DocumentCode :
499004
Title :
Improved real option analysis based on fuzzy random variables
Author :
Wang, Bo ; Wang, Shu-ming ; Watada, Junzo
Author_Institution :
Dept. of Manage. Eng., Waseda Univ., Kitakyushu, Japan
Volume :
2
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
694
Lastpage :
699
Abstract :
The objective of this paper is to build a real options model under hybrid uncertain environment of randomness and fuzziness. In order to well describe the real uncertain situation, we utilize fuzzy random variable as a tool to characterize future cash flows, and propose a new real options analysis approach by combing binomial lattice-based model with fuzzy random variable, as named fuzzy random real options analysis (FR-ROA). Then the proposed FR-ROA is applied to an R&D project problem under fuzzy random environment, and the relations of FR-ROA with the classical ROA and the fuzzy ROA are explicitly discussed, respectively.
Keywords :
budgeting; fuzzy set theory; binomial lattice-based model; cash flows; fuzzy random real options analysis; fuzzy random variables; hybrid uncertain environment; Conference management; Cost accounting; Cybernetics; Engineering management; Environmental management; Fuzzy set theory; Machine learning; Random variables; Research and development; Uncertainty; Binomial lattice-based model; Future cash flow; Fuzzy random variable; Real options analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212448
Filename :
5212448
Link To Document :
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