Kansei Engineering was regarded as a technology to "translate a customer's feeling of the product to the design elements." In this study an interactive system was constructed on the base of Kansei Engineering to support clothing design process. As a core content and foundation, knowledge base is developed by varied methods such as Kansei engineering method and analytic hierarchy process. When t...

Consumers’ emotional requirements, or so-called Kansei needs, have become one of the most important concerns in designing a product. Conventionally, Kansei engineering has been widely used to co-relate these requirements with product parameters. However, a typical Kansei engineering approach relies heavily on the intuition of the person who uses the method in clustering the Kansei adjectives, w...

An improved fuzzy c-means algorithm is put forward and applied to deal with meteorological data on top of the traditional fuzzy c-means algorithm. The proposed algorithm improves the classical fuzzy c-means algorithm (FCM) by adopting a novel strategy for selecting the initial cluster centers, to solve the problem that the traditional fuzzy c-means (FCM) clustering algorithm has difficulty in s...

Clustering and classification are two important techniques of data mining. Classification is a supervised learning problem of assigning an object to one of several pre-defined categories based upon the attributes of the object. While, clustering is an unsupervised learning problem that group objects based upon distance or similarity. Each group is known as a cluster. In this paper we make use o...

Heart disease is a major cause of morbidity and mortality in the modern society. Almost 60% of the world population fall victim to the heart disease. Although significant progress has been made in the diagnosis and treatment of coronary heart disease, further investigation is still needed. Data mining, as a solution to extract hidden pattern from the clinical dataset are applied to a database i...

The “Universidad Politécnica de Aguascalientes” is an institution who’s interested in quality education, ensuring the control of the subjects that are imparted in a long term in the mayor. Taking this on account, the design and development of a Moodle platform focused on data mining was planted, this subject is currently given to ninth quarter students. In order to re-inforce the knowledge that...

This paper introduces SwissAnalyst, a complete Data Mining environment powered by Weka. SwissAnalyst was developed as an intuitive process layer, which offers all necessary features to place it on par, in terms of functionality, with most major commercial Data Mining software packages. As GNU GPL software, SwissAnalyst offers a license-free platform to develop both proofs of concept for potenti...

Kansei engineering or ‘affective engineering’ is the key of product development methodology by translating customer’s psychological feeling and demands on this product into product’s design parameters. This process allows you to design with the customer’s responses such as feelings and emotions in order to guarantee that your product or service will evoke desirable customer’s emotional response...