EconPapers    
Economics at your fingertips  
 

The transportation problem under probabilistic and fuzzy uncertainties

Ludmiła Dymowa (dymowa@icis.pcz.czest.pl) and Marek Dolata (marek@zapr.com.pl)

Operations Research and Decisions, 2003, vol. 13, issue 4, 23-31

Abstract: The paper presents further development of an approach proposed by Stefan Chanas and Dorota Kuchta [1], [2] for the transportation problem solution in the case of fuzzy coefficients. The direct fuzzy extension of usual simplex method is used to realize a numerical fuzzy optimization algorithm with fuzzy constraints. It must be emphasized that the fuzzy numerical method proposed is based on the practical embodiment of the pioneer idea of Stefan Chanas [3], [4] to consider fuzzy values in the probabilistic sense. The problem is formulated in a more general form of the distributor’s benefit maximization.

Keywords: transportation problem; fuzzy coefficients; simplex method; fuzzy numerical method (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ord.pwr.edu.pl/assets/papers_archive/200343%20-%20published.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:4:y:2003:p:2

Access Statistics for this article

More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski (adam.kasperski@pwr.edu.pl).

 
Page updated 2025-03-22
Handle: RePEc:wut:journl:v:4:y:2003:p:2