文献类型：期刊文献

英文题名：Application of Fuzzy Analytic Hierarchy Process to Discuss the User’s Favor of Electric Bicycle Modeling

作者：Wang, Tianxiong[1]; Zhou, Meiyu[1]; Wang, Zhengyu[1]

机构：[1] School of Art Design and Media, East China University of Science and Technology, No. 130, Meilong Road, Xuhui District, Shanghai, 200237, China

年份：2019

卷号：1032

起止页码：103

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20193107243941)

语种：英文

外文关键词：Analytic hierarchy process - Electric vehicles - Petroleum transportation - Semantics - Bicycles - Pollution - Energy conservation

摘要：As a means of transportation, electric bicycle have characteristics of low pollution, low noise, energy saving and so on. In recent years, in addition to the increasing environmental awareness and the rising oil prices, the country has begun to pay attention to the problem of environmental pollution caused by transportation, so it is important to develop and promote electric bicycle design actively. At the same time, electric bicycles enable users to improve travel efficiency, and they are also fast and convenient to use. Therefore, the production get the favor of consumers, and the research enterprises of electric bicycles will also increase. However, in the design process of electric bicycles, most designers rely on the rich experience level of the research to explore the design schemes and criteria of electric bicycles, and lack the rational exploration of the electric bicycle design factors from the understanding of users. This study will combine the analytic hierarchy process and fuzzy theory to propose a fuzzy hierarchical analysis method, in order to study the user’s preference for electric bicycles more accurately, and thus explore user’s specific emotional demand factors of electric bicycle. Accordingly, the evaluation value is defined according to the fuzzy semantics and the questionnaire data is established into a paired matrix. The research method and results put forward the product development strategy of electric bicycle, which provides a solution to design electric bicycles that meet the needs of users. ? Springer Nature Switzerland AG 2019.