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Wyszukujesz frazę "fuzzy function" wg kryterium: Temat


Tytuł:
Fuzzy regression approach to road safety analysis at regional level
Autorzy:
Smolarek, L.
Wachnicka, J.
Powiązania:
https://bibliotekanauki.pl/articles/2069509.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
road safety
fatality rate
regions
factors
modelling
Europe
fuzzy function
Poisson model
Opis:
Road safety modelling on regional level of NUTS 2 in the EU is the complex issue ant authors of this article indicate this in previous publications. During multivariate models development they discovered that it is difficult to make regression model well described all regions, even if they are from one country. In the first step Poisson model of road fatality rate as fatalities per 100 thou of citizens was prepared. In this article was presented the fuzzy regression approach to estimate lover and upper bounds of the modeled value.
Źródło:
Journal of Polish Safety and Reliability Association; 2014, 5, 2; 121--126
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Supporting decisions on the Forex market using fuzzy approach
Autorzy:
Juszczuk, Przemysław
Kruś, Lech
Powiązania:
https://bibliotekanauki.pl/articles/384399.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
trading system
Forex
fuzzy membership function
multicriteria analysis
Opis:
A new concept of the multicriteria fuzzy trading system using the technical analysis is proposed. The existing trading systems use different indicators of the technical analysis and generate buy or sell signal only when assumed conditions for a given indicator are satisfied. The information presented to the trader – decision maker is binary. The decision maker obtains a signal or no. In comparison to the existing traditional systems called as crisp, the proposed system treats all considered indicators jointly using the multicriteria approach and the binary information is extended with the use of the fuzzy approach. Currency pairs are considered as variants in the multicriteria space in which criteria refer to different technical indicators. The introduced domination relation allows generating the most efficient, non‐dominated (Pareto optimal) variants in the space. An algorithm generated these non-dominated variants is proposed. It is implemented in a computer‐based system assuring the sovereignty of the decision maker. We compare the proposed system with the traditional crisp trading system. It is made experimentally on different sets of real‐world data for three different types of trading: short‐term, medium and long‐term trading. The achieved results show the computational efficiency of the proposed system. The proposed approach is more robust and flexible than the traditional crisp approach. The set of variants derived for the decision maker in the case of the proposed approach includes only non‐dominated variants, what is not possible in the case of the traditional crisp approach. The reservation point and its impact on the overall results are measured with the use of the sensitivity analysis.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 2; 50-62
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Pattern recognition of sacroileitis with the use of multistage logic with a fuzzy loss function
Autorzy:
Burduk, R.
Powiązania:
https://bibliotekanauki.pl/articles/1965805.pdf
Data publikacji:
2004
Wydawca:
Politechnika Gdańska
Tematy:
multistage classifier
sacroiletis
fuzzy loss function
k-nearest neighbor method
Opis:
The article describes the problem of pattern recognition of sacroileitis. Classification is based on a scheme of multistage recognition with a fuzzy loss function dependent on the node of the decision tree. Decision rules are based on k-nearest neighbors at particular internal nodes of the decision-tree. Paper presents influence of comparison fuzzy numbers on classifications results.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2004, 8, 2; 217-221
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatio-temporal soil quality assessment under crop rotation irrigated with treated urban wastewater using fuzzy modelling
Autorzy:
Ghaemi, M.
Astaraei, A.R.
Mahalati, M.N.
Emami, H.
Sanaeinejad, H.H.
Powiązania:
https://bibliotekanauki.pl/articles/24657.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
spatio-temporal property
soil quality
assessment
crop rotation
irrigation
urban waste water
fuzzy model
fuzzy function
treated waste water
Opis:
Quantifying soil quality is important for asses- sing soil management practices effects on spatial and temporal variability of soil quality at the field scale. We studied the pos- sibility of defining a simple and practical fuzzy soil quality index based on biological, chemical and physical indicators for assessing quality variations of soil irrigated with well water and treated urban wastewater during two experimental years. In this study 6 proper- ties considered as minimum data set were selected out of 18 soil properties as total data set using the principal component analysis. Treated urban wastewater use had greater impact on biological and chemical quality. The results showed that the studied minimum data set could be a suitable representative of total data set. Significant correlation between the fuzzy soil quality index and crop yield (R 2 = 0.72) indicated the index had high biological significance for studied area. Fuzzy soil quality index approach (R 2 = 0.99) could be effectively utilized as a tool leading to better understanding soil quality changes. This is a first trial of creation of a universal index of soil quality undertaken.
Źródło:
International Agrophysics; 2014, 28, 3
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Case of fuzzy loss function in multistage recognition algorithm
Autorzy:
Burduk, R.
Powiązania:
https://bibliotekanauki.pl/articles/333187.pdf
Data publikacji:
2003
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
wielostopniowe rozpoznawanie wzorców
rozmyta utrata funkcji
zasada Bajesowska
multistage pattern recognition
fuzzy loss function
Bayes' rule
Opis:
The work deals with a recognition problem using a probabilistic-fuzzy model and multistage decision logic. A case where a loss function is described using fuzzy numbers has been considered. The globally optimal Bayes strategy has been calculated for this case with stage-dependent and dependent on the node of the decision tree fuzzy loss function. The obtained result is illustrated by a calculation example in which some methods for ranking fuzzy numbers were used.
Źródło:
Journal of Medical Informatics & Technologies; 2003, 5; MI107-112
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reliability assessment of wind turbine generators by fuzzy universal generating function
Autorzy:
Huang, Tudi
Xiahou, Tangfan
Li, Yan-Feng
Qian, Hua-Ming
Liu, Yu
Huang, Hong-Zhong
Powiązania:
https://bibliotekanauki.pl/articles/1841742.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
reliability assessment
double fed induction generator
multi-state system
fuzzy universal generating function
Opis:
Wind power has been widely used in the past decade because of its safety and cleanness. Double fed induction generator (DFIG), as one of the most popular wind turbine generators, suffers from degradation. Therefore, reliability assessment for this type of generator is of great significance. The DFIG can be characterized as a multi-state system (MSS) whose components have more than two states. However, due to the limited data and/or vague judgments from experts, it is difficult to obtain the accurate values of the states and thus it inevitably contains epistemic uncertainty. In this paper, the fuzzy universal generating function (FUGF) method is utilized to conduct the reliability assessment of the DFIG by describing the states using fuzzy numbers. First, the fuzzy states of the DFIG system’s components are defined and the entire system state is calculated based the system structure function. Second, all components’ states are determined as triangular fuzzy numbers (TFN) according to experts’ experiences. Finally, the reliability assessment of the DFIG based on the FUGF is conducted.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 308-314
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
T–S fuzzy BIBO stabilisation of non-linear systems under persistent perturbations using fuzzy Lyapunov functions and non-PDC control laws
Autorzy:
Salcedo, José V.
Martínez, Miguel
García-Nieto, Sergio
Hilario, Adolfo
Powiązania:
https://bibliotekanauki.pl/articles/330030.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
linear matrix inequalities
Takagi–Suegno fuzzy system
fuzzy Lyapunov function
integral delayed Lyapunov function
nonparallel distributed fuzzy controller
generalised inescapable ellipsoids
liniowe nierówności macierzowe
model rozmyty Takagi-Sugeno
funkcja Lapunowa
Opis:
This paper develops an innovative approach for designing non-parallel distributed fuzzy controllers for continuous-time non-linear systems under persistent perturbations. Non-linear systems are represented using Takagi–Sugeno fuzzy models. These non-PDC controllers guarantee bounded input bounded output stabilisation in closed-loop throughout the computation of generalised inescapable ellipsoids. These controllers are computed with linear matrix inequalities using fuzzy Lyapunov functions and integral delayed Lyapunov functions. LMI conditions developed in this paper provide non-PDC controllers with a minimum ⋆-norm (upper bound of the 1-norm) for the T–S fuzzy system under persistent perturbations. The results presented in this paper can be classified into two categories: local methods based on fuzzy Lyapunov functions with guaranteed bounds on the first derivatives of membership functions and global methods based on integral-delayed Lyapunov functions which are independent of the first derivatives of membership functions. The benefits of the proposed results are shown through some illustrative examples.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 529-550
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of the Residual Bagging Height using the Regression Technique and Fuzzy Theory
Ocena wysokości odkształcenia przy wypychaniu dzianin metodą regresji i teorii zbiorów rozmytych
Autorzy:
Jaouachi, B.
Powiązania:
https://bibliotekanauki.pl/articles/232523.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Tematy:
bagging
knitted fabric
residual height
fuzzy membership function
regression
pakowanie
dzianina
wysokość odkształcenia
wypychanie dzianin
teoria zbiorów rozmytych
regresja
Opis:
This paper deals with the evaluation of the residual bagging height using the fuzzy theory method. An experimental design was used to objectively evaluate the effect of input parameters on the residual bagging height of knitted fabrics using two different yarn structures without and within elastane filament. Our findings show that among the overall input parameters tested, two are influential. In our experimental design the fuzzy theory method was applied using five different membership functions: triangular-shaped, trapezoidal function, Gaussian, generalized-bell and Đ-shaped . To prove our results, the experimental regression technique and fuzzy theory were compared. In addition, among the other membership functions tested, the triangular membership function gives a more effective evaluation and widely fits to residual bagging height behaviour.
Praca opisuje ocenę wysokości odkształcenia przy wypychaniu dzianin przy zastosowaniu teorii zbiorów rozmytych. Eksperymentalny system został opracowany do oceny wpływu parametrów wyjściowych. Do badań przyjęto dzianiny wykonane z dwóch rodzajów przędzy, z oraz bez elastomerowego składnika. Nasze wyniki pokazują, że spośród wszystkich badanych parametrów wejściowych 2 posiadają istotne znaczenie. Do badań korzystano z metody zbiorów rozmytych stosując 5 różnych funkcji przynależności: trójkątną, trapezoidalną, Gaussowską, dzwonową oraz typu Pi. Dla oceny uzyskanych wyników przeprowadzono porównanie danych uzyskanych z teorii zbiorów rozmytych oraz techniki regresji danych doświadczalnych. Stwierdzono, że najlepsze rezultaty uzyskano stosując metodę trójkątnej funkcji przynależności, przy której korelacja z danymi eksperymentalnymi wysokości odkształcenia przy wypychaniu była największa.
Źródło:
Fibres & Textiles in Eastern Europe; 2013, 4 (100); 92-98
1230-3666
2300-7354
Pojawia się w:
Fibres & Textiles in Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical distributions and reliability functions with type-2 fuzzy parameters
Rozkłady statystyczne i funkcje niezawodności o parametrach rozmytych typu-2
Autorzy:
Khaniyev, Tahir
Baskir, M. Bahar
Gokpinar, Fikri
Mirzayev, Farhad
Powiązania:
https://bibliotekanauki.pl/articles/301821.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
type-2 fuzzy number
type-2 fuzzy parameters
(α,β)-cuts
fuzzy probability distribution
fuzzy reliability function
liczba rozmyta typu-2
parametry rozmyte typu-2
(α,β) -cięcia
rozmyty rozkład prawdopodobieństwa
rozmyta funkcja niezawodności
Opis:
Type-2 fuzzy sets were initially given by Zadeh as an extension of type-1 fuzzy sets. There is a growing interest in type-2 fuzzy set and its memberships (named secondary memberships) to handle the uncertainty in type-1 fuzzy set and its primary membership values. However, arithmetical operators on type-2 fuzzy sets have computational complexity due to third dimension of these sets. In this study, we present some mathematical operators which can be easily applied to type-2 fuzzy sets and numbers. Also, mathematical functions of type-2 fuzzy numbers are given according to their monotonicity. These functions are adapted to reliability and distribution functions of the random variables with the type-2 fuzzy parameters. These functions are applied to Exponential, Chi-square, Weibull distributions with respect to monotonicity of the parameters of these distributions.
Zbiory rozmyte typu 2 po raz pierwszy zaproponował Zadeh jako rozszerzenie zbiorów rozmytych typu 1. Zbiory rozmyte typu 2 oraz ich funkcje przynależności (zwane wtórnymi funkcjami przynależności) cieszą się rosnącym zainteresowaniem, ponieważ pozwalają na modelowanie niepewności w zbiorze rozmytym typu 1 oraz wartości pierwotnych funkcji przynależności do takiego zbioru. Ich wadą jest złożoność obliczeniowa operatorów arytmetycznych wynikająca z trójwymiarowości tych zbiorów. W artykule przedstawiono operatory matematyczne, które można z powodzeniem stosować w odniesieniu do zbiorów i liczb rozmytych typu 2. Podano również funkcje matematyczne liczb rozmytych typu 2 zgodnie z ich monotonicznością. Funkcje te są dostosowane do funkcji niezawodności i rozkładu zmiennych losowych z parametrami rozmytymi typu 2. Można je stosować do opisu rozkładów wykładniczych, chi-kwadrat, oraz Weibulla w odniesieniu do monotoniczności parametrów tych rozkładów.
Źródło:
Eksploatacja i Niezawodność; 2019, 21, 2; 268-274
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of membership function’s shape on portfolio optimization results
Autorzy:
Rutkowska, A.
Powiązania:
https://bibliotekanauki.pl/articles/91535.pdf
Data publikacji:
2016
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
fuzzy variable
membership function
fuzzy portfolio optimization
Opis:
Portfolio optimization, one of the most rapidly growing field of modern finance, is selection process, by which investor chooses the proportion of different securities and other assets to held. This paper studies the influence of membership function’s shape on the result of fuzzy portfolio optimization and focused on portfolio selection problem based on credibility measure. Four different shapes of the membership function are examined in the context of the most popular optimization problems: mean-variance, mean-semivariance, entropy minimization, value-at-risk minimization. The analysis takes into account both: the study of necessary and sufficient conditions for the existence of extremes, as well as the statistical inference about the differences based on simulation.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2016, 6, 1; 45-54
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Analytical Study for the Role of Fuzzy Logic in Improving Metaheuristic Optimization Algorithms
Autorzy:
Vij, Sonakshi
Jain, Amita
Tayal, Devendra
Castillo, Oscar
Powiązania:
https://bibliotekanauki.pl/articles/385121.pdf
Data publikacji:
2018
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
fuzzy logic
metaheuristics
evolutionary computing
genetic algorithm
particle swarm optimization (PSO)
ant colony optimization
fuzzy evolutionary algorithm
fuzzy cuckoo
fuzzy simulated annealing
fuzzy swarm intelligence
fuzzy differential evolution
tabu
fuzzy mutation
fuzzy natural selection
fuzzy fitness function
big bang big crunch
fuzzy bacterial
neuro fuzzy logic
logika rozmyta
metaheurystyka
obliczenia ewolucyjne
algorytm genetyczny
optymalizacja roju cząstek
optymalizacja kolonii mrówek
Opis:
The research applications of fuzzy logic have always been multidisciplinary in nature due to its ability in handling vagueness and imprecision. This paper presents an analytical study in the role of fuzzy logic in the area of metaheuristics using Web of Science (WoS) as the data source. In this case, 178 research papers are extracted from it in the time span of 1989-2016. This paper analyzes various aspects of a research publication in a scientometric manner. The top cited research papers, country wise contribution, topmost organizations, top research areas, top source titles, control terms and WoS categories are analyzed. Also, the top 3 fuzzy evolutionary algorithms are extracted and their top research papers are mentioned along with their topmost research domain. Since neuro fuzzy logic poses feasible options for solving numerous research problems, hence a section is also included by the authors to present an analytical study regarding research in it. Overall, this study helps in evaluating the recent research patterns in the field of fuzzy metaheuristics along with envisioning the future trends for the same. While on one hand this helps in providing a new path to the researchers who are beginners in this field as they can start exploring it through the analysis mentioned here, on the other hand it provides an insight to professional researchers too who can dig a little deeper in this field using knowledge from this study.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 4; 11-27
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A modified ranking approach for solving fuzzy critical path problems with LR flat fuzzy numbers
Autorzy:
Kaur, P.
Kumar, A.
Powiązania:
https://bibliotekanauki.pl/articles/206258.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
fuzzy critical path problems
ranking function
LR fuzzy numbers
LR flat fuzzy numbers
Opis:
There are several fuzzy critical path methods for solving fuzzy critical path problems in which ranking approaches are used for comparing fuzzy numbers. In this paper, it is shown that if the existing ranking approaches are used for solving such fuzzy critical path problems in which duration times of activities are represented by LR flat fuzzy numbers, then more than one fuzzy numbers, representing the fuzzy project completion time, are ob- tained and a new ranking approach for comparing LR flat fuzzy numbers is proposed. Also, it is proved that if the proposed rank- ing approach is used for solving fuzzy critical path problems then a unique fuzzy number, representing the fuzzy project completion time, is obtained.
Źródło:
Control and Cybernetics; 2012, 41, 1; 171-190
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of Algorithms for Decision Making Problems and Preservation of α-properties of Fuzzy Relations in Aggregation Process
Autorzy:
Bentkowska, U.
Balicki, K.
Powiązania:
https://bibliotekanauki.pl/articles/950912.pdf
Data publikacji:
2016
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
decision making algorithms
fuzzy relations
properties of fuzzy relations
aggregation function
Opis:
In the paper the problem of preservation of properties of fuzzy relations during aggregation process is considered. It means that properties of fuzzy relations R1, … , R2 on a set X are compared with properties of the aggregated fuzzy relation RF = F(R1, … , R2), where R is a function of the type F ∶ [0, 1]n → [0, 1]. There are discussed α-properties (which may be called graded properties - to some grade R) as reflexivity, irreflexivity, symmetry, asymmetry, antisymmetry, connectedness and transitivity, where α ∈ [0, 1]. Fuzzy relations with a given graded property are analyzed (there may be diverse grades of the same property) and the obtained grade of the aggregated fuzzy relation is provided. There is also discussed the „converse” problem. Namely, relation RF = F(R1, … , Rn) is assumed to have a graded property and the properties of relations R1, … , Rn are examined (possibly with some assumptions on F). Presented here considerations have possible applications in decision making algorithms. This is why interpretation of the considered graded properties and possible potential in decision making is presented.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 2; 25-39
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Current aspects of mathematical modelling of evaluating quality of agricultural products
Autorzy:
Lysa, O.
Powiązania:
https://bibliotekanauki.pl/articles/410740.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
target function
fuzzy restriction
vector-optimizing model
Opis:
The paper presents mathematical model of complex evaluation of the quality of production with optimizing indicators of crop growing. Multicriterion model is reduced to the problem of optimizing with the predetermined target function which considers almost all parameters of the prodution quality. The model takes into account limits of modifications of quality characteristics of production by introducing the indistinct description of the quality characteristics of productions. The model was developed on the example of evaluating quality of the barley grain.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2014, 3, 4; 59-62
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Model of Correspondence of Passenger Transportation on the Basis of Fuzzy Logic
Autorzy:
Fornalchyk, Ye.
Bilous, A.
Demchuk, I.
Powiązania:
https://bibliotekanauki.pl/articles/410734.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
fuzzy logic
transportation correspondence
membership function
basis of fuzzy rules
route attractiveness
Opis:
The article dwells upon possibilities of the implementation of smooth calculation methods for predicting the demand for passenger transportation. The developed model which is based on fuzzy logic successfully solves the problem with traffic assignment – formation of passenger throughput for each traffic route. The model of correspondence takes into account such defining factors as fare on the route, average headway on it and fullness of the vehicle saloon. Different combination of these factors forms attractiveness as a criterion of an optimal route for a prospective passenger. It is determined that the lower saloon fullness, transportation fare and headway, the higher attractiveness is. Using the reasoned criterion, it is possible to allocate the total number of prospective passengers according to each existing route.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2015, 4, 2; 59-64
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł

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