[2] Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: A Guide for Practitioners. Springer-Verlag, Berlin 2007.
[4] Campos, L. M. De, Heute, J. F., Moral, S.:
Probability intervals: a tool for uncertain reasoning. Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems 2 (1994), 167-196.
DOI 10.1142/s0218488594000146 |
MR 1282406
[9] Ghazinoory, S., Zadeh, A. E., Kheirkhah, A. S.:
Application of fuzzy calculations for improving portfolio matrices. Inform. Sci. 180 (2010), 9, 1582-1590.
DOI 10.1016/j.ins.2010.01.012
[11] Guh, Y.-Y., Hong, C. C., Wang, K. M., Lee, E. S.:
Fuzzy weighted average: A max-min paired elimination method. Comp. Math. Appl. 32 (1996), 115-123.
DOI 10.1016/0898-1221(96)00171-x
[12] Guh, Y. Y., Hon, C. C., Lee, E. S.:
Fuzzy weighted average: The linear programming approach via Charness and Coopers rule. Fuzzy Sets and Systems 117 (2001), 1, 157-160.
DOI 10.1016/s0165-0114(98)00333-9 |
MR 1891319
[13] Hung, K. C., Julian, P., Chien, T., Jin, W. T. H.:
A decision support system for engineering design based on an enhanced fuzzy MCDM approach. Expert Systems Appl. 37 (1) (2010), 202-213.
DOI 10.1016/j.eswa.2009.04.069
[16] Kaufmann, A., Gupta, M. M.:
Introduction to Fuzzy Arithmetic: Theory and Applications. (Second edition). Van Nostrand Reinhold, New York 1991.
MR 1132439
[17] Klir, G. J., Pan, Y.:
Constrained fuzzy arithmetic: Basic questions and some answers. Soft Computing 2 (1998), 100-108.
DOI 10.1007/s005000050038
[18] Klir, G. J., Yuan, B.:
Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, New Jersey, 1996.
MR 1443433 |
Zbl 0915.03001
[19] Lin, C. H., Tan, B., Hsieh, P. J.:
Application of the fuzzy weighted average in strategic portfolio management. Decision Sciences 36 (2005), 3, 489-511.
DOI 10.1111/j.1540-5414.2005.00081.x
[20] Liu, F., Mendel, J. M.:
Aggregation using the fuzzy weighted average as computed by the Karnik-Mendel algorithms. IEEE Trans. Fuzzy Systems 16 (2008), 1, 1-12.
DOI 10.1109/tfuzz.2007.896229
[22] Pavlačka, O., Talašová, J.: Application of the Fuzzy Weighted Average of Fuzzy Numbers in Decision Making Models. In: New Dimensions in Fuzzy Logic and Related Technologies. Vol II. (M. Štěpnička,, V. Novák, and U. Bodenhofer, eds.) Proc. 5th EUSFLAT Conference, Ostravská univerzita, Ostrava 2007, pp. 455-462.
[27] Sachs, T., Tiong, R. L. K.:
Quantifying qualitative information on risks: development of the QQIR method. J. Construction Engrg. Management-Asce 135 (2009), 1, 56-71.
DOI 10.1061/(asce)0733-9364(2009)135:1(56)
[28] Talašová, J.:
NEFRIT - Multicriteria Decision Making Based on Fuzzy Approach. Central Europ. J. Oper. Res. 8 (2000), 4, 297-319.
MR 1832867 |
Zbl 0981.90035
[29] Wang, Y. M., Elhag, T. M. S.:
Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems Appl. 31 (2006), 2, 309-319.
DOI 10.1016/j.eswa.2005.09.040
[31] Wei, C. C., Chang, H. W.:
A new approach for selecting portfolio of new product development projects. Expert Systems Appl. 38 (2011), 1, 429-434.
DOI 10.1016/j.eswa.2010.06.081
[32] Wu, W. Y., Lin, C. H., Kung, J. Y., Lin, C. T.:
A new fuzzy TOPSIS for fuzzy MADM problems under group decisions. J. Intelligent and Fuzzy Systems 18 (2007), 2, 109-115.
MR 2327710 |
Zbl 1119.68193
[33] Xu, Q., Ma, L., Nie, W. F., Li, P., Zhang, J. W., Sun, J. Z.:
Adaptive fuzzy weighted average filter for synthesized image. In: Computational Science and Its Applications - ICCSA 2005, Part 3, Lecture Notes in Computer Science, vol. 3482, Springer-Verlag, Berlin 2005, pp. 292-298.
DOI 10.1007/11424857_32