Estimation Through the Imprecise Goal Programming Model View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1997

AUTHORS

Belaïd Aouni , Ossama Kettani , Jean-Marc Martel

ABSTRACT

The recent studies suggest that mathematical programming could be a good alternative to the conventional statistical analysis methods as the least squares method and the least absolute method. In fact, the mathematical programming models provide more flexibility for modelling the estimation context. This flexibility gives to the analyst a platform where his knowlege and experience can be an integral part of the parameters estimation. Moreover, the mathematical programming gives the possibility to take in account the imprecision associated with some variable values. This paper suggests an estimation model which enables the analyst to integrate his experience and judgement in a context where the values of the dependant variable are imprecise and expressed by an interval. More... »

PAGES

120-128

Book

TITLE

Advances in Multiple Objective and Goal Programming

ISBN

978-3-540-63599-4
978-3-642-46854-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-46854-4_13

DOI

http://dx.doi.org/10.1007/978-3-642-46854-4_13

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024682708


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