Analytic expression of optimal solution of M & A matching based on fuzzy number method

Autor: Lina Wang, Manwen Tian, Hong-Ping Yan, Weihong Li, Shurong Yan
Rok vydání: 2018
Předmět:
Zdroj: Discrete & Continuous Dynamical Systems - S.
ISSN: 1937-1179
DOI: 10.3934/dcdss.2020271
Popis: Research on the merger and acquisition matching focuses on strategic matching, organizational matching and resource matching in academic circles, but merger and acquisition matching is more in line with the rational decision from the efficiency and scale, and the existing DEA research has not paid sufficient attention to this topic. In order to increase the flexibility of M & A matching, this paper studies the M & A matching problem from efficiency and scale using DEA model and fuzzy number method, and gives Analytic Expression of Optimal Solution of M & A Matching of two methods. The example shows that the method is feasible and effective and has important practical significance for strategic M & A.
Databáze: OpenAIRE