Determining the number of postal units in the network – Fuzzy approach, Serbia case study

Author:

Blagojević Mladenka,Šelmić Milica,Macura Dragana,Šarac Dragana

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference18 articles.

1. Carmona, P. & Castro, J. (2005). Interpretability enhancement of fuzzy modeling using Ant colony optimization. In First international workshop on genetic fuzzy systems, Proceedings of the paper (pp. 148–154).

2. Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems;Casillas;Soft Computing,2009

3. Chen, D., Zhang, J., & Jia, Sh. (2007). WM method and its application in traffic flow modeling. In International conference on transportation engineering (pp. 339–345).

4. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base;Cordon;IEEE Transactions on Fuzzy Systems,2001

5. ERGP. (2012). “ERGP REPORT on “access” to the postal network and elements of postal infrastructure”.

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