References
- A
ikhuele , D. O. (2017) Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection. Management Science Letters, 7, 457–466. - A
lkhazaleh , S. (2015) The Multi-Interval-Valued Fuzzy Soft Set with Application in Decision Making. Applied Mathematics, 6, 8, 1250-1262. - A
tanassov , K.and Gargov , G. (1989) Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31, 343-349. - B
ai , Z. (2013) An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function. The Scientific World Journal, 2013, 1, 1-6. - B
ehzadian , M., Otaghsara , S. K., Yazdani , M.and Ignatius , J. (2012) A state-of the-art survey of TOPSIS applications. Exp. Syst. Appl., 39 (17), 13051–13069. - G
orzałczany , M. B. (1987) A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets and Systems, 21, 1, 1-17. - H
ellwig , Z. (1968) Zastosowanie Metody Taksonomicznej Do Typologicznego Podzia lu Krajów Ze Względu Na Poziom Ich Rozwoju Oraz Zasoby I Strukturę Wykwalifikowanych Kadr [Applying the taxonomic method to typological classification of countries regarding their development level and the resources as well as structure of skilled personel; in Polish]. Przegląd Statystyczny, 15, 4, 307-327. - H
wang , C.L.and Yoon , K. (1981) Methods for Multiple Attribute Decision Making. In: Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, 186. Springer, Berlin, 58-191. - H
wang , C.L., Lai , Y.J.and Liu , T. Y. (1993) A new approach for multiple objective decision making. Computers and Operational Research, 20 (8), 889–899. - K
acprzyk , J., Krawczak , M.and Szkatuła , G. (2017) On bilateral matching between fuzzy sets. Information Sciences, 402, 244-266. - K
okoc , M.and Ersöz , S. (2021) A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies, Operations Research and Decisions, 31, 4, 89-116. - K
rohling , R. A.and Pacheco , A. G. C. (2014) Interval-Valued Intuitionistic Fuzzy TODIM. Procedia Computer Science, 31, 236-244. - N
ayagam , V. L. G., Muralikrishnan , S.and Sivaraman , G. (2011) Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets. Expert Systems with Applications, 38, 1464–1467. - R
en , L., Zhang , Y., Wang , Y.and Sun , Z. (2007) Comparative analysis of a novel M-TOPSIS method and TOPSIS. Applied Mathematics Research eXpress, 2007, DOI/10.1093/amrx/abm005. - S
elvaraj , J.and Majumdar , A. (2021) A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making. Mathematics, 9, 2647, doi.org/10.3390/math9212647 - S
zkatuła , G.and Krawczak , M. (2024) Bidirectional Comparison of Nominal Sets: Asymmetry of Proximity. Studies in Computational Intelligence 1140. Springer, - S
zkatuła , G.and Krawczak , M. (in preparation) On directional quantitative assessment of information uncertainty conveyed by interval-valued intuitionistic fuzzy sets. - W
ierzbicki , A. P. (1997) On the Role of Intuition in Decision Making and Some Ways of Multicriteria Aid of Intuition. Journal of Multi-Criteria Decision Analysis, 6, 65–78. - Y
e , J. (2009) Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Systems with Applications, 36, 3, 6899–6902. - Y
oon , K. (1987) A reconciliation among discrete compromise situations. Journal of the Operational Research Society, 38 (3), 277–286. - X
u , Z. S. (2007) Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control and Decision, 22(2), 215–219. - Z
ionts , S. (1979) MCDM: If Not a Roman Numeral, then What? Interfaces, 9, 4, 94-101.