Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support

doi:10.1108/02635570310479981

Login

Welcome:
Guest

Search for:

Browse:

Resources:

Industrial Management & Data Systems

ISSN: 0263-5577

Online from: 1970

Subject Area: Information and Knowledge Management

Content: Latest Issue | Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support

Document Information:
Title:	Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support
Author(s):	Mikael Collan, (Institute for Advanced Management Systems Research, IAMSR and Turku Centre for Computer Science, TUCS, Åbo Akademi University, Turku, Finland), Shuhua Liu, (Institute for Advanced Management Systems Research, IAMSR and Turku Centre for Computer Science, TUCS, Åbo Akademi University, Turku, Finland)
Citation:	Mikael Collan, Shuhua Liu, (2003) "Fuzzy logic and intelligent agents: towards the next step of capital budgeting decision support", Industrial Management & Data Systems, Vol. 103 Iss: 6, pp.410 - 422
Keywords:	Capital budgeting, Fuzzy logic, Intelligent agents
Article type:	Research Paper
DOI:	10.1108/02635570310479981 (Permanent URL)
Publisher:	MCB UP Ltd
Abstract:	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.