International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 10, No. 9, 8 Sep. 2018
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Intuitionistic Fuzzy Weighted Sum and Product Method for Electronic Service Quality Selection Problem
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Author(s)
Index Terms
Entropy measure, Divergence measure, WSM, WPM, TOPSIS, Electronic service quality
Abstract
The increasing growth of internet and e-commerce had bartered the customer’s purchasing feature and service providers’ service policies. Moreover, there is no other criterion for quality of service (QoS) on the online network. Here the paper’s objective is to employ the importance of QoS to measure the utility quality of monetary enterprise on internet (e.g., Facebook (FB)). In this paper, the Weighted Sum method and Weighted Product method (WSM and WPM) are implemented using FB for their promotion and advertisement and then utilized the intuitionistic fuzzy value for the measuring of the QoS. The proposed methods are generally based on IF-aggregation operators and criterion weights. To calculate criterion weight, new intuitionistic fuzzy divergence is developed. Additionally, the IF-TOPSIS (technique for order preference by similarity to ideal) algorithm is also applied to check the validity of the result. This research examine not only the dimensions of QoS that users on FB liked and major brands are ‘preferred by’ by them, and which results as the most highly ranked features.
Cite This Paper
Gaurisha Sisodia, Kapil Sharma, Shashikant Gupta, " Intuitionistic Fuzzy Weighted Sum and Product Method for Electronic Service Quality Selection Problem", International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.9, pp. 33-43, 2018. DOI:10.5815/ijmecs.2018.09.05
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