MULTI-CRITERIA MULTI-FUZZY MODELS FOR MONITORING OF DISTRIBUTED LOGISTICS FLOWS PROCESSES

Abstract

The report presents some research results on the formation of multicriteria multi-fuzzy models of information technologies that correspond to the tasks of monitoring parameters of complex integrated and decentralized transport technologies. Examples of such information technologies are systems for monitoring distributed logistic flows of train formation and cargo transportation processes. The features of multi-fuzzy system models (Multi-Fuzzy System Models) are provided. As examples of unified MFSM modeling and diagnostics procedures for indeterminate processes with multiple data uncertainty, as well as multicriteria, procedures for implementing vector optimization tasks in conditions of multiple data uncertainty are described. The procedures generalize the Takagi-Sugeno fuzzy control method.