Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2020.1868323
CODAS methods for multiple attribute group decision making with interval-valued bipolar uncertain linguistic information and their application to risk assessment of Chinese enterprises’ overseas mergers and acquisitions
Jie Lan
Jiang Wu
Yanfeng Guo
Cun Wei
Guiwu Wei
Hui Gao
Sažetak
Bipolar fuzzy set theory has been successfully applied in some
areas, but there are situations in real life which can’t be represented by bipolar fuzzy sets. However, all the existing approaches
are unsuitable to describe the positive and negative membership
degree an element to an uncertain linguistic label to have an
interval value, which can reflect the decision maker’s confidence
level when they are making an evaluation. In order to overcome
this limit, we propose the definition of interval-valued bipolar
uncertain linguistic sets (IVBULSs) to solve this problem based on
the bipolar fuzzy sets and uncertain linguistic information processing models. In this paper, we extend the traditional information aggregating operators to interval-valued bipolar uncertain
linguistic sets (IVBULSs) and propose some IVBUL aggregating
operators. Then, we extend the CODAS method to solve multiple
attribute group decision making (MAGDM) issues with interval-valued bipolar uncertain linguistic numbers (IVBULNs) based on
these operators. An example for risk assessment of Chinese enterprises’ overseas mergers and acquisitions (M&As) is given to illustrate the proposed methodology.
Ključne riječi
Multiple attribute group decision making (MAGDM); bipolar fuzzy sets (BFSs); interval-valued bipolar uncertain linguistic sets (IVBULSs); CODAS method; Chinese enterprises’ overseas mergers and acquisitions (M&As)
Hrčak ID:
301477
URI
Datum izdavanja:
31.12.2021.
Posjeta: 175 *