Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
An M&A due diligence is the process in which one of the
parties to the transaction undertakes to investigate the other in
order to judge whether to go forward with the transaction on
the terms proposed. It encompasses the missions in three
phases: searching and preliminary screening potential
candidates, evaluating the candidates and deciding the target,
and assisting the after-transaction integration. This work
suggests using a Fuzzy Multiple Criteria Decision Making
approach (Fuzzy MCDM) and develops detailed algorithms to
carry out the second-phase task. The approach of MCDM is
able to facilitate the analysis and integration of information
from different aspects and criteria. The theory of Fuzzy Sets
can include qualitative information in addition to quantitative
information. In the developed algorithms the evaluators’
subjective judgments are expressed in linguistic terms which
can better reflect human intuitive thought than the quantitative
scores. These linguistic judgments are transformed into
fuzzy numbers and made subsequent synthesis with
quantitative financial figures. The order of candidates can be
ranked after a defuzzification. Then the acquiring firm can
work out a more specific study, including pricing and costing,
on the priority candidates so as to decide the target.
