NDLI: Unbalanced linguistic approach for venture investment evaluation with risk attitudes

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Unbalanced linguistic approach for venture investment evaluation with risk attitudes

Content Provider	Springer Nature Link
Author	Li, Cong Cong Dong, Yucheng
Copyright Year	2014
Abstract	In real-world decision problems, experts often feel more comfortable providing their knowledge and preferences via a linguistic way. In the venture investment evaluation, the venture capitalists are more sensitive to the high risk (or income) terms in the used linguistic term set. In other words, the unbalanced linguistic term sets are often used in venture investment evaluations. In this paper we present an unbalanced linguistic approach for venture investment evaluation with risk attitudes. First, by developing the unbalanced linguistic operators and unbalanced maximizing deviation method, we propose the evaluation process for this approach. Then, we integrate the risk attitudes of venture capitalists into the venture investment evaluation, and develop a novel selection process. In this selection process, the venture capitalist selects the best project(s) to invest, according to his/her risk attitudes. Finally, a practical example is given to illustrate the feasibility and applicability of the unbalanced linguistic approach for venture investment evaluation.
Starting Page	1
Ending Page	13
Page Count	13
File Format	PDF
ISSN	21926352
Journal	Progress in Artificial Intelligence
Volume Number	3
Issue Number	1
e-ISSN	21926360
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-04-07
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Risk attitudes Computational Intelligence Unbalanced linguistic term set Control, Robotics, Mechatronics Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Venture investment Language Translation and Linguistics The two-tuple linguistic representation model
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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