Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
The Net Present Value (NPV) approach is often used as a tool to rank projects and it uses a total order approach. This paper applies a new method developed by De Baets and Van de Walle (1994, 1995) and which we will call ‘fuzzy multicriteria analysis’ (FMCA). The main objective of this new method is to weaken the total order into a fuzzy quasi‐order in which incomparability between alternatives is possible. Although other methods such as Roy’s outranking method also deal with the issue of incomparability, there are important methodological differences between FMCA and outranking. We consider first an application of FMCA to a general NPV ranking problem. Some properties are derived which may be useful and we then describe an application to a practical example in which three projects yield the same NPV outcome. Different alpha‐cuts imply different crisp quasi‐orders. The use of FMCA shows that, in this sample case, though the projects have equal NPVs, a ranking may still be possible. Copyright © 1998 John Wiley & Sons, Ltd.
Intelligent Systems in Accounting Finance & Management – Wiley
Published: Dec 1, 1998
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.