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Jakub Wieckowski
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2020 – today
- 2024
- [j10]Jakub Wieckowski, Wojciech Salabun:
Version [1.1]- [pyFDM: A python library for uncertainty decision analysis methods]. SoftwareX 25: 101607 (2024) - [j9]Jakub Wieckowski, Bartlomiej Kizielewicz, Witold Chmielarz, Wojciech Salabun:
Version [1.1]- [Handling decision-making in intuitionistic fuzzy environment: PyIFDM package]. SoftwareX 25: 101620 (2024) - 2023
- [j8]Jakub Wieckowski, Wojciech Salabun:
Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review. Appl. Soft Comput. 148: 110915 (2023) - [j7]Jakub Wieckowski, Bartlomiej Kizielewicz, Andrii Shekhovtsov, Wojciech Salabun:
RANCOM: A novel approach to identifying criteria relevance based on inaccuracy expert judgments. Eng. Appl. Artif. Intell. 122: 106114 (2023) - [j6]Jakub Wieckowski, Bartlomiej Kizielewicz, Bartosz Paradowski, Andrii Shekhovtsov, Wojciech Salabun:
Application of Multi-Criteria Decision Analysis to Identify Global and Local Importance Weights of Decision Criteria. Int. J. Inf. Technol. Decis. Mak. 22(6): 1867-1892 (2023) - [j5]Jakub Wieckowski, Bartlomiej Kizielewicz, Wojciech Salabun:
Handling decision-making in Intuitionistic Fuzzy environment: PyIFDM package. SoftwareX 22: 101344 (2023) - [c31]Bartlomiej Kizielewicz, Jakub Wieckowski, Jaroslaw Jankowski:
MLP-COMET-based decision model re-identification for continuous decision-making in the complex network environment. FedCSIS 2023: 591-602 - [c30]Jakub Wieckowski, Wojciech Salabun:
How to Support Sport Management with Decision Systems? Swimming Athletes Assessment Study Sase. ICONIP (9) 2023: 150-161 - [c29]Bartlomiej Kizielewicz, Jakub Wieckowski, Bartosz Paradowski, Andrii Shekhovtsov, Wojciech Salabun:
Determination of Local and Global Decision Weights Based on Fuzzy Modeling. ICONIP (1) 2023: 188-200 - [c28]Jakub Wieckowski, Bartosz Paradowski, Bartlomiej Kizielewicz, Andrii Shekhovtsov, Wojciech Salabun:
Decision Support System Based on MLP: Formula One (F1) Grand Prix Study Case. ICONIP (1) 2023: 265-276 - [c27]Jakub Wieckowski, Wojciech Salabun:
Evaluation of Football Players' Performance Based on Multi-Criteria Decision Analysis Approach and Sensitivity Analysis. ICONIP (3) 2023: 602-613 - 2022
- [j4]Wojciech Salabun, Jakub Wieckowski, Jaroslaw Watróbski:
Swimmer Assessment Model (SWAM): Expert System Supporting Sport Potential Measurement. IEEE Access 10: 5051-5068 (2022) - [j3]Jakub Wieckowski, Bartlomiej Kizielewicz, Wojciech Salabun:
pyFDM: A Python library for uncertainty decision analysis methods. SoftwareX 20: 101271 (2022) - [c26]Bartlomiej Kizielewicz, Bartosz Paradowski, Jakub Wieckowski, Wojciech Salabun:
Identification of weights in multi-cteria decision problems based on stochastic optimization. AMCIS 2022 - [c25]Andrii Shekhovtsov, Bartosz Paradowski, Jakub Wieckowski, Bartlomiej Kizielewicz, Wojciech Salabun:
Extension of the SPOTIS method for the rank reversal free decision-making under fuzzy environment. CDC 2022: 5595-5600 - [c24]Bartosz Paradowski, Bartlomiej Kizielewicz, Jakub Wieckowski, Wojciech Salabun:
A Sustainable Approach for Determining Compromise Ranking Based on Intuitonistic Fuzzy Score Functions. ISM@FedCSIS 2022: 192-211 - [c23]Bartlomiej Kizielewicz, Bartosz Paradowski, Jakub Wieckowski, Wojciech Salabun:
Towards the identification of MARCOS models based on intuitionistic fuzzy score functions. FedCSIS 2022: 789-798 - [c22]Jakub Wieckowski, Bartosz Paradowski, Bartlomiej Kizielewicz, Andrii Shekhovtsov, Wojciech Salabun:
An Application of MCDA Methods in Sustainable Information Systems. ICONIP (6) 2022: 377-388 - [c21]Jakub Wieckowski, Jaroslaw Watróbski, Bartosz Paradowski, Bartlomiej Kizielewicz, Andrii Shekhovtsov, Wojciech Salabun:
Decision Support System for Sustainable Transport Development. ICONIP (6) 2022: 389-397 - [c20]Jakub Wieckowski, Zdzislaw Szyjewski:
Practical Study of Selected Multi-Criteria Methods Comparison. KES 2022: 4565-4573 - [c19]Robert Król, Jakub Wieckowski, Jaroslaw Watróbski:
Accuracy of the TOPSIS Method with Different Input Data. KES 2022: 4574-4583 - [c18]Jakub Wieckowski, Robert Król, Jaroslaw Watróbski:
Towards robust results in Multi-Criteria Decision Analysis: ranking reversal free methods case study. KES 2022: 4584-4592 - 2021
- [c17]Bartlomiej Kizielewicz, Jakub Wieckowski, Andrii Shekhovtsov, Ewa Ziemba, Jaroslaw Watróbski, Wojciech Salabun:
Input data preprocessing for the MCDM model: COPRAS method case study. AMCIS 2021 - [c16]Andrii Shekhovtsov, Jakub Wieckowski, Bartlomiej Kizielewicz, Wojciech Salabun:
Effect of Criteria Range on the Similarity of Results in the COMET Method. FedCSIS 2021: 453-457 - [c15]Jaroslaw Watróbski, Jakub Wieckowski, Andrii Shekhovtsov, Ewa Ziemba, Bartlomiej Kizielewicz, Wojciech Salabun:
An Attempt to Sustainable Cities and Society Evaluation - MCDA Based Approach. ISD 2021 - [c14]Jakub Wieckowski, Jaroslaw Watróbski:
How to determine complex MCDM model in the COMET method? Automotive sport measurement case study. KES 2021: 376-386 - [c13]Jakub Wieckowski, Andrii Shekhovtsov:
Algorithms Effectiveness comparison in solving Nonogram boards. KES 2021: 1885-1893 - [c12]Jakub Wieckowski, Larisa A. Dobryakova:
A fuzzy assessment model for freestyle swimmers - a comparative analysis of the MCDA methods. KES 2021: 4148-4157 - [c11]Jakub Wieckowski, Patrycja Zwiech:
Can weighting methods provide similar results in MCDA problems? Selection of energetic materials study case. KES 2021: 4592-4601 - [c10]Jakub Wieckowski, Andrii Shekhovtsov, Jaroslaw Watróbski:
A New Approach to Identifying of the Optimal Preference Values in the MCDA Model: Cat Swarm Optimization Study Case. KES-IDT 2021: 265-274 - [c9]Bartlomiej Kizielewicz, Jakub Wieckowski, Jaroslaw Watróbski:
A Study of Different Distance Metrics in the TOPSIS Method. KES-IDT 2021: 275-284 - [c8]Andrii Shekhovtsov, Jakub Wieckowski, Jaroslaw Watróbski:
Toward Reliability in the MCDA Rankings: Comparison of Distance-Based Methods. KES-IDT 2021: 321-329 - 2020
- [j2]Shahzad Faizi, Wojciech Salabun, Samee Ullah, Tabasam Rashid, Jakub Wieckowski:
A New Method to Support Decision-Making in an Uncertain Environment Based on Normalized Interval-Valued Triangular Fuzzy Numbers and COMET Technique. Symmetry 12(4): 516 (2020) - [j1]Wojciech Salabun, Andrii Shekhovtsov, Dragan Pamucar, Jaroslaw Watróbski, Bartlomiej Kizielewicz, Jakub Wieckowski, Darko Bozanic, Karol Urbaniak, Bartosz Nyczaj:
A Fuzzy Inference System for Players Evaluation in Multi-Player Sports: The Football Study Case. Symmetry 12(12): 2029 (2020) - [c7]Jakub Wieckowski, Wojciech Salabun:
How the normalization of the decision matrix influences the results in the VIKOR method? KES 2020: 2222-2231 - [c6]Jakub Wieckowski, Wojciech Salabun:
How to handling with uncertain data in the TOPSIS technique? KES 2020: 2232-2242 - [c5]Jakub Wieckowski, Joanna Kolodziejczyk:
Swimming progression evaluation by assessment model based on the COMET method. KES 2020: 3514-3523 - [c4]Bartosz Paradowski, Jakub Wieckowski, Larisa A. Dobryakova:
Why TOPSIS does not always give correct results? KES 2020: 3591-3600 - [c3]Jakub Wieckowski, Bartlomiej Kizielewicz, Joanna Kolodziejczyk:
Application of Hill Climbing Algorithm in Determining the Characteristic Objects Preferences Based on the Reference Set of Alternatives. KES-IDT 2020: 341-351 - [c2]Jakub Wieckowski, Bartlomiej Kizielewicz, Joanna Kolodziejczyk:
The Search of the Optimal Preference Values of the Characteristic Objects by Using Particle Swarm Optimization in the Uncertain Environment. KES-IDT 2020: 353-363 - [c1]Jakub Wieckowski, Bartlomiej Kizielewicz, Joanna Kolodziejczyk:
Finding an Approximate Global Optimum of Characteristic Objects Preferences by Using Simulated Annealing. KES-IDT 2020: 365-375
Coauthor Index
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last updated on 2024-04-21 17:48 CEST by the dblp team
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