Abstract
A MCDM Method with Linguistic Variables and Intuitionistic Fuzzy Numbers to Evaluate Product Development Projects
Highlights
Project evaluation and selection play an important role in an organization to successfully increase its competitive advantages
In order to evaluate and select the right project to develop a new product, this paper used linguistic variables and intuitionistic fuzzy numbers (IFNs) to express the opinions of experts and reduce the fuzziness in the decision-making process
Traditional TOPSIS can analyze product development projects (PDP) according to expert opinions that are expressed by linguistic variables [38]
Summary
Project evaluation and selection play an important role in an organization to successfully increase its competitive advantages. It is difficult to generate or acquire heterogeneous resources for each enterprise in a competitive market. In this way, enterprises can develop novel products that are similar to other enterprises because the products are imitated by other enterprises. Enterprise should predict the profitability of a product carefully by considering the imitation of other competitors. The novel product will have large sales numbers because other competitors have not generated a similar product. The profit of the new product will decrease because other competitors have developed similar products. New products will have been developed by competitors and the enterprise should consider to stop manufacturing the original product (Figure 1)
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