Polymorphic Hybridization of Fuzzy Situational and Cognitive Models for Intelligent Decision Support
摘要
Abstract
The results of the analysis of tasks and methods of intelligent decision support based on fuzzy situational and cognitive approaches are presented. A method for polymorphic hybridization of fuzzy situational-network and fuzzy cognitive models is proposed that provides structural-parametric correspondence of these models; convergence and interdependence of procedures for constructing and adjusting these models within a single polymorphic model; and joint interdependent use of fuzzy situational-network and fuzzy cognitive models for intelligent decision-making support. Varieties of soft situational-cognitive models aimed at performing tasks of intellectual support for decision making are proposed.