This paper presents an optimal guidance algorithm which takes into account the driver compliance to route advice.
The optimization problem consists m minimizing the travel time of guided vehicles using a model which describes the traffic by a set of flows on a graph. Driver compliance is modelled by additional constraints of flow variables. This optimiTation woblem is solved using the Simplex Algorithm, rectwsively. An assessment of the criteria degradation induced by non-perfect compliance is performed. Results show that thls degradation of the criteria is significant in heavy traffic conditions, and that human factors cannot be neglected in route guidance systems. 038 Knowledge-Based Systems and Neural Networks for Cliuicui Decision Making N.B. Jones, J.T. Wang, A.S. Sehmi, D.P. DeBono, pp 171-174
Two knowledge-based systems (KBS) and an artificial neural network (ANN) for clinical decision maldng, and their applications in ECG interpretation, are presented. One KBS contains "shallow" knowledge expressed in declarative form and employs fuzzy-set theory to deal with imprecise concepts in the encoded knowledge and with imprecision of measurements. Another system uses "deep" knowledge expressed as a qualitative ECG simulation, based on vectorial analysis. An experimental ANN was constructed for ECG interpretation. Each system has its own value in ECG interpretation with some restrictions.
Comparisons between these systems are given.