Abstract
In order to reflect the complexity of logistics systems under the environment of mass customization(MC) in an effective way,a group linguistic information-based approach of evaluating logistics systems is proposed.In this approach,firstly,decision-makers used linguistic variables to express their preference values of the logistics system alternatives,and a transformation function was proposed to change the variables into triangular fuzzy numbers.Secondly,a generalized induced ordered weighted operator was introduced to integrate the given preference values with the weights of key attributes and the ones of decision-makers,and then the comprehensive values of each alternative were obtained.Finally,the most suitable alternative could be chosen based on the priorities of comprehensive values.A computer company was cited to demonstrate the feasibility and availability of the proposed approach.
Published Version
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