A random fuzzy multi-objective linear programming approach through possibility theory
by Javad Nematian
European J. of Industrial Engineering (EJIE), Vol. 9, No. 4, 2015

Abstract: This paper presents new methods for a multi-objective linear programming (MOLP) problem with random fuzzy variables (RFVs). First, a robust MOLP problem is introduced in which the coefficients of objective functions and constraints are RFVs. Then, the proposed problem is transformed into deterministic linear programming problems by new methods based on the idea of possibility theory and the random fuzzy chance-constrained programming. These methods can satisfy optimistic and pessimistic decision makers separately and simultaneously. Finally, an example is also solved to clarify the discussed methods. [Received 13 June 2013; Revised 24 November 2013; Revised 5 April 2014; Accepted 20 April 2014]

Online publication date: Thu, 02-Jul-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the European J. of Industrial Engineering (EJIE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com