Intelligent Task Planning System Based on Methods of Fuzzy Natural Logic

In this paper, we present a novel approach to task planning based on an intelligent expert system that makes it possible obtain conclusion linguistically characterized knowledge. The main goal of the proposed is arrange and display tasks for solver in effective way. Therefore, shows most important first then less ones (in determined ordering). has list arranged according their importance at each time displayed. Another show effectiveness all subordinate workers (solvers) manager. knowledge contained by three linguistic descriptions: determination importance, final efficiency solvers. ordered real time. Evaluation relative performed periodically. been implemented as WEB application verified data set. We also experimental results our system.