A Multi-granular Fuzzy Comprehensive Evaluation Model for E-commerce Enterprise Image

Abstract

The enterprise image is the general impression that the public gets in association with an enterprise directly. In the imformation age, the emergency of e-commerce provides a new way for the construction of enterprise image by the help of network technology. However, because of its abstraction, intangiblity, and complexity, it is become diffcult to get to know the enterprise image all-round. In order to find out the disadvantages and make the enterprise image more specific, this article provided a new model, a multi-granular fuzzy comprehensive evaluation model (MFCEM). Firstly, we bulit a new evaluation index system about e-commerce enterprise image. Then, a multi-granular fuzzy comprehensive evaluation method is designed based on the theory of granular computing, which has more flexible evaluation process. Finally, we put the model into application. From the result, the MFCEM has been proved to be effective on the evaluation of e-commerce enterprise image.

The Establishment of Green Industry Evaluation Index System Based on Dynamic Clustering—an Empirical Study from Dalian in China

“…Take green industry connotation [11] and domestic and international authoritative institutions classic view of the high frequency indicator [1][2][3][4][5][6][7] as the focal point, combined with literature review [8][9][10] and make the mass-election of the indicators, to choose the index system involving 75 indicators from three criterion layer of green industry, green consumption and green environment. To delete the mass-election indicators which can't be obtained from the data to ensure the quantization of the indicator system preliminarily screened.…”

“…Let v ij denotes the indicator data of the i th indicator and the j th year. Let n denotes the number of years [8].…”

“…(2) The standardization of negative indicator The smaller of the negtive indicator value, the better the green industry develops [8]…”

“…(1) The standard of judging the reasonability of established index system If the established index system can reflect more than 95% original information by using less than 30% indicators, the screened index system is reasonable [8].…”

“…The third one is present situation of evaluation indicators systems by sorting academic literatures. Qi [8]built a new evaluation index system about e-commerce enterprise image. Li [9] construct the power supply enterprise external service quality evaluation index system.…”