[1]
Startsev, S.A. Analiz prichin neblagopoluchnogo sostoyaniya podvalov v Sankt-Peterburge / Inzhenerno-stroitelniy zhurnal. 2009. No 2 (4). Pp. 31-42. (rus).
Google Scholar
[2]
Soldatenko, T.N. Model identifikatsii I prognoza dektov stroitelnoy konstruktsii na osnove rezultatov eye obsledovaniya / Inzhenerno-stroitelniy zhurnal. 2011. No 7 (25). Pp. 52-61. (rus).
Google Scholar
[3]
Soldatenko, T.N. Model upravleniya rabotami ekspluatiruyushchey organizatsii po soderzhaniyu inzhenernykh system kompleksa nedvizhimosti / Inzhenerno-stroitelniy zhurnal. 2013. No 2 (37). Pp. 89-103. (rus).
Google Scholar
[4]
Soldatenko, T.N. Programma obsluzhivaniya kompleksa zhizneobtspecheniya zdaniya po neskolkim kriteriyam. / Nauchno-tekhicheskiye vedomosti SPbGPU. – 2011. - № 2 (120). – S. 81-86.
Google Scholar
[5]
Ulybin, A.V., Fedotov, S.D. Primeneniye ultrazvukovogo metoda dlya otsenki zony povrezhdeniia zhelezobetona posle pozhara / Inzhenerno-stroitelniy zhurnal. 2009. No 7 (9). Pp. 55-64. (rus).
Google Scholar
[6]
Velichkin, V.Z., Soldatenko, T.N. Model intellektualnoy podderzhki prinyatiya resheniy po upravleniyu sostoyaniyem stroitelnykh konstruktsiy zdaniy / Inzhenerno-stroitelniy zhurnal. 2011. No 3 (21). Pp. 74-82. (rus).
Google Scholar
[7]
Soldatenko, T.N. Ekspertno-statisticheskiy metod otsenivaniya parametrov upravlyayushchikh vozdeystviy na inzhenernye seti zdaniy v usloviyakh neopredelennosti. / Inzhenerno-stroitelniy zhurnal. 2011. No 5 (23). Pp. 60-66. (rus).
Google Scholar
[8]
Utkin, V.S., Utkin, L.V. Ekspertyy metod opredeleniya fizicheskogo iznosa zdaniy. / Promyshlennoe i grazhdanskoye stroitelstvo. – 2000. No 1. P. 48.
Google Scholar
[9]
Kaklauskas, A, Tupenaite, A., Kanapeckiene, L., Naimaviciene, J. Knowledge-Based Model for Standard Housing Renovation / Procedia Engineering, Volume 57, 2013, P. 497-503.
DOI: 10.1016/j.proeng.2013.04.064
Google Scholar
[10]
Shtovba, S., Rotshtein, A., Pankevich, O. Fuzzy Rule Based System for Diagnosis of Stone Construction Cracks of Buildings. In Advances in Computational Intelligence and Learning, Methods and Applications, (Eds.: H. Zimmermann H-J, Tslentis G., van Someren M., Dounias G. ) / Kluwer Academic Publishers: Dordrecht, 2002, P. 401-412.
DOI: 10.1007/978-94-010-0324-7_28
Google Scholar
[11]
Kaklauskas, A., Zavadskas, E. K, Naimavicienė, J., Krutinis, M., Plakys, V., Venskus, D. Model for a Complex Analysis of Intelligent Built Environment, / Automation in Construction, Volume 19, Issue 3, May 2010, P. 326-340.
DOI: 10.1016/j.autcon.2009.12.006
Google Scholar
[12]
Rotshteyn A.P., Katelnikov D.I. Identifikatsiya nelineynykh obyektov nechetkimi bazami znaniy / Kibernetika i sistemniy analiz. – 1998. - № 5. – S. 53-61.
Google Scholar
[13]
Liu K.F.R. A Possibilistic Petri Net Model for Diagnosing Cracks in RC Structures / Computer-Aided Civil and infrastructure Engineering. – vol. 18. – 2003. – P. 426-439.
DOI: 10.1111/1467-8667.00328
Google Scholar
[14]
Sokolov V.A. Postroenie resheniya dlya otsenki tekhicheskogo sostoyaniya constructivnih system zdaniy i sooruzheniy s ispolzovaniem veroyatnostnyh metodov rasposnovaniya / Nauchno-tekhicheskiye vedomosti SPbGPU. – 2010. - № 6 (120). – S. 81-86.
Google Scholar
[15]
Kaklauskas, A., Rute, J., Zavadskas, E.K., Daniunas, A., Pruskus, V., Bivainis, J., Gudauskas, R., Plakys, V. Passive House model for quantitative and qualitative analyses and its intelligent system / Energy and Buildings, Volume 50, July 2012, P. 7-18.
DOI: 10.1016/j.enbuild.2012.03.008
Google Scholar
[16]
Soldatenko, T.N., Velichkin, V.Z., Abdullayev, G.I. Povysheniye organizatsionno-tekhnologicheskoy nadezhnosti stroitelstva lineyno-protyazhennykh sooruzheniy metodom prognozirovaniya otkazov / Inzhenerno-stroitelniy zhurnal. 2013. No 3 (38). Pp. 43-50. (rus).
Google Scholar
[17]
Soldatenko, T.N. Model ostatochnogo resursa inzhenernikh system s vysokim urovnem iznosa / Inzhenerno-stroitelniy zhurnal. 2012. No 6 (32). Pp. 64-72. (rus).
Google Scholar