Key Laboratory of Industrial Design and Ergonomics, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an 710072, China.
TUT School of Art & Design, Tianjin University of Technology, Tianjin 300384, China.
Comput Intell Neurosci. 2021 Nov 10;2021:6992648. doi: 10.1155/2021/6992648. eCollection 2021.
With interdisciplinarity being an important characteristic of contemporary product design, the evaluation of design alternatives also involves multiple disciplines, and the evaluator group usually consists of evaluators from different fields and with obvious heterogeneous characteristics. To effectively satisfy the heterogeneous needs of evaluators and improve the credibility of evaluation results, the paper introduces a consensus-reaching approach that incorporates multiple preferences to the evaluation of product design alternatives. First, in order to obtain individual preference information, each evaluator is asked to evaluate all the design alternatives using a preference structure that he/she is familiar with. Second, we use a transfer function to uniform the evaluation information obtained from various preference structures into a complementary judgment matrix. Then, we use the Hybrid Weighted Averaging (HWA) operator weight determination model to aggregate the preference information and obtain the group preference information. Then, we measure the consensus degree between individual evaluators and the group using a consensus measurement method. After that, we use the feedback mechanism to instruct individual evaluators to modify their preferences until a consensus is achieved. We explain the application steps and the feasibility of this approach through the evaluation of the design alternatives of multichannel fluorescence immunochromatography analyzers (MFIAs).
由于跨学科性是当代产品设计的一个重要特征，因此设计方案的评价也涉及多个学科，评价人员通常由来自不同领域且具有明显异质特征的评价人员组成。为了有效满足评价人员的异质需求并提高评价结果的可信度，本文提出了一种共识达成方法，将多种偏好纳入产品设计方案的评价中。首先，为了获取个体偏好信息，要求每位评价人员使用其熟悉的偏好结构对所有设计方案进行评价。其次，我们使用传递函数将从各种偏好结构中获得的评价信息统一为互补判断矩阵。然后，我们使用混合加权平均（HWA）算子权重确定模型聚合偏好信息，并获得群体偏好信息。接下来，我们使用一致性度量方法来度量个体评价人员与群体之间的一致性程度。然后，我们使用反馈机制指导个体评价人员修改其偏好，直到达成一致。我们通过多通道荧光免疫层析分析仪（MFIAs）设计方案的评价来解释该方法的应用步骤和可行性。
