A heuristics R&D projects portfolio selection decision system based on data mining and fuzzy logic
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 portfofio with good market potential and optimal expanded net present value (NPV), which satisfies the resource constraints, cost constraints and time limit.
R&D Projects Portfolio Selection Data Mining Fuzzy Logic Fuzzy Expanded NPV
Zhu Danmei Wang Xingtong Ren rongrong
Liaoning University of Petroleum & Chemical Technology, Fushun, Liaoning, 113001, China Fushun Research Institute of Petroleum & Pechochemicals, Fushun, Liaoning, 113001, China Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 06600, China
国际会议
长沙
英文
118-121
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）