A Fuzzy Multi-Criteria Evaluation Approach for R&D Project Selection

Author

Yi, Changsheng ; Ning, Yufu ; Jin, Qiumei

Author_Institution

Manage. Sch., Hangzhou Dianzi Univ., Hangzhou

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

The research and development (R&D) project selection is concerned with how to evaluate and identify the best subset of projects under some resource constraints. This paper discusses a fuzzy multi-criteria evaluation approach for R&D project selection which uses algebraic operations of fuzzy variables to characterize the strength and weakness of each R&D alternatives. Furthermore, the fuzzy performance indexes can be obtained by aggregating the criteria weights and fuzzy ratings of alternatives. Finally, the expected values of fuzzy performance indexes are estimated through fuzzy simulation to rank these R&D alternatives. To illustrate the effectiveness of this method, a case study is presented to evaluate the competing software development projects.

Keywords

algebra; fuzzy set theory; research and development; R&D project selection; algebraic operations; fuzzy multicriteria evaluation approach; fuzzy performance; research and development project; Fuzzy control; Mathematical model; Mathematical programming; Performance analysis; Portfolios; Project management; Research and development; Research and development management; Resource management; Risk analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.1787

Filename

4679976