A MCDM Method with Linguistic Variables and Intuitionistic Fuzzy Numbers to Evaluate Product Development Projects
- DOI
- 10.2991/ijcis.d.210222.003How to use a DOI?
- Keywords
- Product development projects (PDP); Linguistic variable; Intuitionistic fuzzy number; Multiple criteria decision-making (MCDM)
- Abstract
The high-tech consumer goods market is a rapidly changing environment. Project evaluation and selection play important roles in an organization to increase its competitive advantages successfully. When handling new product project decision problems, it is important to collect information to make the right decision at the initial stage of product development. Past research found that managers usually only evaluate product development projects (PDP) based on a company's own resources. However, competitors can generate similar products to compete in the market. In this way, the process of PDP evaluation and selection should consider internal and external factors. In other words, it is a multiple-criteria decision-making (MCDM) problem. In addition, uncertainty and complex project evaluations are usually involved in dealing with MCDM problems. Therefore, we propose a new MCDM method by combining linguistic variables with intuitionistic fuzzy numbers (IFNs) to analyze the performance of PDPs. The proposed method is then implemented to evaluate a new kind of smartphone in order to fit with 5th generation mobile networks (5G). Finally, the conclusions and future research direction are discussed.
- Copyright
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Chen-Tung Chen AU - Wei-Zhan Hung PY - 2021 DA - 2021/03/03 TI - A MCDM Method with Linguistic Variables and Intuitionistic Fuzzy Numbers to Evaluate Product Development Projects JO - International Journal of Computational Intelligence Systems SP - 935 EP - 945 VL - 14 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.210222.003 DO - 10.2991/ijcis.d.210222.003 ID - Chen2021 ER -