Osnovy teorii optimizatsii : [ucheb. pos.] / V. D. Nogin, I. O. Protodyakonov, I. I. Evlampiev ; pod red. I. O. Protodyakonova. - Moskva : Vyssh. shk., 1986. - 383,[1] s.
Prinyatie reshenii v mnogokriterialnoi srede. Kolichestvennyi podkhod / V. D. Nogin. - Izd. 2-e, ispr. i dop. - Moskva : FIZMATLIT, 2005 (PPP Tip. Nauka). - 176 s. : il.; 22 sm.; ISBN 5-9221-0517-5
Lektsii po teorii ustoichivosti dvizhenii : ucheb. pos. / V. D. Nogin. - Sankt-Peterburg : Izd.-poligraf. assots. vyssh. ucheb. zavedenii,, 2020. - 152, [1] s. : il.; 21 sm.; ISBN 978-5-91155-093-6 : 100 ekz.
Mnozhestvo i printsip Pareto : ucheb. pos. / V. D. Nogin. - Sankt-Peterburg : Izd.-poligraf. assots. vyssh. ucheb. zavedenii, 2022. - 110 s. : il.; 20 sm.; ISBN 978-5-91155-146-9 : 100 ekz.
V. D. Nogin, “Multicriteria choice based on interval fuzzy information”, Artificial Intelligence and Decision Making, 2023, no. 4, 82–93
2022
2.
V. D. Nogin, “Algorithm for reduction of the Pareto set using a collection of fuzzy information quanta”, Artificial Intelligence and Decision Making, 2022, no. 4, 3–12; Scientific and Technical Information Processing, 50:6 (2023), 610–617
2021
3.
O. V. Baskov, V. D. Nogin, “Type-2 fuzzy sets and their application in decision-making. Implementation”, Artificial Intelligence and Decision Making, 2021, no. 2, 21–34; 49, no. 5, 2022, 292–300
4.
O. V. Baskov, V. D. Nogin, “Type-2 fuzzy sets and their application in decision-making summary. General concepts”, Artificial Intelligence and Decision Making, 2021, no. 1, 3–14; Scientific and Technical Information Processing, 49:5 (2022), 283–291
O. V. Baskov, V. D. Nogin, “The Edgeworth–Pareto principle in the case of a 2-type fuzzy preference relation summary”, Artificial Intelligence and Decision Making, 2020, no. 2, 51–62; Scientific and Technical Information Processing, 48:5 (2021), 299–307
V. D. Nogin, “Ultimate possibilities of the Рareto set reduction based on quanta of fuzzy information”, Artificial Intelligence and Decision Making, 2017, no. 4, 69–77; Scientific and Technical Information Processing, 45:6 (2018), 452–457
V. D. Nogin, “Pareto set reduction based on an axiomatic approach with application of some metrics”, Zh. Vychisl. Mat. Mat. Fiz., 57:4 (2017), 645–653; Comput. Math. Math. Phys., 57:4 (2017), 645–652
V. D. Nogin, “Composed approach to reduce the Pareto set using linear or multiplicative scalarization”, Artificial Intelligence and Decision Making, 2016, no. 2, 70–77; Scientific and Technical Information Processing, 44:2 (2016), 373–378
V. D. Nogin, “Weighted sum scalarization in multicriteria optimization”, Artificial Intelligence and Decision Making, 2014, no. 4, 73–82; Scientific and Technical Information Processing, 42:6 (2015), 463–469
V. D. Nogin, “An algorithm of Pareto set reducing based on arbitrary finite collection of “quanta” of information”, Artificial Intelligence and Decision Making, 2013, no. 1, 63–69; Scientific and Technical Information Processing, 41:5 (2014), 309–313
V. D. Nogin, “Reducing the Pareto set based on information about the DM’s set-point type preference relation”, Artificial Intelligence and Decision Making, 2010, no. 2, 54–63; Scientific and Technical Information Processing, 38:6 (2011), 435–439
V. D. Nogin, “Pareto set reducing based on information about the DM’ preference relation of point-set type”, Artificial Intelligence and Decision Making, 2009, no. 1, 5–16; Scientific and Technical Information Processing, 37:5 (2011), 292–300
V. D. Nogin, “Pareto set reducing problem: approaches to solution”, Artificial Intelligence and Decision Making, 2008, no. 1, 98–112
2006
16.
O. N. Klimova, V. D. Nogin, “Using interdependent information on the relative importance of criteria in decision making”, Zh. Vychisl. Mat. Mat. Fiz., 46:12 (2006), 2178–2190; Comput. Math. Math. Phys., 46:12 (2006), 2080–2091
V. D. Nogin, “The Edgeworth–Pareto principle in terms of a fuzzy choice function”, Zh. Vychisl. Mat. Mat. Fiz., 46:4 (2006), 583–592; Comput. Math. Math. Phys., 46:4 (2006), 554–562
V. D. Nogin, “A simplified variant of the hierarchy analysis on the ground of nonlinear convolution of criteria”, Zh. Vychisl. Mat. Mat. Fiz., 44:7 (2004), 1261–1270; Comput. Math. Math. Phys., 44:7 (2004), 1194–1202
V. D. Nogin, “The Edgeworth-Pareto principle and relative importance of criteria in the case of a fuzzy preference relation”, Zh. Vychisl. Mat. Mat. Fiz., 43:11 (2003), 1666–1676; Comput. Math. Math. Phys., 43:11 (2003), 1604–1612
V. D. Nogin, I. V. Tolstykh, “Using quantiative information on the relative importance of criteria for decision making”, Zh. Vychisl. Mat. Mat. Fiz., 40:11 (2000), 1593–1601; Comput. Math. Math. Phys., 40:11 (2000), 1529–1536
V. D. Nogin, “Я. Крейчи. Матрицы парных сравнений и их нечеткое расширение. Новый нечеткий подход к принятию решений при многих критериях”, Artificial Intelligence and Decision Making, 2021, no. 1, 98–99
2018
24.
V. D. Nogin, “Multicriteria choice over the fuzzy set as a problem of compromise search”, Artificial Intelligence and Decision Making, 2018, no. 3, 91–99
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