The paper is devoted to the modeling of expert logistics systems based on relational cognitive maps. The operating principle of a relational cognitive map and its application in expert systems are described. A model of an expert logistics system based on a cognitive map has been developed, supporting the planning and control of a logistics enterprise’s operations. Selected results of the system’s performance are presented.The paper is devoted to the application of relational cognitive maps in the modeling of expert logistics systems. A cognitive map is a universal tool that uses knowledge and experience to analyze and solve complex problems.
Expert systems based on cognitive maps are used in numerical time series prediction [2], in decision monitoring systems [3], as well as in complex process control systems [8].
A cognitive map is also an effective tool for modeling decision support systems, including in the field of network security [11], road transport [9], and in solving socio-economic problems [6].
The paper develops a model of an expert logistics system based on a crisp cognitive map.
Chapter 2 contains a description and the operating principle of an expert system based on cognitive maps.
Chapter 3 describes expert logistics systems and presents selected results of the system based on a cognitive map.
2. EXPERT SYSTEMS BASED ON RELATIONAL COGNITIVE MAPS
The basic element of the analyzed expert system is a relational cognitive map, which is presented below. Further on, similar expert structures will be called cognitive expert systems (CES).
2.1 Relational cognitive map
A relational cognitive map is an efficient tool that illustrates the factors relevant to the phenomenon under study and the relationships between them. The basis for constructing a cognitive map is a directed graph of the form [5,9]: (…)
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Source: Logistyka Magazine 6/2011