Uncertain Network Public Sentiment Emergency Decision Model Based on Grey Relational Degree

ABSTRACT

This paper presents a novel warning decision model for uncertain network public sentiment emergency of which index assessments are provided as uncertain values. First, a weighted grey relational formula is proposed to compute the comprehensive grey relational degree between the unknown network public sentiment emergency and each original emergency case. According to the evaluated grey relation degree of all the candidate cases, we can easily rank all the matched cases and get the most optimal source case. Also the related emergency section may use or modify the corresponding decision solution of the most matched historical case to facilitate the urgent decisionmaking of current network public sentiment emergency with incomplete information.

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