PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
  • Sesja wygasła!
Tytuł artykułu

New transitivity of Atanassov’s intuitionistic fuzzy sets in a decision making model

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Atanassov’s intuitionistic fuzzy sets and especially his intuitionistic fuzzy relations are tools that make it possible to model effectively imperfect information that we meet in many real-life situations. In this paper, we discuss the new concepts of the transitivity problem of Atanassov’s intuitionistic fuzzy relations in an epistemic aspect. The transitivity property reflects the consistency of a preference relation. Therefore, transitivity is important from the point of view of real problems appearing, e.g., in group decision making in preference procedures. We propose a new type of optimistic and pessimistic transitivity among the alternatives (options) considered and their use in the procedure of ranking the alternatives in a group decision-making problem.
Rocznik
Strony
563--576
Opis fizyczny
Bibliogr. 37 poz., tab.
Twórcy
  • College of Natural Sciences, University of Rzeszów, Rejtana 16c, 35-959 Rzeszów, Poland; College of Applied Computer Science, University of Information Technology and Management, Sucharskiego 2, 35-225 Rzeszów, Poland
  • College of Natural Sciences, University of Rzeszów, Rejtana 16c, 35-959 Rzeszów, Poland
  • Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447 Warsaw, Poland; Department of Informatics, Warsaw School of Information Technology, Newelska 6, 01-447 Warsaw, Poland
Bibliografia
  • [1] Asiain,M.J., Bustince, H., Mesiar, R., Kolesarova, A. and Takac, Z. (2018). Negations with respect to admissible orders in the interval-valued fuzzy set theory, IEEE Transactions on Fuzzy Systems 26(2): 556–568.
  • [2] Atanassov, K.T. (1999). Intuitionistic Fuzzy Sets: Theory and Applications, Springer, Heidelberg.
  • [3] Atanassov, K.T. (2008). On the intuitionistic fuzzy implications and negations, in P. Chountas et al. (Eds), Intelligent Techniques and Tools for Novel System Architectures, Springer, Berlin, pp. 381–394.
  • [4] Atanassov, K.T. (2012). On Intuitionistic Fuzzy Sets Theory, Springer, Heidelberg.
  • [5] Atanassov, K.T. (2016). Mathematics of intuitionistic fuzzy sets, in C. Kahraman et al. (Eds), Fuzzy Logic in Its 50th Year: New Developments, Directions and Challenges, Springer, Berlin, pp. 61–86.
  • [6] Beliakov, G., Bustince Sola, H., James, S., Calvo, T. and Fernandez, J. (2012). Aggregation for Atanassov’s intuitionistic and interval valued fuzzy sets: The median operator, IEEE Transactions on Fuzzy Systems 20(3): 487–498.
  • [7] Bentkowska, U. (2018). New types of aggregation functions for interval-valued fuzzy setting and preservation of pos-B and nec-B-transitivity in decision making problems, Information Sciences 424: 385–399.
  • [8] Bentkowska, U., Bustince, H., Jurio, A., Pagola, M. and Pekala, B. (2015). Decision making with an interval-valued fuzzy preference relation and admissible orders, Applied Soft Computing 35: 792–801.
  • [9] Burillo, P. and Bustince, H. (1995). Intuitionistic fuzzy relations: Effect of Atanassov’s operators on the properties of the intuitionistic fuzzy relation, Mathware and Soft Computing 2(2): 117–148.
  • [10] Burillo, P. and Bustince, H. (1996). Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets, Fuzzy Sets Systems 78(3): 305–316.
  • [11] Deschrijiver, G., Cornelis, C. and Kerre, E.E. (2004). On the representation of intuitionistic fuzzy t-norms and t-conorms, IEEE Transactions on Fuzzy Systems 12(1): 45–61.
  • [12] Deschrijver, G. and Kerre, E. (2003). On the relationship between some extensions of fuzzy set theory, Fuzzy Sets and Systems 133(2): 227–235.
  • [13] Drygaś, P. (2011). Preservation of intuitionistic fuzzy preference relations, Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11), Aix-les-Bains, France, pp. 554–558.
  • [14] Dubois, D., Godo, L. and Prade, H. (2014). Weighted logics for artificial intelligence an introductory discussion, International Journal of Approximate Reasoning 55(9): 1819–1829.
  • [15] Dubois, D. and Prade, H. (1988). Possibility Theory, Plenum Press, New York.
  • [16] Dubois, D. and Prade, H. (2012). Gradualness, uncertainty and bipolarity: making sense of fuzzy sets, Fuzzy Sets and Systems 192: 3–24.
  • [17] Dudziak, U. and Pękala, B. (2011). Intuitionistic fuzzy preference relations, Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11), Aix-les-Bains, France, pp. 529–536.
  • [18] Grzegorzewski, P., Hryniewicz, O. and Romaniuk, M. (2020). Flexible resampling for fuzzy data, International Journal of Applied Mathematics and Computer Science 30(2): 281–297, DOI: 10.34768/amcs-2020-0022.
  • [19] Pękala, B. (2009). Preservation of properties of interval-valued fuzzy relations, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and the 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, pp. 1206–1210.
  • [20] Pękala, B. (2019). Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications, Springer, Cham.
  • [21] Pękala, B., Bentkowska, U., Bustince, H., Fernandez, J. and Galar, M. (2015). Operators on intuitionistic fuzzy relations, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Istanbul, Turkey, pp. 1–8.
  • [22] Pękala, B., Bentkowska, U. and De Baets, B. (2016). On comparability relations in the class of interval-valued fuzzy relations, Tatra Mountains Mathematical Publications 66(1): 91–101.
  • [23] Pękala, B., Szmidt, E. and Kacprzyk, J. (2018). Group decision support under intuitionistic fuzzy relations: The role of weak transitivity and consistency, International Journal of Intelligent Systems 33(10): 2078–2095.
  • [24] Pradhan, R. and Pal, M. (2017). Transitive and strongly transitive intuitionistic fuzzy matrices, Annals of Fuzzy Mathematics and Informatics 13(4): 485–498.
  • [25] Rutkowski, T., Łapa, K. and Nielek, R. (2019). On explainable fuzzy recommenders and their performance evaluation, International Journal of Applied Mathematics and Computer Science 29(3): 595–610, DOI: 10.2478/amcs-2019-0044.
  • [26] Saminger, S., Mesiar, R. and Bodenhoffer, U. (2002). Domination of aggregation operators and preservation of transitivity, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(1): 11–35.
  • [27] Szmidt, E. (2014). Distances and Similarities in Intuitionistic Fuzzy Sets, Springer, Cham.
  • [28] Szmidt, E. and Kacprzyk, J. (2000). Distances between intuitionistic fuzzy sets, Fuzzy Sets and Systems 114(3): 505–518.
  • [29] Szmidt, E. and Kacprzyk, J. (2006). Distances between intuitionistic fuzzy sets: Straightforward approaches may not work, 3rd International IEEE Conference on Intelligent Systems, IS06, London, UK, pp. 716–721.
  • [30] Szmidt, E. and Kacprzyk, J. (2009). Amount of information and its reliability in the ranking of Atanassov’s intuitionistic fuzzy alternatives, in E. Rakus-Andersson et al. (Eds), Recent Advances in Decision Making, Springer, Berlin, pp. 7–19.
  • [31] Szmidt, E. and Kacprzyk, J. (2017). A perspective on differences between Atanassov’s intuitionistic fuzzy sets and interval-valued fuzzy sets, Studies in Computational Intelligence 671: 221–237, DOI: 10.1007/978-3-319-47557-8_13.
  • [32] Taylor, A.D. (2005). Social Choice and the Mathematics of Manipulation, Cambridge University Press, New York.
  • [33] Xu, Y., Wanga, H. and Yu, D. (2014). Cover image weak transitivity of interval-valued fuzzy relations, Knowledge-Based Systems 63: 24–32.
  • [34] Xu, Z. (2007). Approaches to multiple attribute decision making with intuitionistic fuzzy preference information, Systems Engineering-Theory and Practice 27(11): 62–71.
  • [35] Xu, Z. and Yager, R.R. (2009). Intuitionistic and interval-valued intuitionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group, Fuzzy Optimization and Decision Making 8(2): 123–139, DOI: 10.1007/s10700-009-9056-3.
  • [36] Zadeh, L.A. (1965). Fuzzy sets, Information and Control 8: 338–353.
  • [37] Zapata, H., Bustince, H., Montes, S., Bedregal, B., Dimuro, G., Takac, Z. and Baczyński, M. (2017). Interval-valued implications and interval-valued strong equality index with admissible orders, International Journal of Approximate Reasoning 88: 91–109.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-03e2fc6b-f4b9-4e66-a7e0-3813c958ba90
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.