Jung-Chin Liang

The Study of Product Structure Integrates Kansei Design Evaluation Identification on Creation of New Products

Integrates of product structure design and kansei design, this Is the product ”inner beauty and outer beauty, the united design, this way can make a complete quality of new product design, fulfill the psychological needs of consumers, Is also a good way to promote product sales. This paper from new product design analysis of the kansei words, can promote the product structure evaluation of the kansei components, and combine the importance and the order of the kansei words of the product structure. This research picked up the people who had the product design experiences from different enterprises, and the standard of the evaluation is AHP (Analytical Hierarchy Process), the GRA (Grey Structural Modeling) was also used to analyze the importance and order of the perceptual words. Plus, GSM (Grey Structural Modeling) was used to explain the results of the research, and available to the application on references of new product design.

The Study of Imperfection in Rough Set on the Field of Engineering and Education

Based on the characteristic of rough set, rough set theory overlaps with many other theories, especially with fuzzy set theory, evidence theory and Boolean reasoning methods. And the rough set methodology has found many real-life applications, such as medical data analysis, finance, banking, engineering, voice recognition, image processing and others. Till now, there is rare research associating to this issue in the imperfection of rough set. Hence, the main purpose of this paper is to study the imperfection of rough set in the field of engineering and education. First of all, we preview the mathematics model of rough set, and a given two examples to enhance our approach, which one is the weighting of influence factor in muzzle noise suppressor, and the other is the weighting of evaluation factor in English learning. Third, we also apply Matlab to develop a complete human-machine interface type of toolbox in order to support the complex calculation and verification the huge data. Finally, some further suggestions are indicated for the research in the future.

Appling GM(0,N) in the user's cognition of design research - An example in smart phone holster

The purpose of the study is to investigate the preference cognition of smartphone leather cases in Taiwan, and provide reference for further product design, and then promote the marketing function. In the analyzing process, we ignore the occupation of the examinees; instead, we classify the examinees into three groups according to their age and gender. The three groups are mature, middle-aged and youth. We propose the representative samples and analyze their preference based on the shape, structure, color, texture, materials, convenience, usability, quality, value, and the protective effect. The study aims to understand the preferences of smartphone leather case in different groups, and provide correct reference for further design. First, apply GM (h, N) model to analyze the weighting of influencing factors and their order structure. Second, analyze the influencing factors among the three groups. Then, the results can become a systematic application reference model to solve the uncertain issues of new product design and to provide the values of future product design application.

Apply the optimal design of assessment performed on bike lamp

This paper from the design vocabulary to the screening of bike lamp, this research includes the experience of experts for the optimal design of assessment and its design reference applying for teaching of the product design. First of all, experts use 5W1H and GRA (Grey Relational Analysis) to analyze the design vocabulary of the assessment. Moreover, make the importance of optimal design factor of the bike lamp in order. Furthermore, analysis the optimal relation diagram for producing the bike lamp and build its Grey Structure Model (GSM) for application.