TY  - JOUR
T1  - Expert System for Risk Assessment of M&A-Projects
AU - Karelina, Mariia AU - Trofimova, Violetta AU - Ivanova, Tatiana 
JO  - International Business Management
VL  - 9
IS  - 5
SP  - 762
EP  - 770
PY  - 2015
DA  - 2001/08/19
SN  - 1993-5250
DO  - ibm.2015.762.770
UR  - https://makhillpublications.co/view-article.php?doi=ibm.2015.762.770
KW  - Russia
KW  -metallurgy
KW  -Fuzzy logic
KW  -fuzzy set
KW  -membership functions
KW  -rule matrix
KW  -linguistic variables
KW  -risk
KW  -M&A
AB  - The study researches the application of several fuzzy logic concepts to evaluating risk rating of M&A projects undertaken by a large Russian Metallurgic Holding: maxmin compression, fuzzy relationship of preferences, additive compression, linguistic vector estimates. The way of expert answer treatment is presented for the possibility of further fuzzy logic methods application. The 20 M&A projects are used as the empirical basis for the research. The methods applied show consistency in final estimates proving the ability of their use in MA deals’ risk outcomes evaluation. The findings suggest fuzzy logic is a useful tool to evaluating gross risk of M&A projects. The gross risk estimate obtained enables to forecast the outcome of M&A deal, adjust the key financials and make the decision on whether to proceed with the deal or not during the first stage of M&A process. The proposed algorithm of M&A deals gross risk evaluation at OJSC Magnitogorsk Metallurgy Plant has proven its applicability and might be advised for further implementation at industrial enterprises.
ER  -