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دسته بندی:
داده کاوی - data mining
سال انتشار:
2019
عنوان انگلیسی مقاله:
A large-group emergency risk decision method based on data mining of public attribute preferences
ترجمه فارسی عنوان مقاله:
یک روش تصمیم گیری ریسک اضطراری گروهی-بزرگ مبتنی بر داده کاوی تنظیمات ویژگی های عمومی
منبع:
Sciencedirect - Elsevier - Knowledge-Based Systems, 163 (2019) 495-509: doi:10:1016/j:knosys:2018:09:010
نویسنده:
Xuanhua Xu, Xuanpeng Yin ∗, Xiaohong Chen
چکیده انگلیسی:
Aiming at the lack of public concern about the attributes of large-group emergency decision making in major
emergencies, a large-group emergency risk decision method based on data mining of public attribute
preferences is proposed. First, according to historical data from a similar emergency, an attribute-keyword
lexicon is established using text mining and latent semantic analysis. Meanwhile, fuzzy association rule
mining and a fuzzy cognitive graph are applied to obtain information regarding public opinion about
the attributes. Then, a risk measurement model of degree indicators based on information entropy is
presented, and according to the linguistic preference for information given by large-group members, the
decision risk of large-group members is measured. On this basis, a group member clustering algorithm is
constructed to cluster large groups, and then the best alternative is acquired by comparing score function
and precise function of the interval intuitionistic fuzzy number. Finally, a case application using historical
data is conducted to verify the method’s rationality and feasibility.
Keywords: Large-group | Preferences data mining | Risk measure | Emergency risk decision
قیمت: رایگان
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