1. B. Yatsalo, A. Radaev, L. Martínez, From MCDA to Fuzzy MCDA: Presumption of Model Adequacy or is Every Fuzzification of an MCDA Method Justified? Information Sciences 587 (2022) 371–392. doi.org/10.1016/j.ins.2021.12.051. ISSN: 0020-0255.
  2. B. Yatsalo, A. Korobov, A. Radaev, J. Qin, L. Martinez, Ranking of Independent and Dependent Fuzzy Numbers and Intransitivity in Fuzzy MCDA. IEEE Transactions on Fuzzy Systems, PP(99):1-1, Feb. 2021. DOI: 10.1109/TFUZZ.2021.3058613, ISSN: 1063-6706.
  3. B. Yatsalo, A. Korobov, L. Martinez, From MCDA to Fuzzy MCDA: Violation of Basic Axiom and How to Fix It. Neural Computing and Applications. March 2021, 33(3). DOI: 10.1007/s00521-020-05053-9 Electronic ISSN 1433-3058, Print ISSN 0941-0643.
  4. B. Yatsalo, A. Korobov, B. Oztaysi, C. Kahraman, and L. Martinez, Fuzzy Extensions of PROMETHEE: Models of Different Complexity with Diffnt Ranking Methods and Their Comparison. Fuzzy Sets and Systems, Vol. 422, 15 Oct. 2021, P. 1-26, doi.org/10.1016/j.fss.2020.08.015. ISSN 0165-0114
  5. A. Radaev, A. Korobov, and B. Yatsalo, Fuzzy System F-CalcRank for Calculating Functions of Fuzzy Arguments and Ranking of Fuzzy Numbers. Journal of Intelligent & Fuzzy Systems, June 2021, 42 (2022) 13–28. DOI:10.3233/JIFS-219171. ISSN print 1064-1246.
  6. B. Yatsalo, A. Korobov, B. Oztaysi, C. Kahraman, and L. Martinez, A general approach to Fuzzy TOPSIS based on the concept of Fuzzy Multicriteria Acceptability Analysis. Journal of Intelligent and Fuzzy Systems, 38 (2020) 979–995. DOI:10.3233/JIFS-179463. ISSN /print 1064-1246.
  7. A. Korobov, A. Radaev, and B. Yatsalo, How Different Are Fuzzy MCDA Models, Which are Fuzzy Extensions of an MCDA Method? Lecture Notes in Networks and Systems, Vol. 307, Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. Proceedings of the INFUS 2021 Conference, August 24–26, 2021. Vol. 1. Springer Nature Switzerland, C. Kahraman et al. (Eds.): INFUS 2021, pp. 378–387, 2022. doi.org/10.1007/978-3-030-85626-7 ISSN 2367-3389 (el-c). ISBN 978-3-030-85626-7 (eBook)
  8. B. Yatsalo, A. Korobov and L. Martinez, Presumption of Model Adequacy in Fuzzy Multi-Criteria Decision Analysis. Proceedings: 14th International FLINS Conference (FLINS 2020), DOI:10.1142/9789811223334_0091. World Scientific Proceedings Series on Computer Engineering and Information Science. Developments of Artificial Intelligence Technologies in Computation and Robotics, pp. 759-766 (2020). ISBN: 978-981-122-334-1 (ebook).
  9. B. Yatsalo, A. Korobov. Different Approaches to Fuzzy Extension of an MCDA Method and Their Comparison. Advances in Intelligent Systems and Computing1197. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21–23, 2020. p.709-717. doi.org/10.1007/978-3-030-51156-2 Print ISSN 2194-5357, Online ISSN 2194-5365; Print ISBN 978-3-030-51155-5, Online ISBN 978-3-030-51156-2. (INFUS-2020 Award)
  10. B. Yatsalo, A. Korobov, and L. Martinez, Ranking of Independent and Dependent Fuzzy Numbers by Two Ranking Methods and Their Use in Fuzzy MCDA. The 11th Conference of the European Society for Fuzzy Logic and Technology organized jointly with the IQSA Workshop on Quantum Structures Prague, September 9-13, 2019. Book of Abstracts. Eds by B. De Baets, L. Godo, I. Perfilieva, and M. Reformat. Univ. of Ostrava, p.74-75. ISBN 978-80-7599-110-2.
  11. A.V. Korobov, B.I. Yatsalo, Decerns-FT: decision support system for analysis of multi-criteria problems in the fuzzy environment. Software Journal: Theory and Applications, 1, 2021. DOI: 10.15827/2311-6749.38.449. ISSN 2311-6749.
  12. 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
  13. 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
  14. 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
  15. 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.
  16. 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.
  17. 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
  18. 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