Research on Multi-Affective Fuzzy Computing and Product Competitive Advantage of Online Product Reviews

Abstract:

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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 and 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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$35.00

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