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.

• Periodical: Advanced Materials Research (Volume 186)
• Pages: 464-468
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.186.464
• Online since: January 2011
• Authors: Narisa Zhao, Yuan Li
• Keywords: Affective Lexis Fuzzy Ontology, Customer Satisfaction, Fuzzy Computing, Online Product Reviews, Quadrifid Graph

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