TRANSPORT ROUTE PLANNING MODELS BASED ON FUZZY APPROACH

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

BRITO J.; MORENO J.A.; VERDEGAY J.L.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Fuzzy Systems Year:2012 | Volume:9 | Issue:1 Page(s): 141-158

Download Full-Text

Persian Verion

View:

1,250

Download:

Cites:

Information Journal Paper

Title

TRANSPORT ROUTE PLANNING MODELS BASED ON FUZZY APPROACH

Author(s)

BRITO J. | MORENO J.A. | VERDEGAY J.L. | Issue Writer Certificate

Keywords

FUZZY OPTIMIZATIONQ2

ROUTE PLANNINGQ2

SOFT COMPUTINGQ2

Abstract

Transport ROUTE PLANNING is one of the most important and frequent activities in supply chain management. The design of information systems for ROUTE PLANNING in real contexts faces two relevant challenges: the complexity of the planning and the lack of complete and precise information. The purpose of this paper is to find methods for the development of transport ROUTE PLANNING in uncertainty decision making contexts. The paper uses an approximation that integrates a specific fuzzy-based methodology from SOFT COMPUTING. We present several FUZZY OPTIMIZATION models that address the imprecision and/or flexibility of some of its components. These models allow transport ROUTE PLANNING problems to be solve with the help of metaheuristics in a concise way. A simple numerical example is shown to illustrate this approach.

Cites

No record.

References

No record.

Cite

Related Journal Papers