270
N. M. Kuzmina and A. N. Ridley
In addition to the practical result, the applied method of incomplete pairwise
comparisons with interval-specified estimates of alternative preferences deserves
special attention. Its distinctive features are:
• Ability to operate with incomplete pairwise comparisons matrices without
restoring missing estimates.
• Ability to work with both numerical and interval estimates of alternatives’
preferences.
These advantages make it possible to apply the method of pairwise comparisons
in complex cases like the following:
• When highly specialized experts cannot rate all alternatives, they rate alternatives
of their expertise and for the rest, one give an interval or nothing at all.
• When it is required to compare a large number of alternatives and get the alternatives’ weights from the resulting matrix of large dimension and incomplete
matrices.
References
1. Borzova, A.S., Zheleznaya, I.P.: The development of regional airport infrastructure. Civ. Aviat.
High Technol. 217, 23–26 (2015)
2. Borzova, A.S., Zheleznaya, I.P.: Analysis of the state of the infrastructure of the airports of the
Moscow aviation hub. Civ. Aviat. High Technol. 197, 138–146 (2013)
3. Arakelyan, K.M.: The development model of the Moscow aviation hub. Civ. Aviat. 3(7), 46–49
(2013)
4. Borodulina, S., Sokolov, V., Okuneva, A.: Passenger traffic forecasting logistics in air transport
taking into account the influence of regional factors. Logistics 4(101), 34–39 (2015)
5. Artobolevskiy, I.I., Russman, I.B., Sergeev, V.I., Statnikov, R.B.: On some methods of choosing
an integral quality criterion in problems of optimal design of machines. J. Russ. Acad. Sci. USSR
2, 3–10 (1978)
6. Saaty, T.L.: Decision Making for Leaders. The Analytic Hierarchy Process for Decisions in a
Complex world. RWS Publications, Pittsburgh, Pennsylvania (2008)
7. Bochkov, A.V., Zhigirev, N.N., Ridley, A.N.: Method of recovery of priority vector for
alternatives under uncertainty or incomplete expert assessment. Dependability 17(3), 41–48
(2017)
8. Kuzmina, N.M., Ridley, A.N.: A method for estimating the impact of the fare rules conditions.
Civ. Aviat. High Technol. 224(2), 138–146 (2016)
9. Bochkov, A.V., Zhigirev, N.N.: Development of computation algorithm and ranking methods
for decision-making under uncertainty. In: Ram, M., Davim, J. (eds.) Advanced Mathematical
Techniques in Engineering Science. Series: Science, Technology and Management, pp. 121–154.
CRC Press (2018)
N. M. Kuzmina and A. N. Ridley
In addition to the practical result, the applied method of incomplete pairwise
comparisons with interval-specified estimates of alternative preferences deserves
special attention. Its distinctive features are:
• Ability to operate with incomplete pairwise comparisons matrices without
restoring missing estimates.
• Ability to work with both numerical and interval estimates of alternatives’
preferences.
These advantages make it possible to apply the method of pairwise comparisons
in complex cases like the following:
• When highly specialized experts cannot rate all alternatives, they rate alternatives
of their expertise and for the rest, one give an interval or nothing at all.
• When it is required to compare a large number of alternatives and get the alternatives’ weights from the resulting matrix of large dimension and incomplete
matrices.
References
1. Borzova, A.S., Zheleznaya, I.P.: The development of regional airport infrastructure. Civ. Aviat.
High Technol. 217, 23–26 (2015)
2. Borzova, A.S., Zheleznaya, I.P.: Analysis of the state of the infrastructure of the airports of the
Moscow aviation hub. Civ. Aviat. High Technol. 197, 138–146 (2013)
3. Arakelyan, K.M.: The development model of the Moscow aviation hub. Civ. Aviat. 3(7), 46–49
(2013)
4. Borodulina, S., Sokolov, V., Okuneva, A.: Passenger traffic forecasting logistics in air transport
taking into account the influence of regional factors. Logistics 4(101), 34–39 (2015)
5. Artobolevskiy, I.I., Russman, I.B., Sergeev, V.I., Statnikov, R.B.: On some methods of choosing
an integral quality criterion in problems of optimal design of machines. J. Russ. Acad. Sci. USSR
2, 3–10 (1978)
6. Saaty, T.L.: Decision Making for Leaders. The Analytic Hierarchy Process for Decisions in a
Complex world. RWS Publications, Pittsburgh, Pennsylvania (2008)
7. Bochkov, A.V., Zhigirev, N.N., Ridley, A.N.: Method of recovery of priority vector for
alternatives under uncertainty or incomplete expert assessment. Dependability 17(3), 41–48
(2017)
8. Kuzmina, N.M., Ridley, A.N.: A method for estimating the impact of the fare rules conditions.
Civ. Aviat. High Technol. 224(2), 138–146 (2016)
9. Bochkov, A.V., Zhigirev, N.N.: Development of computation algorithm and ranking methods
for decision-making under uncertainty. In: Ram, M., Davim, J. (eds.) Advanced Mathematical
Techniques in Engineering Science. Series: Science, Technology and Management, pp. 121–154.
CRC Press (2018)