Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge

By Didier Dubois, H. Fargier, P. Fortemps. European Journal of Operational Research, 2003

325 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ddb1e02a6ace449300a7b82c99d1f2d2242a811f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. S. A. Torabi
2. Jafar Razmi
3. Mir Saman Pishvaee

In Industrial and Manufacturing Engineering

1. S. A. Torabi
2. Jafar Razmi
3. Mir Saman Pishvaee

In Management Science and Operations Research

1. Mir Saman Pishvaee
2. S. A. Torabi
3. Jafar Razmi

Citations in the corpus

• A possibilistic programming approach for closed-loop supply chain network design under uncertainty (2010, background): “It is noteworthy that uncertainty can be presented as: (1) flexibility in constraints and goals and/or (2) uncertainty in data (see [21]).”
• Robust possibilistic programming for socially responsible supply chain network design: A new approach (2012, methodology): “Several years later, Ben-Tal and Nemirovski [49,50] and El-Ghaoui et al. [51] put a significant step forward in RP theory by extending the work by Soyster [43] for uncertain linear problems with different convex uncertainty sets.”