A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information

المؤلفون المشاركون

Wang, B. J.
Wu, Z. J.
Zhang, Fangwei
Xu, Shihe

المصدر

Abstract and Applied Analysis

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-03-03

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

الرياضيات

الملخص EN

We propose a new method for the multiple attribute decision making problem.

In this problem, the decision making information assembles multiple source data.

Two main advantages of this proposed approach are that (i) it provides a data fusion technique, which can efficiently deal with the multisource decision making information; (ii) it can produce the degree of credibility of the entire decision making.

The proposed method performs very well especially for the scenario that there exists conflict among the multiple source information.

Finally, a traffic engineering example is given to illustrate the effect of our method.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhang, Fangwei& Xu, Shihe& Wang, B. J.& Wu, Z. J.. 2014. A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1034143

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhang, Fangwei…[et al.]. A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information. Abstract and Applied Analysis No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1034143

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhang, Fangwei& Xu, Shihe& Wang, B. J.& Wu, Z. J.. A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1034143

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1034143