Abstract
The authors recently presented a technique (denominated “ZM”) to fuse multiple (subjective) preference rankings of some objects of interest—in manufacturing applications—into a common unidimensional ratio scale Franceschini and Maisano J Intell Manuf, 2019. Although this technique can be applied to a variety of decision-making problems in the manufacturing field, it is limited by a response mode requiring the formulation of complete preference rankings, i.e., rankings that include all objects. Unfortunately, this model is unsuitable for some practical contexts—such as decision-making problems characterized by a relatively large number of objects and field surveys—where respondents can barely identify the more/less preferred objects, without realistically being able to construct complete preference rankings. The purpose of this paper is to develop a new technique (denominated “ZMII”) which also “tolerates” incomplete preference rankings, e.g., rankings with the more/less preferred objects only. This technique borrows the underlying postulates from the Thurstone’s Law of Comparative Judgment and uses the Generalized Least Squares method to obtain a ratio scaling of the objects of interest, with a relevant uncertainty estimation. Preliminary results show the effectiveness of the new technique even for relatively incomplete preference rankings. Description is supported by an application example concerning the design of a coach-bus seat.
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Acknowledgments
This research was partially supported by the award “TESUN-83486178370409 finanziamento dipartimenti di eccellenza CAP. 1694 TIT. 232 ART. 6,” which was conferred by “Ministero dell’Istruzione, dell’Università e della Ricerca.”
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Franceschini, F., Maisano, D. Fusing incomplete preference rankings in design for manufacturing applications through the ZM II -technique . Int J Adv Manuf Technol 103, 3307–3322 (2019). https://doi.org/10.1007/s00170-019-03675-5
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DOI: https://doi.org/10.1007/s00170-019-03675-5