Title | ||
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A methodology to generate a belief rule base for customer perception risk analysis in new product development |
Abstract | ||
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New product development (NPD) is crucial for a company's success in a competitive market. Meanwhile, NPD is a process associated with great complexity and high risk. To ensure its smooth operation, risks involved in an NPD process need to be analyzed in a proper way. In this paper, a novel method is proposed to generate a belief rule base (BRB), which is the basis of the Belief Rule-Base Inference Methodology using the Evidential Reasoning (RIMER). Due to its capability in dealing with complex reasoning problems under uncertainty, RIMER is then applied to assess customer perception risk (CPR) in an NPD process. To test and validate the method proposed in this paper, a case study of an ''Interactive Doll'' is conducted at the end of the paper. |
Year | DOI | Venue |
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2011 | 10.1016/j.eswa.2010.10.018 | Expert Syst. Appl. |
Keywords | Field | DocType |
risk analysis,customer perception risk,high risk,belief rule-base inference methodology,case study,competitive market,evidential reasoning,novel method,new product development,belief rule base,npd process,belief rule base generation,interactive doll,customer perception risk analysis,operational risk,rule based | Customer perception,Data mining,Inference,Computer science,Risk analysis (business),Perfect competition,Evidential reasoning approach,New product development | Journal |
Volume | Issue | ISSN |
38 | 5 | Expert Systems With Applications |
Citations | PageRank | References |
16 | 0.59 | 11 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dawei Tang | 1 | 156 | 6.95 |
Jian-Bo Yang | 2 | 3832 | 203.05 |
Kwai-Sang Chin | 3 | 1033 | 54.69 |
Zoie S. Y. Wong | 4 | 16 | 0.59 |
Xin-Bao Liu | 5 | 254 | 26.14 |