发明名称 Customer impact predictive model and combinatorial analysis
摘要 Systems and methods for objective Deployment Failure risk assessments are provided, which may include fault trees. Systems and methods for the analysis of fault trees are provided as well. The risk assessments system may involve the development of a fault tree, assigning initial values and weights to the events within that fault tree, and the subsequent revision of those values and weights in an iterative fashion, including comparison to historical data. The systems for analysis may involve the assignment of well-ordered values to some events in a fault tree, and then the combination those values through the application of specialized, defined gates. The system may further involve the revision of specific gates by comparison to historical or empirical data.
申请公布号 US8832657(B1) 申请公布日期 2014.09.09
申请号 US200912352029 申请日期 2009.01.12
申请人 Bank of America Corporation 发明人 Cowan John Lawton;Nemecek Rachel
分类号 G06F9/44;G21C17/00 主分类号 G06F9/44
代理机构 Weiss & Arons LLP 代理人 Weiss & Arons LLP ;Springs, Esq. Michael A.
主权项 1. A method of selecting an outcome corresponding to the presentation of two or more qualitative inputs, said inputs being members of one or more well-ordered sets, the method comprising: storing in computer readable memory one or more tables correlating combinations of inputs to outcomes; electronically receiving at least two of the inputs, wherein the presentation of the inputs is accomplished through a fault tree analytical model (“FTAM”), wherein the inputs comprise at least one root cause of a fault, wherein the root cause is a high level of design complexity; and retrieving from computer readable memory the outcome that corresponds to the at least two inputs, wherein said outcome is obtained through the application of at least one pre-defined result table specifying the possible inputs and at least one necessary outcome, wherein the outcome selected comprises a gate modification of the at least one pre-defined result table, and wherein the gate modification reflects the results of data mining on historical data relating, at least in part, to the one root cause of the fault.
地址 Charlotte NC US