TY - JOUR
T1 - A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets
AU - Chen, Ting Yu
PY - 2013
Y1 - 2013
N2 - The theory of interval type-2 fuzzy sets is valuable for modeling impressions in multiple-criteria decision analysis problems. Based on signed distances, we develop a new linear assignment method to produce an optimal preference ranking of the alternatives in accordance with a set of criterion-wise rankings and a set of criterion importance within the context of interval type-2 trapezoidal fuzzy numbers. Applying the proposed method to a case involving the selection of a landfill site, we demonstrate that the proposed method is easy to employ and that it produces actionable results that aid the decision-making process. The proposed interval type-2 fuzzy linear assignment method utilizes signed distances, does not require a complicated computation procedure and will be beneficial to decision analysis.
AB - The theory of interval type-2 fuzzy sets is valuable for modeling impressions in multiple-criteria decision analysis problems. Based on signed distances, we develop a new linear assignment method to produce an optimal preference ranking of the alternatives in accordance with a set of criterion-wise rankings and a set of criterion importance within the context of interval type-2 trapezoidal fuzzy numbers. Applying the proposed method to a case involving the selection of a landfill site, we demonstrate that the proposed method is easy to employ and that it produces actionable results that aid the decision-making process. The proposed interval type-2 fuzzy linear assignment method utilizes signed distances, does not require a complicated computation procedure and will be beneficial to decision analysis.
KW - Interval type-2 fuzzy set
KW - Interval type-2 trapezoidal fuzzy number
KW - Linear assignment method
KW - Multiple-criteria decision analysis
KW - Signed distance
UR - https://www.scopus.com/pages/publications/84885662323
U2 - 10.1016/j.asoc.2012.11.013
DO - 10.1016/j.asoc.2012.11.013
M3 - 文章
AN - SCOPUS:84885662323
SN - 1568-4946
VL - 13
SP - 2735
EP - 2748
JO - Applied Soft Computing Journal
JF - Applied Soft Computing Journal
IS - 5
ER -