzyjnych zakłada się, że wszystkie występujące w nich dane wejściowe są podane w sposób precyzyjny. Założenie to dotyczy zarówno losowych wyników pomiarów jak też i stałych parametrów, takich jak np. koszty podjętych decyzji. W rzeczywistości wiele z tych wartości jest podawanych w sposób nieprecyzyjny. Jeżeli taki brak precyzji nie ma charakteru losowego, to teoria zbiorów rozmytych dostarcza narzędzi do opisu tego zjawiska. Wydaje się rzeczą istotną, by przy tworzeniu matematycznych modeli podejmowania decyzji zachować oba typy niepewności: losowość i rozmytość. W pracy proponujemy rozmyto-bayesowski model podejmowania decyzji statystycznych. W proponowanym modelu losowość odpowiada za związane z podjęciem decyzji ryzyko, zaś rozmytość jest opisana przez miary możliwości dominacji, takie jak PSD (Możliwość Ścisłej Dominacji) oraz NSD (Konieczność Ścisłej Dominacji). Zaproponowany model pozwala decydentowi ująć w procesie podejmowania decyzji różne rodzaje niepewności. Rozważania teoretyczne zostały w pracy zastosowane do analizy danych niezawodnościowych opisanych rozkładem Weibulla.
Źródło:
Eksploatacja i Niezawodność; 2015, 17, 4; 610-616
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy modelling of temperature difference in 200 MW power unit condenser using genetic fuzzy systems
Autorzy:
Pająk, M.
Powiązania:
https://bibliotekanauki.pl/articles/970605.pdf
Data publikacji:
2008
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
learning
fuzzy models
genetic algorithms
fuzzy statistics and data analysis
large-scale systems
linguistic modelling
Opis:
Energy generation is one of the most complicated industrial processes. Because of its complexity, there is no accurate conventional model of a power unit. Fuzzy logic concepts might be effectively implemented in this field. In the paper a universal method of creating a fuzzy logic model is presented. To check the usefulness of the method in the case of real industrial issues, a fuzzy model of temperature difference in a condenser was automatically generated. The modelling experiment and the assessment of model quality are presented in the paper.
Źródło:
Control and Cybernetics; 2008, 37, 3; 565-583
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new mechanism for data visualization with TSK-type preprocessed collaborative fuzzy rule based system
Autorzy:
Prasad, M.
Liu, Y.-T.
Li, D.-L.
Lin, C. -T.
Shah, R. R.
Kaiwartya, O. P.
Powiązania:
https://bibliotekanauki.pl/articles/91743.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
fuzzy interference system
collaborative clustering
fuzzy logic
big data
data visualization
Opis:
A novel data knowledge representation with the combination of structure learning ability of preprocessed collaborative fuzzy clustering and fuzzy expert knowledge of TakagiSugeno-Kang type model is presented in this paper. The proposed method divides a huge dataset into two or more subsets of dataset. The subsets of dataset interact with each other through a collaborative mechanism in order to find some similar properties within eachother. The proposed method is useful in dealing with big data issues since it divides a huge dataset into subsets of dataset and finds common features among the subsets. The salient feature of the proposed method is that it uses a small subset of dataset and some common features instead of using the entire dataset and all the features. Before interactions among subsets of the dataset, the proposed method applies a mapping technique for granules of data and centroid of clusters. The proposed method uses information of only half or less/more than the half of the data patterns for the training process, and it provides an accurate and robust model, whereas the other existing methods use the entire information of the data patterns. Simulation results show the proposed method performs better than existing methods on some benchmark problems.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 1; 33-46
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
FUZZY CLASSIFICATION OF SYMBOLIC OBJECTS
Autorzy:
Machowska-Szewczyk, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/453644.pdf
Data publikacji:
2013
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
fuzzy classification
symbolic data
histogram-valued symbolic data
Opis:
The aim of this work is to present fuzzy clustering algorithm for objects, which can be described by mixed feature-type symbolic data and fuzzy data. The main idea is the transformation of mixed feature-type symbolic data and fuzzy data into histogram-valued symbolic data. Fuzzy classification is very useful in case, when classes are difficult separated, mixed objects can be classified into class with the fixed degree of membership.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2013, 14, 2; 51-60
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy models presentation and realization by means of relational systems
Autorzy:
Filatov, V.
Powiązania:
https://bibliotekanauki.pl/articles/410923.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
fuzzy set
fuzzy logic
fuzzy relational databases
intelligent systems
data mining
Opis:
The feature of the research is the proposed fuzzy models representation method by means of relational systems, which unlike the known approaches, can solve integrated data mining problems in databases and fuzzy systems.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2014, 3, 3; 99-102
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recent soft computing methods in software reliability engineering
Autorzy:
Albeanu, G.
Duda, G.
Powiązania:
https://bibliotekanauki.pl/articles/2069529.pdf
Data publikacji:
2011
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
fuzzy sets
intuitionistic fuzzy sets
intuitionistic fuzzy numbers
subjective data analysis
Opis:
This paper presents recent approaches in soft computing to manage imprecision and uncertainty which appear in software reliability engineering. Firstly, recent approaches like imprecise probabilities, generalized intervals, fuzzy sets and intuitionistic-fuzzy sets are shortly described, and the usage of intuitionistic fuzzy numbers for system reliability computation is shown. Intuitionistic-fuzzy approaches for software reliability growth models are proposed and experimental results are given.
Źródło:
Journal of Polish Safety and Reliability Association; 2011, 2, 1; 1--10
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data storage management using AI methods
Autorzy:
Funika, W.
Szura, P.
Powiązania:
https://bibliotekanauki.pl/articles/305446.pdf
Data publikacji:
2013
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
data management
AI
fuzzy logic
rules
data storage
Opis:
Data management and monitoring is an important issue in scientific computation. Scientists want to access their data as quickly as possible. Some experiments need to store a lot of data which have to be secure. By saying this we mean that this data can not disappear or be damaged also the data storage should be as cheap as possible. In this paper we present an approach to the automation of monitoring and management of data storage. We introduce a knowledge based system which is able to manage data, i.e., make decisions on migrating data, replicating or removing it. We discuss some of the existing solutions which are popular on the market. In this paper we aim to present our system which uses such AI techniques like fuzzy logic or a rule-based expert system to deal with data storage management. We exploit in this system a cost model to analyze the proposed solutions. The operations performed by our system are aimed to optimize the usage of the monitored infrastructure.
Źródło:
Computer Science; 2013, 14 (2); 177-190
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Travel Time Forecasting Based on Fuzzy Patterns
Autorzy:
Kiersztyn, Adam
Gandzel, Agnieszka Gandzel
Koczan, Leopold
Celiński, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/2023310.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
fuzzy clustering
travel time forecasting
fuzzy patterns
transportation data
Opis:
Estimating travel time is one of the most important processes in logistics as well as in everyday life. In particular, when it comes to transportation services, efficient time management can be a competitive advantage, not to mention customer satisfaction, which can be easily translated into business success. Therefore, in this study we analyze various travel time estimation methods in combination with a well-known Fuzzy C-Means clustering algorithm. The proposed FCM-based solution has significant advantages, allowing for the determination of the optimal travel time. In an extensive numerical experiment, we present the application of the proposed method to estimate the time of a taxi trip around New York. Due to division of the city area into detailed areas and taking into account information about the travel time in the analysis, a model was obtained, that perfectly forecasts speed of taxi travel. In this study we consider various, competitive approaches to build such a model.
Źródło:
Advances in Science and Technology. Research Journal; 2021, 15, 3; 224-232
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 64

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