A Heuristics R and D Projects Portfolio Selection Decision System Based on Data Mining and Fuzzy Logic

Author

Danmei, Zhu ; Xingtong, Wang ; Rongrong, Ren

Author_Institution

Liaoning Univ. of Pet. & Chem. Technol., Fushun, China

Volume

1

fYear

2010

fDate

11-12 May 2010

Firstpage

118

Lastpage

121

Abstract

Since Research and Development (R&D) projects portfolio decision deals with future events and opportunities, much of the information required making portfolio decisions is at best uncertain and at worst very unreliable. R&D projects are sometimes hard to be evaluated and selected. In this paper, a R&D projects portfolio selection decision system has been proposed based on data mining and fuzzy logic, in which we introduce a data mining subsystem to insure promising projects will be chosen and then we construct a fuzzy evaluation function by considering fuzzy expanded net present value of each project. Through this decision system, we can gain a projects portfolio with good market potential and optimal expanded net present value (NPV), which satisfies the resource constraints, cost constraints and time limit.

Keywords

data mining; decision making; fuzzy logic; research and development management; statistical analysis; R and D projects portfolio selection decision system; cost constraints; data mining subsystem; decision system; fuzzy evaluation; fuzzy logic; net present value; resource constraints; Chemical technology; Data analysis; Data mining; Fuzzy logic; Fuzzy systems; Mathematical model; Petroleum; Portfolios; Project management; Research and development; Data Mining; Fuzzy Expanded NPV; Fuzzy Logic; R&D Projects Portfolio Selection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.257

Filename

5522462