Kansei knowledge extraction based on evolutionary genetic algorithm: an application to e-commerce web appearance design

Qing-Xing Qu

首页> 外文期刊>Theoretical Issues in Ergonomics Science >Kansei knowledge extraction based on evolutionary genetic algorithm: an application to e-commerce web appearance design

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Kansei knowledge extraction based on evolutionary genetic algorithm: an application to e-commerce web appearance design

机译：基于进化遗传算法的关西知识提取：在电子商务网站外观设计中的应用

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Considering the overall consumer preference based on Kansei engineering, this paperrnfocuses on optimising the appearance design of e-commerce web. In the beginning,rnwe have used iView X RED Eye Tracking Systems experimental apparatus producedrnby SensoMotoric Instruments in Germany to extract web design elements, and thenrnseveral representative webs are designed based on orthogonal test design, followingrnby surveys we have made. Furthermore, structural equation models are established inrnorder to obtain a single preference factor on the influence of e-commerce web design.rnFinally, based on the neural networks (NNs) and evolutionary genetic algorithmrnapproach, the global optimisation appearance design of the e-commerce web isrnfetched by simulation on computer, providing the effective suggestions for the ecommercernweb designer. This research paper presents a systematic approach thatrnconvert consumer’s Kansei knowledge into usable product multi-dimensional designrnvariables.

机译：考虑到基于Kansei工程的总体消费者偏好，本文着重于优化电子商务网站的外观设计。最初，我们使用德国SensoMotoric Instruments生产的iView X RED眼动追踪系统实验设备提取网页设计元素，然后根据我们进行的调查，在正交测试设计的基础上设计了几个代表性的网页。进而建立结构方程模型，以得到对电子商务网站设计影响的单个偏好因子。最后，基于神经网络和进化遗传算法，对电子商务网站进行全局优化外观设计通过计算机仿真获取，为电子商务网站设计者提供了有效的建议。本研究报告提出了一种系统的方法，可以将消费者的Kansei知识转换为可用的产品多维设计变量。

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《Theoretical Issues in Ergonomics Science》 |2015年第3期|299-313|共15页
作者
Qing-Xing Qu;
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作者单位

Department of Management Science and Engineering, School of Business Administration,Northeastern University, Shenyang 110819, P.R. China;

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原文格式 PDF
正文语种 eng
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关键词
Kansei engineering; web appearance design; structural equation model; rnneural networks; evolutionary genetic algorithm;

机译：关西工程网页外观设计;结构方程模型;神经网络;进化遗传算法;

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1. Consumers' Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms [J] . Yang Yan-pu, Chen Deng-kai, Gu Rong, Computational intelligence and neuroscience . 2016,第Pta3期

机译：基于数值设计结构矩阵和遗传算法的消费者KANSEI需要用于产品情绪设计的聚类方法
2. Multi-objective evolutionary design and knowledge discovery of logic circuits based on an adaptive genetic algorithm [J] . Shuguang Zhao, Licheng Jiao Genetic programming and evolvable machines . 2006,第3期

机译：基于自适应遗传算法的逻辑电路多目标进化设计与知识发现
3. Comparison of multi-objective evolutionary algorithms in hybrid Kansei engineering system for product form design [J] . Meng-Dar Shieh, Yongfeng Li, Chih-Chieh Yang Advanced engineering informatics . 2018,第APRa期

机译：产品形态设计的混合Kansei工程系统中多目标进化算法的比较
4. Grid-based knowledge-guided interactive genetic algorithm and its application to curtain design [C] . 2010 Second World Congress on Nature and Biologically Inspired Computing . 2010

机译：基于网格的知识指导交互式遗传算法及其在窗帘设计中的应用
5. Applications of Evolutionary Algorithms to Electromagnetic Materials Characterization and Design Problems. [D] . Frasch, Jonathan Lemoine. 2017

机译：进化算法在电磁材料表征和设计问题中的应用。
6. Consumers Kansei Needs Clustering Method for Product Emotional Design Based on Numerical Design Structure Matrix and Genetic Algorithms [O] . Yan-pu Yang, Deng-kai Chen, Rong Gu, 2016

机译：基于数值设计结构矩阵和遗传算法的消费者感性需求情感设计聚类方法
7. Validation of Kansei Engineering Adoption in E-commerce Web Design [O] . Anitawati Mohd LOKMAN, Mitsuo NAGAMACHI 2009

机译：电子商务网页设计中KANSEI工程采用验证

Kansei knowledge extraction based on evolutionary genetic algorithm: an application to e-commerce web appearance design

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