Modeling of Passenger Transport Logistics Based on Intelligent Computational Techniques

Abstract

The paper describes the analysis of the application of classic and optimized triangular norms in the hierarchical structure of weighted fuzzy Petri nets on the example of passenger transport logistics. The research is presented in a scheme with several levels of tasks. Each task includes some knowledge sets which were previously given by the experts and set into tables of “Object–property” type. It leads to the creation of a hierarchical structure of weighted fuzzy Petri net model which includes 125 possible combinations of triples of functions for calculation processing. A classic triple of functions (ZtN, GtN, ZsN) is tested and compared with an optimized triple (ZtN, ZtN, LsN). Additional verification methods are applied to confirm the practical usefulness of these triples. These techniques imply the use of additional triples which can be associated with each other along with practically efficient mathematical calculations.

Intelligent Analysis of Logistics Information Based on Dynamic Network Data

“…It is undeniable that using the existing static information analysis methods, it is difficult to analyze and process the dynamic information resources in real time in the face of massive, complex, and dynamic logistics information in the big data environment; to analyze and mine a large number of hidden and useful knowledge and wealth, we must be inseparable from intelligent information analysis and processing methods. erefore, based on the research results of experts and scholars at home and abroad, this paper will comprehensively apply the advanced theories and technologies in multi-disciplinary fields [8,9], and focus on exploring the intelligent logistics information analysis method system based on cloud mining, in order to attract jade for relevant research.…”