Operating Model Decision-Making Object Knowledge Quantum Database Target Feature Method of Different-Level Algorithmic Knowledge Quantum Implicative Law
Issue Date:
2007
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
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.