TY - JOUR
T1 - A method for repairing the inconsistency of fuzzy preference relations
AU - Ma, Jian
AU - Fan, Zhi-Ping
AU - Jiang, Yan-Ping
AU - Mao, Ji-Ye
AU - Ma, Louis
PY - 2006/1/1
Y1 - 2006/1/1
N2 - This paper investigates the inconsistency problems of preference information about alternatives expressed as a fuzzy preference relation by a decision maker. An analysis method is presented to identify the inconsistency and weak transitivity of a fuzzy preference relation and to repair its inconsistency to reach weak transitivity. First, several definitions are given on additive consistency, inconsistency and weak transitivity of a fuzzy preference relation. Next, two methods derived from graph theory are presented to judge whether a fuzzy preference relation has weak transitivity or not. Then, an algorithm is developed to repair an inconsistent fuzzy preference relation and to make it become one with weak transitivity, via a synthesis matrix which reflects the relationship between the fuzzy preference relation with additive consistency and the initial one given by a decision maker. A convergence theorem is also given for the algorithm. Lastly, two numerical examples are shown to illustrate the proposed method. © 2005 Elsevier B.V. All rights reserved.
AB - This paper investigates the inconsistency problems of preference information about alternatives expressed as a fuzzy preference relation by a decision maker. An analysis method is presented to identify the inconsistency and weak transitivity of a fuzzy preference relation and to repair its inconsistency to reach weak transitivity. First, several definitions are given on additive consistency, inconsistency and weak transitivity of a fuzzy preference relation. Next, two methods derived from graph theory are presented to judge whether a fuzzy preference relation has weak transitivity or not. Then, an algorithm is developed to repair an inconsistent fuzzy preference relation and to make it become one with weak transitivity, via a synthesis matrix which reflects the relationship between the fuzzy preference relation with additive consistency and the initial one given by a decision maker. A convergence theorem is also given for the algorithm. Lastly, two numerical examples are shown to illustrate the proposed method. © 2005 Elsevier B.V. All rights reserved.
KW - Additive consistency
KW - Fuzzy preference relations
KW - Inconsistency
KW - Weak transitivity
UR - http://www.scopus.com/inward/record.url?scp=27344433112&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-27344433112&origin=recordpage
U2 - 10.1016/j.fss.2005.05.046
DO - 10.1016/j.fss.2005.05.046
M3 - RGC 21 - Publication in refereed journal
SN - 0165-0114
VL - 157
SP - 20
EP - 33
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
IS - 1
ER -