Penalty Method Algorithm for Fully Fuzzified Linear Programming

Authors

  • B. Pop Transilvania University of Brasov, Romania
  • M. Stanojevic University of Belgrade, Serbia

Keywords:

fully fuzzified linear programming, triangular fuzzy number, trapezoidal fuzzy number, penalty method

Abstract

In this paper, we propose an algorithm for solving the fully fuzzified linear programming problems using a penalty method. We transform the problem of maximizing a fuzzy number under some constraints into a deterministic unconstraint multiple objective programming by penalizing the objective function for possible constraint violation.

Author Biographies

B. Pop, Transilvania University of Brasov, Romania

Computer Science Department

M. Stanojevic, University of Belgrade, Serbia

Organizational Sciences Faculty 

Published

2007-05-24

Issue

Vol. 13(48) (2006)

Section

MATHEMATICS, INFORMATICS