A Method for Aggregating Linguistic Preference Relations Based on IOWA

DOI

10.2991/iske.2007.148How to use a DOI?

Keywords

IOWA operator; IULOWA operator; I-IOWA operator; ties; linguistic preference relations

Abstract

IOWA operator, which is proposed by Yager, et al, has been used in many fields. In the paper, we deal with group linguistic assessments decision-making problems based on IOWA. Firstly, in the homogeneous, the higher the consistence degree of experts is, the higher the weights of linguistic assessments is, thus we explain the order inducing value of IOWA operator as numbers of the experts who assign the same linguistic assessment; In the heterogeneous, the bigger the importance degree of exports is, the higher the weights of linguistic assessments is, thus we explain the order inducing value of IOWA operator as sum of importance degrees of all experts who assign the same linguistic assessment. Secondly, we use the order inducing values to compute the weights of IOWA operator. Thirdly, we use IOWA operator to aggregate group linguistic preference relations, and utilize linguistic length to dispose ’ties’ among linguistic assessments. Finally, we introduce a process of aggregation and give an example.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Qin
AU  - Zheng Pei
AU  - Nini Duan
PY  - 2007/10
DA  - 2007/10
TI  - A Method for Aggregating Linguistic Preference Relations Based on IOWA
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 866
EP  - 871
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.148
DO  - 10.2991/iske.2007.148
ID  - Qin2007/10
ER  -