Paper Info

Title | ||
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Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order |

Abstract | ||
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To describe the response of engineering complex systems to various damage mechanics, engineers have traditionally use number-valued utilities to describe the results of different possible outcomes, and (number-valued) probabilities (often, subjective probabilities) to describe the relative frequency of different outcomes. This description is based on the assumption that experts can always make a definite preference between two possible outcomes, i.e., that the set of all outcomes is linearly (totally) ordered. In practice, experts often cannot make a choice, their preference is only a partial order. In this paper, we describe a new approach based on partial order. |

Year | DOI | Venue |
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2003 | 10.1007/978-3-540-24588-9_31 | Lecture Notes in Computer Science |

Keywords | Field | DocType |

partial order | Complex system,Preference relation,Mathematical optimization,Systems theory,Linear space,Frequency,Artificial intelligence,Damage mechanics,Mathematics,Partially ordered set | Conference |

Volume | ISSN | Citations |

2907 | 0302-9743 | 3 |

PageRank | References | Authors |

0.59 | 2 | 7 |

Authors (7 rows)

Cited by (3 rows)

References (2 rows)

Name | Order | Citations | PageRank |
---|---|---|---|

Paul J. Tanenbaum | 1 | 74 | 8.11 |

Carlos De La Mora | 2 | 3 | 0.59 |

Piotr Wojciechowski | 3 | 24 | 4.75 |

Olga Kosheleva | 4 | 97 | 54.24 |

Vladik Kreinovich | 5 | 1091 | 281.07 |

Scott A. Starks | 6 | 61 | 12.76 |

Alexandr V. Kuzminykh | 7 | 3 | 0.59 |