Model of the level estimation of danger situations in the problems of complex objects operation
DOI:
https://doi.org/10.20535/SRIT.2308-8893.2017.1.01Keywords:
information analysis, qualitative characteristics of informedness, classification, recognition, danger level, integrated indicator of informednessAbstract
The model of information support estimation of the decision maker (DM) based on a study of qualitative indicators of informedness, which characterizes the completeness, accuracy and timeliness of DM informedness , is presented. On the basis of these characteristics the level of danger situations in the operation of complex objects is formed. In implementing the model are used the methods of one-parameter classification with operations of fuzzy sets and strong intersections, as well as methods of interval classification with the operations of union and intersection of fuzzy sets, and also with operations of strong union and intersection of fuzzy sets. The proposed methods allow classifying the situation to inform DM about the validity and security of the decision with the available information support. The proposed model is based on a study of qualitative characteristics of informedness of DM and can be used to estimate the level of danger situations in the problems of the complex objects operation.References
Hoskins M. Participatory Action Research Information Gathering Methods Hoskins / The East-West Centre, Hawaii, USA – 1986. – 378 p.
Ionova A.F. Finansovyj analiz: ucheb. / A.F. Ionova, N.I. Selezneva. — M.: TK Velbi, Izd-vo "Prospekt", 2006. — 624 s.
Zhora D.V. Informatsionnyj analiz rezul'tatov finansovogo prognozirovanija s ispol'zovaniem klassifikatora so sluchajnymi podprostranstvami / D.V. Zhora, A.M. Reznik, A.E. Doroshenko // Matematychni mashyny i systemy. — 2005. — No. 1. — S. 39–59.
Information Analysis and portfolio management [digital resource]. — Access mode: https://www.msci.com/resources/research/articles/barra/info-anl.pdf
Rumelhart D.E. Learning internal representations by error propagation. In Parallel distributed processing / D.E. Rumelhart, G.E. Hinton, R. Williams // Data Science Guide. — 1986. — Vol. 1 –– P. 310–328.
Sistemno-informatsionnyj analiz protsessov upravlenija / Ju.M. Gorskij. —Novosibirsk: Nauka 1988. 327 s.
Mazur M. Kachestvennaja teorija informatsii / M. Mazur. — M.: Mir. 1974. 239 s.
Pankratova N.D. Matematicheskie osnovy informatsionnogo analiza sistemnyh zadach / N.D. Pankratova, B.I. Kurilin // Intellektual'nyj analiz informatsii: Pjataja mezhdunar. konf., Kiev, 17–20 maja 2005 g.: sb. tr. — 2005. — S. 224–233. — ISBN 966-71-1562-3.
Zhurovs'kyj M.Z. Osnovy systemnoho analizu / M.Z. Zhurovs'kyj, N.D. Pankratova. — K.: Vydavnycha hrupa BHV, 2007. — 544 s.
Zgurovsky M.Z. System analysis: Theory and Applications / M.Z. Zgurovsky, N.D. Pankratova // Springer, 2007. — 475 p.
Zajchenko Ju.P. Nechetkie modeli i metody v intelektual'nyh sistemah / Ju.P. Zajchenko, A.F. Voloshin, A.K. Lopatin, N.K. Pechurin — K.: Izdat. dom "Slovo", 2008. — 344 s.