Optimised solutions despite inexact input

Fuzzy logic means diffused or indefinite logic and deals with processing data and rules that exist wholly or partly in a fuzzy or qualitative form. Whereas a statement can only be true or false in classical logic, statements in fuzzy logic may be a little bit true or not completely false. This type of flexible logic is used in order to be able to take fast and precise decisions within complex logistical processes. Decisions are hereby taken in a manner similar to that used by humans. Everybody regularly takes fuzzy qualitative decisions, for example when parking their car. Instead of measuring the parking space exactly, you make a rough guess on all sides as to whether the car will fit in the gap or not. This ability to derive correct decisions from inexact input can be transferred to software programs. In connection with the mechanical efficiency of computers, the human decision-making ability can be greatly exceeded with large amounts of data. Wherever changing and imprecise input is available for processing, software programs with fuzzy logic do not look for the one single correct solution since this cannot be found on the basis of the inexact input. Rather, they derive the right, the optimum solution from the given conditions. This is why fuzzy logic is ideal for controlling logistical processes.

Fuzzy logic is an indispensable element of INFORM software. It ensures that even extremely complex processes are optimised in both the run-up and during the process flow, all capacities are used at optimal cost and all resources utilised evenly.