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An intelligent pre-estimation method of design time for complex products based on v-SVM
Kybernetes ( IF 2.5 ) Pub Date : 2020-03-06 , DOI: 10.1108/k-07-2019-0507
Yujie Zheng , Meiyan Li

Purpose

Improving the prediction accuracy of design time for complex products is significant for improving the accuracy of product development and control plans. The purpose of this study is to propose an intelligent pre-estimation method of design time for complex products based on v-SVM.

Design/methodology/approach

First, an evaluation model for designer knowledge abilities based on v-SVM is built, which considers the fuzziness and dynamics of designer knowledge abilities. Next, a pre-estimation method for the design time of complex products based on v-SVM is built. This method takes into account the impacts of designer knowledge abilities and design task characteristics on the design time. Then, an adaptive genetic algorithm is programmed to optimize the parameters in the evaluation model and the pre-estimation method. Finally, a practical application and comparative analysis of the proposed pre-estimation method is suggested to verify the validity and applicability of this research.

Findings

First, the evaluation of designer knowledge abilities is a prediction problem that is both fuzzy and multivariate time series. Second, the pre-estimation of design time is a problem that is fuzzy and multivariate. Third, the pre-estimation accuracy of the proposed method is higher when compared with traditional methods.

Originality/value

This paper presents an intelligent pre-estimation method of design time for complex products. Unlike previous research, the pre-estimation method takes into account the impacts of both the designer knowledge abilities and the design task characteristics on the design time.



中文翻译:

基于v-SVM的复杂产品设计时间智能预测方法

目的

提高复杂产品设计时间的预测准确性对于提高产品开发和控制计划的准确性具有重要意义。这项研究的目的是提出一种基于v-SVM的复杂产品设计时间的智能预估方法。

设计/方法/方法

首先,建立了基于v-SVM的设计师知识能力评价模型,该模型考虑了设计师知识能力的模糊性和动态性。接下来,建立了基于v-SVM的复杂产品设计时间的预估方法。该方法考虑了设计师知识能力和设计任务特征对设计时间的影响。然后,对自适应遗传算法进行编程,以优化评估模型和预评估方法中的参数。最后,对所提出的预估计方法进行了实际应用和比较分析,以验证该研究的有效性和适用性。

发现

首先,对设计师知识能力的评估是一个预测问题,既是模糊时间序列,又是多元时间序列。其次,设计时间的预先估计是一个模糊且多变量的问题。第三,与传统方法相比,该方法的预测精度更高。

创意/价值

本文提出了一种复杂产品设计时间的智能预测方法。与先前的研究不同,预估计方法考虑了设计师知识能力和设计任务特征对设计时间的影响。

更新日期:2020-03-06
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