Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2019.1697327
Probabilistic hesitant fuzzy multiple attribute decisionmaking based on regret theory for the evaluation of venture capital projects
Xiaodi Liu
Zengwen Wang
Shitao Zhang
Jiashu Liu
Sažetak
The selection of venture capital investment projects is one of the
most important decision-making activities for venture capitalists.
Due to the complexity of investment market and the limited cognition
of people, most of the venture capital investment decision
problems are highly uncertain and the venture capitalists are
often bounded rational under uncertainty. To address such problems,
this article presents an approach based on regret theory to
probabilistic hesitant fuzzy multiple attribute decision-making.
Firstly, when the information on the occurrence probabilities of
all the elements in the probabilistic hesitant fuzzy element
(P.H.F.E.) is unknown or partially known, two different mathematical
programming models based on water-filling theory and the
maximum entropy principle are provided to handle these complex
situations. Secondly, to capture the psychological behaviours
of venture capitalists, the regret theory is utilised to solve the
problem of selection of venture capital investment projects.
Finally, comparative analysis with the existing approaches is conducted
to demonstrate the feasibility and applicability of the proposed
method.
Ključne riječi
probabilistic hesitant fuzzy set (P.H.F.S.); multiple attribute decision-making; probability calculation; mathematical programming model; investment decision
Hrčak ID:
254412
URI
Datum izdavanja:
9.2.2021.
Posjeta: 746 *