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A new approach to comparing intuitionistic fuzzy values

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Języki publikacji
EN
Abstrakty
EN
This paper presents a new approach to comparing intuitionistic fuzzy values. Score and accuracy functions are used to build the "net profit" and "risk" local criteria, which are aggregated in a generalized criterion taking into account the weights of the considered local criteria depending on the risk aversion of a decision maker. As opposed to known methods, the new approach makes it possible to estimate the strength of the relations between real valued intuitionistic fuzzy values. Using some numerical examples, it is shown that the proposed approach provides intuitively clear results.
Twórcy
autor
  • Institute of Computer and Information Sciences Czestochowa University of Technology, Poland, dymowa@icis.pcz.pl
Bibliografia
  • [1] Atanassov K.T., Intuitionistic fuzzy sets, Fuzzy Sets and Systems 1986, 20, 87-96.
  • [2] Dubois D., Gottwald S., Hajek P., Kacprzyk J., Prade H., Terminological difficulties in fuzzy set theory - The case of “Intuitionistic Fuzzy Sets”, Fuzzy Sets and Systems 2005, 156, 485-491.
  • [3] Gau W.L., Buehrer D.J., Vague sets, IEEE Trans. Systems Man Cybernet 1993, 23, 610 614.
  • [4] Bustince H., Burillo P., Vague sets are intuitionistic fuzzy sets, Fuzzy Sets and Systems 1996, 79, 403-405.
  • [5] Nikolova M., Nikolov M., Cornelis C., Deschrijver G., Survey of the research on intuitionistic fuzzy sets, Advanced Studies in Contemporary Mathematics 2002, 4, 127-157.
  • [6] Chen S.M., Tan J.M., Handling multicriteria fuzzy decision-making problems based on vague set theory, Fuzzy Sets and Systems 1994, 67, 163-172.
  • [7] Hong D.H., Choi C.-H., Multicriteria fuzzy decision-making problems based on vague set theory, Fuzzy Sets and Systems 2000, 114, 103-113.
  • [8] Li D-F., Multiattribute decision making models and methods using intuitionistic fuzzy sets, Journal of Computer and System Sciences 2005, 70, 73-85.
  • [9] Li F., Lu A., Cai L., Methods of multi-criteria fuzzy decision making based on vague sets, Journal of Huazhong University of Science and Technology 2001, 29, 1-3 (in Chinese).
  • [10] Li F., Rao Y., Weighted methods of multi-criteria fuzzy decision making based on vague sets, Computer Science 2001, 28, 60-65 (in Chinese).
  • [11] Lin L., Yuan X-H., Xia Z-Q, Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets, Journal of Computer and System Sciences 2007, 73, 84-88.
  • [12] Liu H.-W., Wang G.-J., Multi-criteria decision-making methods based on intuitionistic fuzzy sets, European Journal of Operational Research 2007, 179, 220-233.
  • [13] Atanassov K., Pasi G., Yager R., Intuitionistic fuzzy interpretations of multi-person multicriteria decision making, Proc. of 2002 First International IEEE Symposium Intelligent Systems 2002, 1, 115-119.
  • [14] Atanassov K., Pasi G., Yager R., Atanassova V., Intuitionistic fuzzy group interpretations of multi-person multi-criteria decision making, Proc. of the Third Conference of the European Society for Fuzzy Logic and Technology EUSFLAT 2003, Zittau, 10-12 September 2003, 177-182.
  • [15] Pasi G., Atanassov K., Melo Pinto P., Yager R., Atanassova V., Multi-person multi-criteria decision making: Intuitionistic fuzzy approach and generalized net model, Proc. of the 10th ISPE International Conference on Concurrent Engineering “Advanced Design, Production and Management Systems”, 26-30 July 2003, Madeira 2003, 1073-1078.
  • [16] Pasi G., Yager Y., Atanassov K., Intuitionistic fuzzy graph interpretations of multi person multi-criteria decision making: Generalized net approach, Proceedings of 2004 Second International IEEE Conference Intelligent Systems 2004, 434-439.
  • [17] Szmidt E., Kacprzyk J., Intuitionistic fuzzy sets in decision making, Notes IFS 1996, 2, (1), 15-32.
  • [18] Szmidt E., Kacprzyk J., Remarks on some applications on intuitionistic fuzzy sets in decision making, Notes IFS 1996, 2, (2), 22-31.
  • [19] Szmidt E., Kacprzyk J., Group decision making under intuitionistic fuzzy preference relations, Proceedings of Seventh International Conference (IMPU’98), Paris 1998, 172-178.
  • [20] Szmidt E., Kacprzyk J., Applications of intuitionistic fuzzy sets in decision making, Proc. Eighth Cong. EUSFLAT’98, Pampelona 1998, 150-158.
  • [21] Xu Z., Intuitionistic fuzzy aggregation operators, IEEE Transactions on Fuzzy Systems 2007, 15, 1179-1187.
  • [22] Xu Z., Yager R.R., Some geometric aggregation operators based on intuitionistic fuzzy sets, International Journal of General Systems 2006, 35, 417-433.
  • [23] Xu Z., Yager R.R., Dynamic intuitionistic fuzzy multi-attribute decision making, International Journal of Approximate Reasoning 2008, 48, 246-262.
  • [24] Xu Z., Xia M., Induced generalized intuitionistic fuzzy operations, Knowledge-Based Systems 2011, 24, 197-209.
  • [25] Bustince H., Burillo P., Structures on intuitionistic fuzzy relations, Fuzzy Sets and Systems 1996, 78, 293-303.
  • [26] Xu Z., Intuitionistic preference relations and their application in group decision making, Information Sciences 2007, 177, 2363-2379.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPC6-0016-0007
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