Qual Quant (2011) 45:969–983
A MCGP decision aid for homebuyers to make
the best choice
Ching-Ter Chang · Cheng-Yuan Ku ·
Hui-Ping Ho · Chechen Liao
Published online: 5 December 2010
© Springer Science+Business Media B.V. 2010
Abstract This study adopts a new approach, the multi-choice goal programming (MCGP),
to evaluate houses in order to help homebuyers to ﬁnd better house based on the residential
preferences. According to the function of MCGP, homebuyers can set multiple housing goals
with multiple aspiration levels. This increases the ﬂexibility to ﬁnd a suitable house. Com-
pared with other classical methods such as checklist and analytic hierarchy process, MCGP is
more efﬁcient, especially while considering a lot of housing criteria and house alternatives. In
order to demonstrate the usefulness of MCGP decision aid for housing selection, a real case
study is then provided. Furthermore, ten volunteers are invited to participate in the empirical
experiment. The results also validate the effectiveness and efﬁciency of MCGP decision aid.
Keywords Multi-choice goal programming · Housing decision · Optimization
C.-T. Chang (
Department of Information Management, Chang Gung University, 259 Wen-Hwa 1st Road,
Kwei-Shan, Tao-Yuan, 333 Taiwan, R.O.C.
e-mail: firstname.lastname@example.org; email@example.com
C.-Y. Ku · H.-P. Ho · C. Liao
Department of Information Management, National Chung Cheng University, 168 University Rd.,
Min-Hsiung, Chia-Yi, Taiwan, R.O.C.
Department of International Business Administration, Chienkuo Technology University,
Changhua, Taiwan, R.O.C.