Linear programming with fuzzy parameters: non-simplex based approaches

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this chapter, the non-simplex based approaches for solving several kinds of LPPs with fuzzy parameters are explored. In such approaches, the fuzzy constraints are first converted to crisp ones based on arithmetic operations on fuzzy numbers and then the standard methods are used for solving the crisp problems. Such approaches increase the number of functional constraints and thus directly affect the computational time of the simplex method.

Cite

CITATION STYLE

APA

Ebrahimnejad, A., & Verdegay, J. L. (2018). Linear programming with fuzzy parameters: non-simplex based approaches. In Studies in Fuzziness and Soft Computing (Vol. 364, pp. 205–303). Springer Verlag. https://doi.org/10.1007/978-3-319-73903-8_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free