Insurance fraud identification research based on fuzzy support vector machine with dual membership

Tao Han; Zhixin Liu; Xiaodong Song

Insurance fraud identification research based on fuzzy support vector machine with dual membership

Tao Han^*
, Zhixin Liu
, Xiaodong Song

^*Corresponding author for this work

School of Economics and Management

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

Insurance frauds continue to emerge at home and abroad, the insurance company not only faced with the failure to identify fraud which lead to abuse lose a threat, but also bear the loss of recognizing true insurance claims as insurance fraud. For "overlap" problem in insurance fraud samples, this paper constructs the fuzzy support vector machine model with dual membership, which assigns each insurance fraud sample with dual membership by its relativity to the distance of the two types of sample mean vector. The dual membership can characterize the probability of each insurance fraud sample belonging to two categories. The empirical experiments indicate that the result of dual membership fuzzy support vector machine model is better than the existing insurance fraud recognition model.

Original language	English
Title of host publication	Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012
Pages	457-460
Number of pages	4
State	Published - 2012
Event	2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012 - Sanya, China Duration: 20 Oct 2012 → 21 Oct 2012

Publication series

Name	Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012
Volume	3

Conference

Conference	2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012
Country/Territory	China
City	Sanya
Period	20/10/12 → 21/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Dual membership
Fraud identification
Insurance fraud
Support vector machine

Cite this

Han, T., Liu, Z., & Song, X. (2012). Insurance fraud identification research based on fuzzy support vector machine with dual membership. In Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012 (pp. 457-460). (Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012; Vol. 3).

Han, Tao ; Liu, Zhixin ; Song, Xiaodong. / Insurance fraud identification research based on fuzzy support vector machine with dual membership. Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012. 2012. pp. 457-460 (Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012).

@inproceedings{efa01ad449254e118d577f3b56326895,

title = "Insurance fraud identification research based on fuzzy support vector machine with dual membership",

abstract = "Insurance frauds continue to emerge at home and abroad, the insurance company not only faced with the failure to identify fraud which lead to abuse lose a threat, but also bear the loss of recognizing true insurance claims as insurance fraud. For {"}overlap{"} problem in insurance fraud samples, this paper constructs the fuzzy support vector machine model with dual membership, which assigns each insurance fraud sample with dual membership by its relativity to the distance of the two types of sample mean vector. The dual membership can characterize the probability of each insurance fraud sample belonging to two categories. The empirical experiments indicate that the result of dual membership fuzzy support vector machine model is better than the existing insurance fraud recognition model.",

keywords = "Dual membership, Fraud identification, Insurance fraud, Support vector machine",

author = "Tao Han and Zhixin Liu and Xiaodong Song",

year = "2012",

language = "英语",

isbn = "9781467319324",

series = "Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012",

pages = "457--460",

booktitle = "Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012",

note = "2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012 ; Conference date: 20-10-2012 Through 21-10-2012",

}

Han, T, Liu, Z & Song, X 2012, Insurance fraud identification research based on fuzzy support vector machine with dual membership. in Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012. Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012, vol. 3, pp. 457-460, 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012, Sanya, China, 20/10/12.

Insurance fraud identification research based on fuzzy support vector machine with dual membership. / Han, Tao; Liu, Zhixin; Song, Xiaodong.
Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012. 2012. p. 457-460 (Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Insurance fraud identification research based on fuzzy support vector machine with dual membership

AU - Han, Tao

AU - Liu, Zhixin

AU - Song, Xiaodong

PY - 2012

Y1 - 2012

N2 - Insurance frauds continue to emerge at home and abroad, the insurance company not only faced with the failure to identify fraud which lead to abuse lose a threat, but also bear the loss of recognizing true insurance claims as insurance fraud. For "overlap" problem in insurance fraud samples, this paper constructs the fuzzy support vector machine model with dual membership, which assigns each insurance fraud sample with dual membership by its relativity to the distance of the two types of sample mean vector. The dual membership can characterize the probability of each insurance fraud sample belonging to two categories. The empirical experiments indicate that the result of dual membership fuzzy support vector machine model is better than the existing insurance fraud recognition model.

AB - Insurance frauds continue to emerge at home and abroad, the insurance company not only faced with the failure to identify fraud which lead to abuse lose a threat, but also bear the loss of recognizing true insurance claims as insurance fraud. For "overlap" problem in insurance fraud samples, this paper constructs the fuzzy support vector machine model with dual membership, which assigns each insurance fraud sample with dual membership by its relativity to the distance of the two types of sample mean vector. The dual membership can characterize the probability of each insurance fraud sample belonging to two categories. The empirical experiments indicate that the result of dual membership fuzzy support vector machine model is better than the existing insurance fraud recognition model.

KW - Dual membership

KW - Fraud identification

KW - Insurance fraud

KW - Support vector machine

UR - https://www.scopus.com/pages/publications/84870734647

M3 - 会议稿件

AN - SCOPUS:84870734647

SN - 9781467319324

T3 - Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012

SP - 457

EP - 460

BT - Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012

T2 - 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012

Y2 - 20 October 2012 through 21 October 2012

ER -

Han T, Liu Z, Song X. Insurance fraud identification research based on fuzzy support vector machine with dual membership. In Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012. 2012. p. 457-460. (Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012).

Insurance fraud identification research based on fuzzy support vector machine with dual membership

Abstract

Publication series

Conference

UN SDGs

Keywords

Other files and links

Fingerprint

Cite this