Paper Title:
Research on Multi-Affective Fuzzy Computing and Product Competitive Advantage of Online Product Reviews
  Abstract

The study focused on online product reviews, and took the consumer multi-affective analysis as a main line. Through the establishment of the classification system of consumer multi-affective expression and based on the ambiguous language qualifier operators in fuzzy theory, a multi-affective fuzzy computing algorithm of online product reviews (MFCA-OPR) is introduced. Based on the algorithm, through satisfaction and concerned about the degree of product attribute calculation of customers, the “quadrifid graph model” is applied to product competitive superiority and verified the validity of the calculation methods.

  Info
Periodical
Edited by
Wenya Tian and Linli Xu
Pages
464-468
DOI
10.4028/www.scientific.net/AMR.186.464
Citation
N. Zhao, Y. Li, "Research on Multi-Affective Fuzzy Computing and Product Competitive Advantage of Online Product Reviews", Advanced Materials Research, Vol. 186, pp. 464-468, 2011
Online since
January 2011
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