Features of the Logic-and-Probabilistic Risk Theory with Groups of Incompatible Events
Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Solozhentsev, E. D. [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2003 |
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| Schlagwörter: |
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| Anmerkung: |
© MAIK “Nauka/Interperiodica” 2003 |
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| Übergeordnetes Werk: |
Enthalten in: Automation and remote control - Kluwer Academic Publishers-Plenum Publishers, 1957, 64(2003), 7 vom: Juli, Seite 1186-1201 |
|---|---|
| Übergeordnetes Werk: |
volume:64 ; year:2003 ; number:7 ; month:07 ; pages:1186-1201 |
| Links: |
|---|
| DOI / URN: |
10.1023/A:1024750605611 |
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OLC2060885728 |
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| 520 | |a Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-probabilistic model from the statistical data was stated, and a training algorithm was set forth. Statistical, combinatorial, and logic-and-probabilistic methods of risk analysis were described. High precision and robustness of the logic-and-probabilistic models of unsuccess risk were explained, and in terms of these characteristics the models were compared with other theories of risk and classification of objects. The results obtained can be used for modeling, analysis, and management of risks in complex organizational and technical systems. | ||
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10.1023/A:1024750605611 doi (DE-627)OLC2060885728 (DE-He213)A:1024750605611-p DE-627 ger DE-627 rakwb eng 000 620 VZ Solozhentsev, E. D. verfasserin aut Features of the Logic-and-Probabilistic Risk Theory with Groups of Incompatible Events 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © MAIK “Nauka/Interperiodica” 2003 Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-probabilistic model from the statistical data was stated, and a training algorithm was set forth. Statistical, combinatorial, and logic-and-probabilistic methods of risk analysis were described. High precision and robustness of the logic-and-probabilistic models of unsuccess risk were explained, and in terms of these characteristics the models were compared with other theories of risk and classification of objects. The results obtained can be used for modeling, analysis, and management of risks in complex organizational and technical systems. Mechanical Engineer Risk Analysis Statistical Data System Theory High Precision Enthalten in Automation and remote control Kluwer Academic Publishers-Plenum Publishers, 1957 64(2003), 7 vom: Juli, Seite 1186-1201 (DE-627)129603481 (DE-600)241725-X (DE-576)015097315 0005-1179 nnns volume:64 year:2003 number:7 month:07 pages:1186-1201 https://doi.org/10.1023/A:1024750605611 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_4116 GBV_ILN_4700 AR 64 2003 7 07 1186-1201 |
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10.1023/A:1024750605611 doi (DE-627)OLC2060885728 (DE-He213)A:1024750605611-p DE-627 ger DE-627 rakwb eng 000 620 VZ Solozhentsev, E. D. verfasserin aut Features of the Logic-and-Probabilistic Risk Theory with Groups of Incompatible Events 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © MAIK “Nauka/Interperiodica” 2003 Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-probabilistic model from the statistical data was stated, and a training algorithm was set forth. Statistical, combinatorial, and logic-and-probabilistic methods of risk analysis were described. High precision and robustness of the logic-and-probabilistic models of unsuccess risk were explained, and in terms of these characteristics the models were compared with other theories of risk and classification of objects. The results obtained can be used for modeling, analysis, and management of risks in complex organizational and technical systems. Mechanical Engineer Risk Analysis Statistical Data System Theory High Precision Enthalten in Automation and remote control Kluwer Academic Publishers-Plenum Publishers, 1957 64(2003), 7 vom: Juli, Seite 1186-1201 (DE-627)129603481 (DE-600)241725-X (DE-576)015097315 0005-1179 nnns volume:64 year:2003 number:7 month:07 pages:1186-1201 https://doi.org/10.1023/A:1024750605611 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_4116 GBV_ILN_4700 AR 64 2003 7 07 1186-1201 |
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10.1023/A:1024750605611 doi (DE-627)OLC2060885728 (DE-He213)A:1024750605611-p DE-627 ger DE-627 rakwb eng 000 620 VZ Solozhentsev, E. D. verfasserin aut Features of the Logic-and-Probabilistic Risk Theory with Groups of Incompatible Events 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © MAIK “Nauka/Interperiodica” 2003 Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-probabilistic model from the statistical data was stated, and a training algorithm was set forth. Statistical, combinatorial, and logic-and-probabilistic methods of risk analysis were described. High precision and robustness of the logic-and-probabilistic models of unsuccess risk were explained, and in terms of these characteristics the models were compared with other theories of risk and classification of objects. The results obtained can be used for modeling, analysis, and management of risks in complex organizational and technical systems. Mechanical Engineer Risk Analysis Statistical Data System Theory High Precision Enthalten in Automation and remote control Kluwer Academic Publishers-Plenum Publishers, 1957 64(2003), 7 vom: Juli, Seite 1186-1201 (DE-627)129603481 (DE-600)241725-X (DE-576)015097315 0005-1179 nnns volume:64 year:2003 number:7 month:07 pages:1186-1201 https://doi.org/10.1023/A:1024750605611 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_4116 GBV_ILN_4700 AR 64 2003 7 07 1186-1201 |
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Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-probabilistic model from the statistical data was stated, and a training algorithm was set forth. Statistical, combinatorial, and logic-and-probabilistic methods of risk analysis were described. High precision and robustness of the logic-and-probabilistic models of unsuccess risk were explained, and in terms of these characteristics the models were compared with other theories of risk and classification of objects. The results obtained can be used for modeling, analysis, and management of risks in complex organizational and technical systems. © MAIK “Nauka/Interperiodica” 2003 |
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Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-probabilistic model from the statistical data was stated, and a training algorithm was set forth. Statistical, combinatorial, and logic-and-probabilistic methods of risk analysis were described. High precision and robustness of the logic-and-probabilistic models of unsuccess risk were explained, and in terms of these characteristics the models were compared with other theories of risk and classification of objects. The results obtained can be used for modeling, analysis, and management of risks in complex organizational and technical systems. © MAIK “Nauka/Interperiodica” 2003 |
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Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. The problem of identification (training) of the risk logic-and-probabilistic model from the statistical data was stated, and a training algorithm was set forth. Statistical, combinatorial, and logic-and-probabilistic methods of risk analysis were described. High precision and robustness of the logic-and-probabilistic models of unsuccess risk were explained, and in terms of these characteristics the models were compared with other theories of risk and classification of objects. The results obtained can be used for modeling, analysis, and management of risks in complex organizational and technical systems. © MAIK “Nauka/Interperiodica” 2003 |
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D.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Features of the Logic-and-Probabilistic Risk Theory with Groups of Incompatible Events</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2003</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© MAIK “Nauka/Interperiodica” 2003</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The propositions and characteristics of the logic-and-probabilistic theory of unsuccess risk with groups of incompatible events were presented, as well as examples of unsuccess risk scenarios and logic and probabilistic models. 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