Evaluating new product development performance by fuzzy linguistic computing |
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| Authors: | Wen-Pai Wang |
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| Affiliation: | 1. Dept. of Gastroenterology & Clinical Nutrition, Royal Children''s Hospital, Melbourne, Australia;2. Dept. of Paediatrics, University of Melbourne, Melbourne, Australia;3. Murdoch Childrens Research Institute, Melbourne, Australia;1. Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan;2. School of Medicine, National Yang-Ming University, Taipei, Taiwan;3. Division of Thoracic Surgery, Department of Surgery, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan;4. Division of Thoracic Surgery, Department of Surgery, Makay Memorial Hospital, Taipei, Taiwan;5. Division of Thoracic Surgery, Department of Surgery, Changhua Christian Hospital, Taichung, Taiwan;6. Division of Thoracic Surgery, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan;7. Division of Thoracic Surgery, Department of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan;1. College of Basic Science, Tianjin Agricultural University, Tianjin 300384, China;2. College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China;3. School of Business, Ningbo University, Ningbo 315211, China;4. Department of Basic Courses, Tianjin Sino-German University of Applied Sciences, Haihe Education Park, Include country, Tianjin 300350, China |
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| Abstract: | New product development (NPD) is indeed the cornerstone for companies to maintain and enhance the competitive edge. However, developing new products is a complex and risky decision-making process. It involves a search of the environment for opportunities, the generation of project options, and the evaluation by different experts of multiple attributes, both qualitative and quantitative. To perceive and to measure effectively the capability of NPD are real challenging tasks for business managers. This paper presents a 2-tuple fuzzy linguistic computing approach to deal with heterogeneous information and information loss problems during the processes of subjective evaluation integration. The proposed method which is based on the group decision-making scenario to assist business managers to measure the performance of NPD manipulates the heterogeneous integration processes and avoids the information loss effectively. Finally, its feasibility is demonstrated by the result of NPD performance evaluation for a high-technology company in Taiwan. |
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