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 | 113 | 2016 |
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 | 85 | 2021 |
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 | 54 | 2019 |
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 | 35 | 2015 |
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 | 27 | 2021 |
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 | 23 | 2020 |
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 | 19 | 2023 |
Probabilistic-fuzzy knowledge-based system for managerial applications K Rudnik, A Walaszek-Babiszewska Management and Production Engineering Review 3 (1), 49-61, 2012 | 14 | 2012 |
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 | 11 | 2018 |
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 | 10 | 2022 |
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 | 10 | 2018 |
ROZMYTA METODA TOPSIS WYKORZYSTUJĄCA SKIEROWANE LICZBY ROZMYTE K RUDNIK, D KACPRZAK XVIII Konferencja INNOWACJE W ZARZĄDZANIU I INŻYNIERII PRODUKCJI ZAKOPANE …, 2015 | 8 | 2015 |
Decision-making in a manufacturing system based on MADM methods K Rudnik Industry 4.0 2 (3), 104-107, 2017 | 7 | 2017 |
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 | 6 | 2020 |
Methods of improvement project selection: A literature survey A Kucińska-Landwójtowicz, ID Czabak-Górska, K Rudnik IFAC-papersonline 54 (1), 134-139, 2021 | 5 | 2021 |
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 | 5 | 2020 |
Usprawnienie procesu sterowania przepływem materiałów w magazynie z wykorzystaniem sieci Petriego K Franczok, K Rudnik Logistyka 4, 21-22, 2014 | 5 | 2014 |
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 | 5 | 2009 |
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 | 4 | 2021 |
Usprawnienie przepływu materiałów w magazynie na przykładzie sterowania rozmytego K Rudnik, K Franczok Logistyka 4 (2014), 2014 | 4 | 2014 |