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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12336

Title: A proportional 3-tuple fuzzy linguistic screening evaluation model in new product development
Authors: Guo, Wen-Tao
Huynh, Van-Nam
Nakamori, Yoshiteru
Keywords: Proportional 3-tuple
Confidence levels
Decision making
Linguistic modeling
New product screening
Issue Date: 2013
Publisher: JAIST Press
Magazine name: Proceedings of The 14th International Symposium on Knowledge and Systems Sciences (KSS'2013)
Start page: 82
End page: 88
Abstract: It is particularly important for companies to screen new products before new products are launched to the markets. So far, lots of approaches have been excavated. However, due to uncertain, vague and incomplete information as well as dynamically complex process regarding to new product development (NPD), many approaches face with various limitations and restrictions, which lead to a dilemma that evaluators can't take into account the aspects related to human nature, such as confidence levels, integrity of subject judgments, to evaluate new products reasonably. In this paper, we propose a proportional 3-tuple fuzzy linguistic evaluation model for screening new products and related computation operator based on canonical characteristic values (CCV). It is shown that this new model has a good ability to reflect human nature through the probability and the variable repre-senting missing information. Thus, it not only can reflect the confidence levels of evaluators in the way of probability, but is also able to refract accuracy of subject judgment, whereby improving the precision and reasonability of final result.
Rights: Copyright (C) 2013 JAIST Press. Wen-Tao Guo, Van-Nam Huynh, Yoshiteru Nakamori, Proceedings of The 14th International Symposium on Knowledge and Systems Sciences (KSS'2013), 2013, 82-88.
URI: http://hdl.handle.net/10119/12336
Material Type: author
Appears in Collections:a11-1. 会議発表論文 (Conference Papers)

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