A fast method of ranking alternatives using fuzzy numbers
Fuzzy Sets and Systems
Heuristics for product-line design using conjoint analysis
Management Science
Genetic algorithms for product design
Management Science
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
A new approach to fuzzy regression models with application to business cycle analysis
Fuzzy Sets and Systems
An evolutionary algorithm approach to the share of choices problem in the product line design
Computers and Operations Research
Development of hybrid genetic algorithms for product line designs
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to competitive product line design using conjoint data
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Enterprises evaluate customers' preferences of high-tech products to appropriately adjust product lines when the technologies are ready for commercialization. Conjoint analysis (CA) is usually applied to measure customers' preferences while the product line design model (PLDM) is used to simulate customers' purchase decisions based on these preferences. The optimal product line extension scheme (PLES) can then be found. For customers unfamiliar with a new technology, it is difficult to precisely appraise preferences for new products. This paper proposes fuzzy PLDM that combines fuzzy theory with CA to take preference uncertainty into consideration. To precisely apply fuzzy preferences, fuzzy rating is used to simulate customers' purchase decisions. This paper focuses on the notebook industry in Taiwan. Optimal PLES are obtained under Fuzzy and Crisp scenarios. The results show that customers with high preference uncertainty have different purchase decisions under above scenarios, which leads to a great inconsistency between the optimal PLES obtained from Fuzzy and Crisp scenarios. The Fuzzy scenario takes preference uncertainty into consideration and uses stricter standards to judge whether customers buy products with new technology.