Fuzzy-logic-based risk management of m&a deals outcome: a casy-study a large Russian metallurgic holding

Autor: Polikarpova, Maria
Jazyk: ruština
Rok vydání: 2013
Předmět:
Zdroj: Вестник Магнитогорского государственного технического университета им. Г.И. Носова.
ISSN: 1995-2732
Popis: The paper 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. The way of expert answer treatment is presented for the possibility of further fuzzy logic methods application. 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 proposed method can be used to evaluate risk consequences for M&A deals.
Databáze: OpenAIRE