Title :
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
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;
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
DOI :
10.1109/ICICTA.2010.257
