The Probabilistic Approach to Preferences Measurement - Probabilistic Composition of Preferences, Theory and Applications - page 29

Table 3.2 Probabilistic scores
Capacity score Rank Additive score Rank

Car1 17.5 13

0.0029 0.0488

Car2 19 9

0.0028 0.0499

Car3 13 3

0.0034 0.0641

Car4 4 7

0.0515 0.0515

Car5 11 20

0.0316 0.0316

Car6 10 19

0.0327 0.0327

Car7 13 6

0.0034 0.0536

Car8 17.5 18

0.0029 0.0337

Car9 13 12

0.0034 0.0490

Car10 2 4

0.0582 0.0608

Car11 20 17

0.0027 0.0440

Car12 5 8

0.0499 0.0503

Car13 9 16

0.0457 0.0457

Car14 16 15

0.0033 0.0477

Car15 8 11

0.0463 0.0493

Car16 1 2

0.0620 0.0646

Car17 15 1

0.0034 0.0666

Car18 6 10

0.0495 0.0495

Car19 3 5

0.0561 0.0587

Car20 7 14

0.0478 0.0482

References

Martino, J. P. (1970). The lognormality of Delphi estimates. Technological FForecasts, 1(4),
355 358.

Mathworks. (2014). MATLAB 8.0 and statistics toolbox 8.1. Natick-MA: The MathWorks, Inc.
R

-

Core Team. (2014). R: A language and environment for statistical computing. R foundation for
statistical computing, Vienna, Austria. ISBN 3-900051-07-0. Retrieved from, http://www.R-
project.org/ .
Sant

©

Anna, A. P. (2002). Data envelopment analysis of randomized ranks. Pesquisa Operacional,
22(2), 203 - 215.
Sant ' Anna, A. P., & Sant ' Anna, L. A. F. P. (2001). Randomization as a stage in criteria
combining. In J. L. D. Ribeiro, F. S. Fogliatto, & L. B. M. Guimar ã es (Eds.), Production and
distribution challenges for the 21st century (pp. 248 - 256). Salvador: ABEPRO.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338 - 353.
Zadeh, L. A. (1978). Fuzzy sets as the basis for a theory of possibility. Fuzzy Sets and Systems, 1,
3 - 28.

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