Intelligent distributed and supervised flow control methodology for production systems
Engineering Applications of Artificial Intelligence
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
A Midpoint--Radius approach to regression with interval data
International Journal of Approximate Reasoning
Adaptive neuro-fuzzy pedagogical recommender
Expert Systems with Applications: An International Journal
Stability analysis and design of a class of MIMO fuzzy control systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.00 |
This paper aims at expressing MIN and MAX operations when triangular fuzzy intervals are taken as inputs, that is when Zadeh's extension principle is considered. First presented approach consists in representing fuzzy intervals by means of their profiles. In this context, a computation algorithm can be easily derived for implementing the MIN and MAX operations. Another methodology based on interval relations is then proposed for determining a general analytical expression of the MIN and MAX operations. The potential use of these expressions in the framework of uncertain aggregation operators is illustrated with the two-additive Choquet integral.