TY - GEN
T1 - The prametric-based GDM selection procedure under linguistic assessments
AU - Hou, Fujun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/25
Y1 - 2015/11/25
N2 - The prametric-based procedure is a group decision making (GDM) selection process minimizing a consensus gap indicator, which is not a metric but a prametric. The prametric is an 'almost metric' which does not necessarily satisfy the triangle inequality but able to describe the consensus intransitivity in GDM. This paper considers the procedure under a linguistic situation, where the individuals preferences are provided as linguistic preference relations. The procedure contains two main stages. The first stage looks for the individual's ties-permitted ordinal rankings from the individual's opinions. In order to do this, we introduce an acceptable consistency criterion for linguistic preference relations and show some related properties. If the linguistic preference relation is acceptable, we then obtain the ties-permitted ordinal ranking directly. Otherwise, the ties-permitted ordinal ranking will be deduced by minimizing a consensus gap. The second stage looks for the final solution sets of alternatives by minimizing the gap between a potential solution and the rankings obtained in the first stage. Some illustrative examples are included.
AB - The prametric-based procedure is a group decision making (GDM) selection process minimizing a consensus gap indicator, which is not a metric but a prametric. The prametric is an 'almost metric' which does not necessarily satisfy the triangle inequality but able to describe the consensus intransitivity in GDM. This paper considers the procedure under a linguistic situation, where the individuals preferences are provided as linguistic preference relations. The procedure contains two main stages. The first stage looks for the individual's ties-permitted ordinal rankings from the individual's opinions. In order to do this, we introduce an acceptable consistency criterion for linguistic preference relations and show some related properties. If the linguistic preference relation is acceptable, we then obtain the ties-permitted ordinal ranking directly. Otherwise, the ties-permitted ordinal ranking will be deduced by minimizing a consensus gap. The second stage looks for the final solution sets of alternatives by minimizing the gap between a potential solution and the rankings obtained in the first stage. Some illustrative examples are included.
UR - http://www.scopus.com/inward/record.url?scp=84975686299&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2015.7337821
DO - 10.1109/FUZZ-IEEE.2015.7337821
M3 - Conference contribution
AN - SCOPUS:84975686299
T3 - IEEE International Conference on Fuzzy Systems
BT - FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems
A2 - Yazici, Adnan
A2 - Pal, Nikhil R.
A2 - Ishibuchi, Hisao
A2 - Tutmez, Bulent
A2 - Lin, Chin-Teng
A2 - Sousa, Joao M. C.
A2 - Kaymak, Uzay
A2 - Martin, Trevor
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015
Y2 - 2 August 2015 through 5 August 2015
ER -