| Aggregation in the analytic hierarchy process: Why weighted geometric mean should be used instead of weighted arithmetic mean J Krejčí, J Stoklasa Expert Systems with Applications 114, 97-106, 2018 | 154 | 2018 |
| A fuzzy extension of analytic hierarchy process based on the constrained fuzzy arithmetic J Krejčí, O Pavlačka, J Talašová Fuzzy Optimization and Decision Making 16, 89-110, 2017 | 82 | 2017 |
| On additive consistency of interval fuzzy preference relations J Krejčí Computers & Industrial Engineering 107, 128-140, 2017 | 61 | 2017 |
| Fuzzy eigenvector method for obtaining normalized fuzzy weights from fuzzy pairwise comparison matrices J Krejčí Fuzzy Sets and Systems 315, 26-43, 2017 | 47 | 2017 |
| Pairwise Comparison matrices and their Fuzzy extension J Krejčí Springer International Publishing, 2018 | 44 | 2018 |
| On multiplicative consistency of interval and fuzzy reciprocal preference relations J Krejčí Computers & Industrial Engineering 111, 67-78, 2017 | 43 | 2017 |
| A note on the paper “fuzzy analytic hierarchy process: fallacy of the popular methods” M Fedrizzi, J Krejčí International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2015 | 40 | 2015 |
| FAHPSort: A fuzzy extension of the AHPSort method J Krejčí, A Ishizaka International Journal of Information Technology & Decision Making 17 (04 …, 2018 | 35 | 2018 |
| On extension of multiplicative consistency to interval fuzzy preference relations J Krejčí Operational Research 19, 783-815, 2019 | 19 | 2019 |
| Fuzzy set theory J Krejčí, J Krejčí Pairwise Comparison Matrices and their Fuzzy Extension: Multi-criteria …, 2018 | 19 | 2018 |
| Computing interval weights for incomplete pairwise-comparison matrices of large dimension - a weak consistency based approach V Jandová, J Krejčí, J Stoklasa, M Fedrizzi IEEE Transactions on Fuzzy Systems, 2016 | 18 | 2016 |
| Fuzzified AHP in the evaluation of scientific monographs J Krejčí, J Stoklasa Central European Journal of Operations Research 24, 353-370, 2016 | 17 | 2016 |
| Defining and aligning supply chain objectives before, during, and after the COVID-19 pandemic JU Siebert, M Brandenburg, J Siebert IEEE Engineering Management Review 48 (4), 72-85, 2020 | 15 | 2020 |
| From measurement to decision with the analytic hierarchy process: Propagation of uncertainty to decision outcome J Krejčí, D Petri, M Fedrizzi IEEE Transactions on Instrumentation and Measurement 66 (12), 3228-3236, 2017 | 15 | 2017 |
| Additively reciprocal fuzzy pairwise comparison matrices and multiplicative fuzzy priorities J Krejčí Soft Computing 21 (12), 3177-3192, 2017 | 13 | 2017 |
| A proper fuzzification of Saaty’s scale and an improved method for computing fuzzy weights in fuzzy AHP J Krejčí, J Talašová Proceedings of the 31th international conference on mathematical methods in …, 2013 | 11 | 2013 |
| From Measurement to Decision: Sensitivity of Decision Outcome to Input and Model Uncertainties J Siebert, D Petri, M Fedrizzi IEEE Transactions on Instrumentation and Measurement, 2018 | 9 | 2018 |
| Effective mitigation of the belief perseverance bias after the retraction of misinformation: Awareness training and counter-speech J Siebert, JU Siebert Plos one 18 (3), e0282202, 2023 | 8 | 2023 |
| Obtaining fuzzy priorities from additive fuzzy pairwise comparison matrices J Krejčí IMA Journal of Management Mathematics 29 (3), 297-323, 2018 | 7 | 2018 |
| Fuzzy eigenvector method for deriving normalized fuzzy priorities from fuzzy multiplicative pairwise comparison matrices J Siebert Fuzzy Optimization and Decision Making 18 (2), 175-197, 2019 | 4 | 2019 |
Jan StoklasaAssociate Professor, Lappeenranta-Lahti University of TechnologyVerified email at lut.fi
