Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

An adaptative system for signposted intersection control : ASSINC

Elkosantini S., Mnif F., Chabchoub H.

Journal of Artificial Intelligence and Soft Computing Research

2012

Vol. 2, No. 1

21--29

This paper deals with the development of intelligent and adaptative system for signposted intersection control. The role of such systems is to manage the existing infrastructure to ease congestion and respond to crises. The proposed system, named ASSINC, try to insure a more fluid traffic flow. ASSINC is based on case based reasoning (CBR) approach and fuzzy logic to consider imprecise information taken from some detector. In fact, the CBR is always considered as a cyclic paradigm of Artificial Intelligence and that is used to learning and problem solving based on past experience. The developed system is tested on a virtual junction and the obtained results are discussed.

Disset: a disjunctive sorting method based on evidence theory

Boujelben M. A., De Smet Y., Frikha A., Chabchoub H.

Foundations of Computing and Decision Sciences

2007

Vol. 32, No. 4

253-274

We consider sorting problems where information about categories is represented by a Learning Set (LS), i.e. a set of alternatives and their related labels. The distinctive feature of our approach relies on the fact that both precise and imprecise information about the LS can be handled. More precisely, we assume that each alternative of the LS may belong to a unique category or a disjunction of successive categories. Our method proceeds in four stages: the comparison, the definition of Basic Belief Assignments (BBA's), the combination and the assignment. Artificial data sets are used to test the method and to compare its results with those provided by an ELECTRE TRI like procedure.