An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness

摘要: Affective product design aims at incorporating customers’ affective needs into variables of a new so as to optimise satisfaction. Faced with fierce competition in marketplaces, companies try determine the settings order maximise satisfaction products. To achieve this, set customer survey data is required develop model which relates responses product. Customer are usually fuzzy since human feeling fuzzy, and relationship between nonlinear. However, previous research on modelling response has not addressed development explicit models involving either nonlinearity or fuzziness. In this paper, an intelligent regression approach proposed generate represent nonlinear variables. do we extend existing work by first utilising evolutionary algorithm construct branches tree representing structures where can be addressed. The then used coefficients model. thus developed explicit, consist terms relate A case study mobile phones illustrate method.