DEVELOPMENT OF THE LOGISTICS RISKS MANAGEMENT TECHNIUES FOR INDUSTRIAL ENTERPRISES USING A MATHEMATICAL MODELS
A multi-step logistics risks management techniques for industrial enterprises under uncertainty is proposed. This techniques includes the stage of construction of fuzzy cognitive maps for risk assessment and the stage of the fuzzy-logic procedure development for rational risk management activities selection using a classification model of dangerous situations, fuzzy semantic graphs and fuzzy-logic trees of possible solutions that can improve the scientific validity and reliability of decisions in risk management.