Document Type
Article
Abstract
By uncertain programming we mean the optimization theory in generally uncertain (random, fuzzy, rough, fuzzy random, etc.) environments. The main purpose of this paper is to present a brief review on uncertain programming models, and classify them into three broad classes: expected value model, chanceconstrained programming and dependent-chance programming. This presentation is based on the book: B. Liu, Theory and Practice of Uncertain Programming, PhisicaVerlag, Heidelberg, 2002
Recommended Citation
Liu, Baoding, "Modeling Decision Systems via Uncertain Programming" (2002). ICEB 2002 Proceedings (Taipei, Taiwan). 77.
https://aisel.aisnet.org/iceb2002/77