APPLYING MAHALANOBIS-TAGOUCHI SYSTEM IN DETECTION OF HIGH RISK CUSTOMERS -A CASE-BASED STUDY IN AN INSURANCE COMPANY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ABBASI SEYEDEH ELAHEH; AAGHAIE ABDOLLAH; FAZLALI MAHBOUBEH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Advances in Industrial Engineering Year:2011 | Volume:- | Issue:SUPPLEMENT Page(s): 1-12

Download Full-Text

Persian Verion

View:

874

Download:

213

Cites:

Information Journal Paper

Title

APPLYING MAHALANOBIS-TAGOUCHI SYSTEM IN DETECTION OF HIGH RISK CUSTOMERS -A CASE-BASED STUDY IN AN INSURANCE COMPANY

Author(s)

ABBASI SEYEDEH ELAHEH | AAGHAIE ABDOLLAH | FAZLALI MAHBOUBEH | Issue Writer Certificate

Keywords

MAHALANOBIS-TAGUCHI SYSTEMQ2

MAHALANOBIS DISTANCEQ2

VEHICLE INSURANCEQ2

HIGH-RISK CUSTOMERSQ2

NEURAL NETWORKSQ3

Abstract

The organizations use all appropriate tools to improve their service to the customers. The detection of especial customers and the forecast of their behavior undoubtedly can play an important role in improvement of service. In this paper, a new statistical method called the Mahalanobis Taguchi system has been used for this purpose. This method is used for the analysis of real data of an insurance company and five big cities in Iran are considered. There are seven initial factors which is important in the occurrence of accidents and losses. These factors are reduced to four. Customer’s behavior is analyzed case by case by the Mahalanobis-distance concept. In fact with using this new method, demand of customers case by case was analyzed and it is an important outcome in analyzing behavior of customers. Devising ways to prevent the accidents and damages will need the recognition of Customer's behavior. The NEURAL NETWORKS method is used to recognize the HIGH-RISK CUSTOMERS, and the results of this method are compared with the results of MAHALANOBIS-TAGUCHI SYSTEM. The results show that Mahalanobis- Taguchi system with its abnormality scale has a great capability in recognizing high-risk customer. To recognize the customer by the Mahalanobis Taguchi system is more accurate in comparison with the NEURAL NETWORKS method.

Cites

No record.

References

No record.

Cite

APA: Copy

ABBASI, SEYEDEH ELAHEH, AAGHAIE, ABDOLLAH, & FAZLALI, MAHBOUBEH. (2011). APPLYING MAHALANOBIS-TAGOUCHI SYSTEM IN DETECTION OF HIGH RISK CUSTOMERS -A CASE-BASED STUDY IN AN INSURANCE COMPANY. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), -(SUPPLEMENT), 1-12. SID. https://sid.ir/paper/166418/en

Vancouver: Copy

ABBASI SEYEDEH ELAHEH, AAGHAIE ABDOLLAH, FAZLALI MAHBOUBEH. APPLYING MAHALANOBIS-TAGOUCHI SYSTEM IN DETECTION OF HIGH RISK CUSTOMERS -A CASE-BASED STUDY IN AN INSURANCE COMPANY. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;-(SUPPLEMENT):1-12. Available from: https://sid.ir/paper/166418/en

IEEE: Copy

SEYEDEH ELAHEH ABBASI, ABDOLLAH AAGHAIE, and MAHBOUBEH FAZLALI, “APPLYING MAHALANOBIS-TAGOUCHI SYSTEM IN DETECTION OF HIGH RISK CUSTOMERS -A CASE-BASED STUDY IN AN INSURANCE COMPANY,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. -, no. SUPPLEMENT, pp. 1–12, 2011, [Online]. Available: https://sid.ir/paper/166418/en

Related Journal Papers