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Katarzyna Rudnik
Katarzyna Rudnik
Zweryfikowany adres z po.opole.pl
Tytuł
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Cytowane przez
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Fuzzy TOPSIS method with ordered fuzzy numbers for flow control in a manufacturing system
K Rudnik, D Kacprzak
Applied Soft Computing, https://authors.elsevier.com/a/1UQ9e5aec, 2016
1132016
Ordered fuzzy WASPAS method for selection of improvement projects
K Rudnik, G Bocewicz, A Kucińska-Landwójtowicz, ID Czabak-Górska
Expert Systems with Applications 169, 114471, 2021
852021
A vision-based method utilizing deep convolutional neural networks for fruit variety classification in uncertainty conditions of retail sales
R Katarzyna, M Paweł
Applied Sciences 9 (19), 3971, 2019
542019
System with probabilistic fuzzy knowledge base and parametric inference operators in risk assessment of innovative projects
K Rudnik, AM Deptuła
Expert Systems with Applications 42 (17-18), 6365-6379, 2015
352015
An ordered-fuzzy-numbers-driven approach to the milk-run routing and scheduling problem
G Bocewicz, Z Banaszak, K Rudnik, C Smutnicki, M Witczak, R Wójcik
Journal of Computational Science 49, 101288, 2021
272021
Milk-run routing and scheduling subject to fuzzy pickup and delivery time constraints: An ordered fuzzy numbers approach
G Bocewicz, Z Banaszak, K Rudnik, M Witczak, C Smutnicki, J Wikarek
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-10, 2020
232020
Short-term modeling of carbon price based on fuel and energy determinants in EU ETS
K Rudnik, A Hnydiuk-Stefan, Z Li, Z Ma
Journal of Cleaner Production 417, 137970, 2023
192023
Probabilistic-fuzzy knowledge-based system for managerial applications
K Rudnik, A Walaszek-Babiszewska
Management and Production Engineering Review 3 (1), 49-61, 2012
142012
Fuzzy approach using experts’ psychological conditions to estimate the criteria importance for the assessment of innovative projects risk
AM Deptuła, K Rudnik
Management and Production Engineering Review 9, 2018
112018
Forecasting day-ahead carbon price by modelling its determinants using the PCA-based approach
K Rudnik, A Hnydiuk-Stefan, A Kucińska-Landwójtowicz, Ł Mach
Energies 15 (21), 8057, 2022
102022
Transport trolley control in a manufacturing system using simulation with the FSAW, FWASPAS and FTOPSIS methods
K Rudnik
Intelligent Systems in Production Engineering and Maintenance–ISPEM 2017 …, 2018
102018
ROZMYTA METODA TOPSIS WYKORZYSTUJĄCA SKIEROWANE LICZBY ROZMYTE
K RUDNIK, D KACPRZAK
XVIII Konferencja INNOWACJE W ZARZĄDZANIU I INŻYNIERII PRODUKCJI ZAKOPANE …, 2015
82015
Decision-making in a manufacturing system based on MADM methods
K Rudnik
Industry 4.0 2 (3), 104-107, 2017
72017
Classification of improvement project selection methods
A Kucińska-Landwójtowicz, I Czabak-Górska, K Rudnik, M Lorenc
International conference on quality engineering and management, 481-498, 2020
62020
Methods of improvement project selection: A literature survey
A Kucińska-Landwójtowicz, ID Czabak-Górska, K Rudnik
IFAC-papersonline 54 (1), 134-139, 2021
52021
Simulation versus an ordered–fuzzy-numbers-driven approach to the multi-depot vehicle cyclic routing and scheduling problem
G Bocewicz, Z Banaszak, C Smutnicki, K Rudnik, M Witczak, R Wójcik
International Conference on Computational Science, 251-266, 2020
52020
Usprawnienie procesu sterowania przepływem materiałów w magazynie z wykorzystaniem sieci Petriego
K Franczok, K Rudnik
Logistyka 4, 21-22, 2014
52014
A modified Apriori algorithm to generate rules for inference system with probabilistic-fuzzy knowledge base
A Walaszek-Babiszewska, K Błaszczyk
7th Workshop on Advanced Control and Diagnosis, 19-20, 2009
52009
Cyclic Dynamic Evaluation of Logistics Services Stakeholders Based on System with OFN Model
A Chwastyk, I Pisz, K Rudnik
Performance Evaluation Models for Distributed Service Networks, 105-131, 2021
42021
Usprawnienie przepływu materiałów w magazynie na przykładzie sterowania rozmytego
K Rudnik, K Franczok
Logistyka 4 (2014), 2014
42014
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