An intelligent decision support model for product design

Yang-Cheng Lin, Chun Chun Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper presents a consumer-oriented design approach to determining the optimal form design of character toys that optimal matches a given set of product images perceived by consumers. 179 representative character toys and seven design form elements of character toys are identified as samples in an experimental study to illustrate how the consumer-oriented design approach works. The consumer-oriented design approach is based on the process of Kansei Engineering using neural networks (NNs). Nine NN models are built with different momentum, learning rate, and hidden neurons in order to examine how a particular combination of form elements matches the desirable product images. The NN models can be used to construct a form design database for supporting form design decisions in a new character toy design. The result provides useful insights that help product designers best meet consumers' specific feelings and expectations.

Original languageEnglish
Title of host publicationIntelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011
Pages833-842
Number of pages10
DOIs
Publication statusPublished - 2011 Dec 1
Event3rd International Conference on Intelligent Decision Technologies, IDT'2011 - Piraeus, Greece
Duration: 2011 Jul 202011 Jul 22

Publication series

NameSmart Innovation, Systems and Technologies
Volume10 SIST
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other3rd International Conference on Intelligent Decision Technologies, IDT'2011
CountryGreece
CityPiraeus
Period11-07-2011-07-22

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

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