Neutrosophic Application For Decision Logic In Robot Intelligent Control Systems

Abstract

The paper presents the research undertaken for extending the functionality of a regular fuzzy multi-input decision support system through the application of basic neutrosophy principles. The application is designed and simulated using tools already available for the fuzzy implementation, adapted to the requirements of the neutrosophic extension. The results show an increase in the decision classification index, while improving the environmental accuracy of the considered model.