Fuzzy Case‐Based Reasoning in Product Style Acquisition Incorporating Valence‐Arousal‐Based Emotional Cellular Model
Fuqian Shi,
Jiang Xu and
Shouqian Sun
Journal of Applied Mathematics, 2012, vol. 2012, issue 1
Abstract:
Emotional cellular (EC), proposed in our previous works, is a kind of semantic cell that contains kernel and shell and the kernel is formalized by a triple‐ L = , where P denotes a typical set of positive examples relative to word‐L, d is a pseudodistance measure on emotional two‐dimensional space: valence‐arousal, and δ is a probability density function on positive real number field. The basic idea of EC model is to assume that the neighborhood radius of each semantic concept is uncertain, and this uncertainty will be measured by one‐dimensional density function δ. In this paper, product form features were evaluated by using ECs and to establish the product style database, fuzzy case based reasoning (FCBR) model under a defined similarity measurement based on fuzzy nearest neighbors (FNN) incorporating EC was applied to extract product styles. A mathematical formalized inference system for product style was also proposed, and it also includes uncertainty measurement tool emotional cellular. A case study of style acquisition of mobile phones illustrated the effectiveness of the proposed methodology.
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2012/385079
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2012:y:2012:i:1:n:385079
Access Statistics for this article
More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().