TY - GEN
T1 - A consensus degree for hesitant fuzzy linguistic decision making
AU - Montserrat-Adell, Jordi
AU - Agell, N.
AU - Sanchez, Mónica
AU - Ruiz, Francisco Javier
N1 - Funding Information:
This research has been partially supported by the INVITE Research Project (TIN2016-80049-C2-1-R and TIN2016-80049-C2-2-R (AEI/FEDER, UE)), funded by the Spanish Ministry of Science and Information Technology.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/23
Y1 - 2017/8/23
N2 - This paper proposes a measure of consensus for group decision making in the hesitant fuzzy linguistic term sets framework. An extension of the set of hesitant fuzzy linguistic term sets is considered to capture differences among discordant assessments. The difference between a pair of disjoint assessments is given by a measure that takes into account the gap between them. The proposed measure of consensus is defined using this extension, and, as a result, we obtain more accurate values, i.e., the new measure is able to distinguish among group consensus levels that were indistinguishable according to existing measures of consensus. An illustrative example is provided to show the potential of the proposed consensus degree, the process of its computation and a comparison with an existing approach based on a similarity among decision makers.
AB - This paper proposes a measure of consensus for group decision making in the hesitant fuzzy linguistic term sets framework. An extension of the set of hesitant fuzzy linguistic term sets is considered to capture differences among discordant assessments. The difference between a pair of disjoint assessments is given by a measure that takes into account the gap between them. The proposed measure of consensus is defined using this extension, and, as a result, we obtain more accurate values, i.e., the new measure is able to distinguish among group consensus levels that were indistinguishable according to existing measures of consensus. An illustrative example is provided to show the potential of the proposed consensus degree, the process of its computation and a comparison with an existing approach based on a similarity among decision makers.
KW - Consensus models
KW - Group decision making
KW - Hesitant fuzzy linguistic term sets
KW - Linguistic decision making
UR - https://www.scopus.com/pages/publications/85030176975
U2 - 10.1109/FUZZ-IEEE.2017.8015491
DO - 10.1109/FUZZ-IEEE.2017.8015491
M3 - Conference contribution
AN - SCOPUS:85030176975
T3 - IEEE International Conference on Fuzzy Systems
BT - 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
Y2 - 9 July 2017 through 12 July 2017
ER -