scholarly journals Venture Capital Investment Selection Decision-making Base on Fuzzy Theory

2012 ◽  
Vol 25 ◽  
pp. 1369-1375 ◽  
Author(s):  
Xubo Zhang
2014 ◽  
Vol 20 (4) ◽  
pp. 696-720 ◽  
Author(s):  
Reza Rostamzadeh ◽  
Kamariah Ismail ◽  
Edmundas Kazimieras Zavadskas

The roles of business angels (BAs) are especially important in view of both decreasing the levels of formal venture capital investment and growing the average amount of individual deals. Angel investors typically invest at an earlier stage of growth and provide more business guidance than venture capital providers. Therefore, angel investors are the key players in generating high-growth companies, essential to regional economic development. As a result, they have attracted the attention of policy makers. Thus, this research attempted to improve the conception of decision-making criteria used by the BAs for investment, and reports the findings of an exploratory project that analysed the Malaysian BAs’ decision-making process. A hierarchy of multiple criteria decision making (MCDM) model based on fuzzy sets theory and VIKOR (in Serbian: Vise Kriterijumska Optimizacija I Kompromisno Resenje) method were proposed in order to look into the decision making process. For this reason, 5 main criteria and 29 sub criteria were developed to be evaluated by 5 well-known BAs to assess and rate the criteria and alternatives using fuzzy linguistic variables. For the purpose of illustration, an empirical case study was conducted on Malaysian BAs and the results are presented with numerical examples. The final finding of the research suggested that Johor is the most suitable city for investment. Kuala Lumpur, Penang, and Sabahare placed in the subsequent ranks. The proposed framework had been successfully applied for the decision making process, and could be used by other BAs for their cases with slight modifications.


2016 ◽  
Vol 13 (10) ◽  
pp. 7115-7119 ◽  
Author(s):  
Dan-Cheng Luo ◽  
Ming-Han Yang ◽  
Li-Feng Gao

In the venture capital investment activities, project evaluation is a more important step, which directly lead to the success or failure of venture capital activities. In China, the evaluation approaches of venture capital is not be created, in a degree, which is bad to the health development of the venture capital industry in China. In this paper, motivated by the idea of traditional I-CG operator, we have proposed the induced hesitant fuzzy uncertain linguistic correlated geometric (IHFULCG) operator. Then, we have utilized the IHFULCG operator to develop some approaches to solve the hesitant fuzzy uncertain linguistic multiple attribute decision making problems. Finally, a practical example for evaluating the risk of financial market’s venture capital project is given.


2017 ◽  
Vol 2017 (1707) ◽  
Author(s):  
Tyler Atkinson ◽  
◽  
John V. Duca ◽  

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 553-562
Author(s):  
Dr. Devarajappa S

The Main objective of the paper is to examine the current trends and progress of the venture capital in India and the paper also highlights the concept and stages of financing of venture capital. To meet the aim objective of the study the researcher used secondary sources. The required secondary information has been collected through various articles, reports, magazines’ and websites. To examine the trends of venture capital in India, IVCA (Indian Venture Capital Association) report is used.  For the purpose of examine the data; the statistical tools like Mean, Standard Deviation, Charts and ANOVA, Correlation coefficient have been employed.   The study concludes that, the venture capital investment has been increasing in India and this is the positive indication for the country, to curb the unemployment, economic empowerment of people through maximizing startups in India


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