1. B.Yatsalo, A.Korobov, L.Martínez. Fuzzy MCDA: Evident Advantages and Nontrivial Drawbacks. IX Moscow International Conference on Operations Research (ORM2018). Moscow, October 22–27, 2018. Proceedings. / Ed. F. Ereshko. Vol.II. p.147-152. Мoscow, MAKS Press, 2018. DOI:10.29003/m212.ORM2018_v2
  2. A.Radaev, A.Korobov, B.Yatsalo. F-Ranking: a computer system for ranking fuzzy numbers. Software & Systems. v.3, 2018, p.605-613. (in Russian) DOI:10.15827/0236-235X.123.605-613
  3. B.Yatsalo, A.Korobov, L.Martínez. Fuzzy TOPSIS: Violation of basic axioms. World Scientific Proceedings Series on Computer Engineering and Information Science, Data Science, and Knowledge Engineering for Sensing Decision Support, pp.137-144. 2018. DOI:10.1142/9789813273238_0020
  4. B.Yatsalo, L.Martínez. Fuzzy Rank Acceptability Analysis: A Confidence Measure of Ranking Fuzzy Numbers. IEEE Transactions on Fuzzy Systems. Dec. 2018. Vol. 26, Issue 6, pp. 3579-3593. DOI:10.1109/TFUZZ.2018.2838063
  5. B.Yatsalo, L.Martínez. Fuzzy MCDA Without Defuzzification Based on Fuzzy Rank Acceptability Analysis. In: Kacprzyk J., Szmidt E., Zadrożny S., Atanassov K., Krawczak M. (eds), Advances in Fuzzy Logic and Technology 2018. IWIFSGN 2017, EUSFLAT 2017. Advances in Intelligent Systems and Computing, vol. 643. pp.537-550. Springer. DOI:10.1007/978-3-319-66827-7_50
  6. B.Yatsalo, A.Korobov, L.Martínez. Fuzzy multi-criteria acceptability analysis: A new approach to multi-criteria decision analysis under fuzzy environment. Expert Systems With Applications, 84 (2017) 262–271. DOI:10.1016/j.eswa.2017.05.005
  7. B.Yatsalo, L.Martínez. Fuzzy Multicriteria Acceptability Analysis Bases on Transitive and Intransitive Preference Relations. Proceedings of the 8th Moscow International Conference on Operations Research ORM2016. Moscow, Oct 17-22, 2016, vol.2, p.66-68.
  8. B.Yatsalo, L.Martínez. A Novel Approach To Ranking Fuzzy Numbers Based On Fuzzy Acceptability Analysis. Proceedings of the 12-th International FLINS2016 Confer. On Uncertainty Modelling In Knowledge Engineering And Decision Making. Eds.X.Zeng, J.Lu, E.E.Kerre, L.Martinez, L.Koehl. World Scientific, ISBN 978-981-316-96-9. 24-26.08, 2016, Roubaix, France. pp.75-80. DOI:10.1142/9789813146976_0015
  9. B.Yatsalo, S.Gritsyuk, T.Sullivan, B.Trump, I.Linkov, Multi-criteria risk management with the use of DecernsMCDA: methods and case studies. Environment Systems and Decisions. 2016, vol.36, issue 3, pp.266-276. DOI:10.1007/s10669-016-9598-1
  10. B.Yatsalo. A New Approach to Fuzzy Multi-Criteria Acceptability Analysis. Proceedings of the Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology. Eds. J.M.Alonso, H.Bustince, M.Reformat. ISBN (on-line): 978-94-62520-77-6. Series AISR, ISSN 1951-6851, 2015, vol. 89, p.947-952. DOI:10.2991/ifsa-eusflat-15.2015.133
  11. B.Yatsalo, V.Didenko, S.Gritsyuk, T.Sullivan. Decerns: a Framework for Multicriteria Decision Analysis. International Journal of Computational Intelligence Systems, Vol. 8, No. 3 (2015) 467-489. DOI:10.1080/18756891.2015.1023586
  12. B.Yatsalo, S.Gritsyuk, V.Didenko, O.Mirzeabasov. The system for multi-criteria decision analysis DecernsMCDA and its practical application. Software & Systems. №2, 2014. pp.73-84. ISNN 0236-235X, 2311-2735.
  13. V.Didenko, B.Yatsalo, S.Gritsyuk, O.Mirzeabasov, I.Pichugina. Environmental risk management with the use of multi-criteria GIS for decision-making support. Communication of Higher Schools. Nuclear Power Engineering. v.2, 2013. p.143-152.
  14. B.Yatsalo, T.Sullivan, V.Didenko, S.Gritsyuk, O.Mirzeabasov, I.Pichugina, I.Linkov. Environmental risk management with the use of multi-criteria spatial decision support system DECERNS. International Journal of Risk Assessment and Management. Vol. 16, No 4, 2012. P.175-198. DOI:10.1504/IJRAM.2012.051254
  15. B.Yatsalo, T.Sullivan, V.Didenko, I.Linkov. Environmental risk management for radiological accidents: Integrating risk assessment and decision analysis for remediation at different spatial scales. Integrated Environmental Assessment and Management. Vol 7, No 3, 2011. p.393-395. DOI:10.1002/ieam.229