| Summary: | 碩士 === 龍華科技大學 === 資訊管理系碩士班 === 105 === With the change of the times, the company's enterprise has accumulated data, but found that the data behind the hidden information is gradually being taken seriously, so in this era, the use of web crawlers (Web crawler) technology to analyze the data On the other hand, there are many companies began to focus on environmental issues, and to join the concept of green, community networks have also started to discuss the issue on the green environment, the gradual green concept Has been paid attention to, which makes the company's decision-making or construction in the gradual emphasis on green supplier indicators; this study will be carried out in the LCD environment, previously by scholars through the study of green suppliers to select the calculation of indicators to define experts Weight, so this study will attempt to capture one of the community sites Twitter of Tweet and Google search as a data, using the definition of the green supplier expert indicators, through the API provided by Twitter And Google advanced search to access these indicators the number of occurrences, combined with the study of large data analysis The fuzzy weighted average is used to define the large data weight of the new green supplier index, and the existing expert weights are analyzed and discussed. We want to know the original green supplier expert weight and data Analysis of the large data between the weight of the changes between the two, but also that experts pointed out that the indicators in the social network and search engine differences, so that the green supplier index weight can be closer to people to discuss and search for the heat So that the decision of the green supplier can be changed with the amount of the index.
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