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Multiple Attributes Decision Fusion for Wireless Sensor Networks Based on Intuitionistic Fuzzy Set

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成果类型:
期刊论文
作者:
Zhang, Zhenjiang*;Hao, Ziqi;Zeadally, Sherali;Zhang, Jing;Han, Bowen;...
通讯作者:
Zhang, Zhenjiang
作者机构:
[Zhang, Zhenjiang] Beijing Jiaotong Univ, Sch Software Engn, Beijing 100044, Peoples R China.
[Zhang, Zhenjiang] CETC Key Lab Aerosp Informat Applicat, Shijiazhuang 050081, Hebei, Peoples R China.
[Han, Bowen; Hao, Ziqi] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China.
[Zeadally, Sherali] Univ Kentucky, Lexington, KY 40506 USA.
[Zhang, Jing] 54th Res Inst CETC, Shijiazhuang 050081, Hebei, Peoples R China.
通讯机构:
[Zhang, Zhenjiang] B
[Zhang, Zhenjiang] C
Beijing Jiaotong Univ, Sch Software Engn, Beijing 100044, Peoples R China.
CETC Key Lab Aerosp Informat Applicat, Shijiazhuang 050081, Hebei, Peoples R China.
语种:
英文
关键词:
Algorithm;intuitionistic fuzzy set;multi-attribute decision fusion;wireless sensor network
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2017
卷:
5
页码:
12798-12809
基金类别:
This work was supported by the National Natural Science Foundation of China under Grant 61271308 and Grant 61401015.
机构署名:
本校为其他机构
院系归属:
数学与计算机学院
摘要:
Decision fusion is an important issue in wireless sensor networks (WSN), and intuitionistic fuzzy set (IFS) is a novel method for dealing with uncertain data. We propose a multi-attribute decision fusion model based on IFS, which includes two aspects: data distribution-based IFS construction algorithm (DDBIFCA) and the category similarity weight-based TOPSIS intuitionistic fuzzy decision algorithm (CSWBT-IFS). The DDBIFCA is an IFS construction algorithm that transforms the original attribute values into intuitionistic fuzzy measures, and theCS...

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