Operating Model of Knowledge Quantum Engineering for Decision-Making in Conditions of Indeterminacy
Data(s) |
03/12/2009
03/12/2009
2007
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Resumo |
The operating model of knowledge quantum engineering for identification and prognostic decision- making in conditions of α-indeterminacy is suggested in the article. The synthesized operating model solves three basic tasks: Аt-task to formalize tk-knowledge; Вt-task to recognize (identify) objects according to observed results; Сt-task to extrapolate (prognosticate) the observed results. Operating derivation of identification and prognostic decisions using authentic different-level algorithmic knowledge quantum (using tRAKZ-method) assumes synthesis of authentic knowledge quantum database (BtkZ) using induction operator as a system of implicative laws, and then using deduction operator according to the observed tk-knowledge and BtkZ a derivation of identification or prognostic decisions in a form of new tk-knowledge. |
Identificador |
1313-0463 |
Idioma(s) |
en |
Publicador |
Institute of Information Theories and Applications FOI ITHEA |
Palavras-Chave | #Operating Model #Decision-Making Object #Knowledge Quantum Database #Target Feature #Method of Different-Level Algorithmic Knowledge Quantum #Implicative Law |
Tipo |
Article |