Assessment of Enterprise Value in Chemical Industry by Using Fuzzy Decision Making Method

• Main Authors: Shouhui He, Xiaodong Li, Yan Wang, Hongda Liu
• Format: Article
• Language: English
• Published: AIDIC Servizi S.r.l. 2017-12-01
• Series: Chemical Engineering Transactions
• Online Access: https://www.cetjournal.it/index.php/cet/article/view/1039

Enterprise value as an important index to compare different enterprises has attracted much attention from academic and practical fields, which could denote the value that an enterprise can create and has been widely applied venture investment, financing, enterprise annexation and so on. It is worth to note that in chemical industry, enterprise value is different to other general enterprises. Risk and safety should be highlighted here. In this paper, in order to evaluate value of a chemical enterprise objectively and scientifically, we develop a fuzzy decision making method based on hesitant fuzzy information. Based on this hesitant fuzzy model, similarity measure is introduced to aggregate hesitant fuzzy assessments provided by the decision maker and generates a final optimal enterprise whose value is the best one in all evaluated enterprises. The advantages and disadvantages are also analysed in a simulation experiment. In the future, this proposed method may be extended to more chemical enterprises and help them improve their enterprise value to achieve high level of competitiveness.