The economic life of large investments necessitates constant dynamic managerial actions. To be able to act in an optimal way in the dynamic management of large investments managers need to have constant access to information about the real time situation of the investment, as well as access to up‐to‐date information about changes in the business environment. Looks at how emerging soft computing technologies will help to provide a better support in such a context and then to frame a support system that will make an integrated application of the technologies. Introduces traditional and advanced methods for capital budgeting and investment decision making, then presents a process view of the real option framework based investment management, and develops a holistic framework for an agent‐facilitated capital budgeting system using a fuzzy real option approach. Discusses how intelligent agents can be applied to collect decision information, and to facilitate the integration of foresight information into capital budgeting process, and how the agents can be constructed. Finally, elaborates on the managerial implications of the proposed decision support technology.
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1 August 2003
Research Article|
August 01 2003
Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support Available to Purchase
Mikael Collan;
Mikael Collan
Institute for Advanced Management Systems Research, IAMSR and Turku Centre for Computer Science, TUCS, Åbo Akademi University, Turku, Finland
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Shuhua Liu
Shuhua Liu
Institute for Advanced Management Systems Research, IAMSR and Turku Centre for Computer Science, TUCS, Åbo Akademi University, Turku, Finland
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Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© MCB UP Limited
2003
Industrial Management & Data Systems (2003) 103 (6): 410–422.
Citation
Collan M, Liu S (2003), "Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support". Industrial Management & Data Systems, Vol. 103 No. 6 pp. 410–422, doi: https://doi.org/10.1108/02635570310479981
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