Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Grey Theory Based Multiple Attribute Approach for R&D Project Portfolio Selection

A Grey Theory Based Multiple Attribute Approach for R&D Project Portfolio Selection Fuzzy Information and Engineering 7 (2015) 211–225 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). http://dx.doi.org/10.1016/j.fiae.2015.05.006 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Fuzzy Information and Engineering Taylor & Francis

A Grey Theory Based Multiple Attribute Approach for R&D Project Portfolio Selection

Fuzzy Information and Engineering , Volume 7 (2): 15 – Jun 1, 2015

A Grey Theory Based Multiple Attribute Approach for R&D Project Portfolio Selection

Abstract

AbstractIn this paper, the research and development (R&D) project portfolio selection problem is introduced as a multiple attribute decision making problem. Recognizing and modeling the project interdependencies provide valuable cost savings and other greater benefits to organizations. Therefore, besides conventional attributes like cost and outcome, different type of interdependencies are also considered as attributes. Since the decision makers’ preferences on the project...
Loading next page...
 
/lp/taylor-francis/a-grey-theory-based-multiple-attribute-approach-for-r-d-project-o6x9fBsbav
Publisher
Taylor & Francis
Copyright
© 2015 Fuzzy Information and Engineering Branch of the Operations Research Society of China. Production and hosting by Elsevier B.V. All rights reserved.
ISSN
1616-8666
eISSN
1616-8658
DOI
10.1016/j.fiae.2015.05.006
Publisher site
See Article on Publisher Site

Abstract

Fuzzy Information and Engineering 7 (2015) 211–225 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). http://dx.doi.org/10.1016/j.fiae.2015.05.006

Journal

Fuzzy Information and EngineeringTaylor & Francis

Published: Jun 1, 2015

Keywords: Multiple attribute decision making; Grey number; R&D project portfolio selection; Project interdependency; Grey possibility degree

References