TY - JOUR
T1 - An extended minimax disparity to determine the OWA operator weights
AU - Amin, Gholam R.
AU - Emrouznejad, Ali
PY - 2006/7
Y1 - 2006/7
N2 - This paper contributes to extend the minimax disparity to determine the ordered weighted averaging (OWA) model based on linear programming. It introduces the minimax disparity approach between any distinct pairs of the weights and uses the duality of linear programming to prove the feasibility of the extended OWA operator weights model. The paper finishes with an open problem. © 2006 Elsevier Ltd. All rights reserved.
AB - This paper contributes to extend the minimax disparity to determine the ordered weighted averaging (OWA) model based on linear programming. It introduces the minimax disparity approach between any distinct pairs of the weights and uses the duality of linear programming to prove the feasibility of the extended OWA operator weights model. The paper finishes with an open problem. © 2006 Elsevier Ltd. All rights reserved.
KW - duality of linear programming
KW - OWA operator weights
UR - http://www.scopus.com/inward/record.url?scp=33747752471&partnerID=8YFLogxK
UR - https://www.sciencedirect.com/science/article/pii/S0360835206000568?via%3Dihub
U2 - 10.1016/j.cie.2006.06.006
DO - 10.1016/j.cie.2006.06.006
M3 - Article
SN - 0360-8352
VL - 50
SP - 312
EP - 316
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
IS - 3
ER -