Early collection system design using fuzzy rule based inference

Sezi Cevik Onar; Basar Oztaysi; Cengiz Kahraman

doi:10.1142/9789814619998_0005

Early collection system design using fuzzy rule based inference

Sezi Cevik Onar, Basar Oztaysi, Cengiz Kahraman

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

Early debt collection systems aim at collecting payments from the creditors with a minimum cost before the legal procedure. Our study develops a fuzzy inference system for early debt collection problems including the inputs amount of loan, wealth of debtor, past history of debtor, and amount of other debts and the output possibility of repaying the debt and the way of communication. Thus maximum collection of debts before legal process with minimum cots can be achieved.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014
Editörler	Ronei Marcos de Moraes, Etienne E. Kerre, Liliane dos Santos Machado, Jie Lu
Yayınlayan	World Scientific Publishing Co. Pte Ltd
Sayfalar	11-16
Sayfa sayısı	6
ISBN (Elektronik)	9789814619967
DOI'lar	https://doi.org/10.1142/9789814619998_0005
Yayın durumu	Yayınlandı - 2014
Etkinlik	Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014 - Joao Pessoa, Paraiba, Brazil Süre: 17 Ağu 2014 → 20 Ağu 2014

Yayın serisi

Adı	Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

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???event.eventtypes.event.conference???	Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014
Ülke/Bölge	Brazil
Şehir	Joao Pessoa, Paraiba
Periyot	17/08/14 → 20/08/14

Bibliyografik not

Publisher Copyright:
© 2014 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.

Belgeye Erişim

10.1142/9789814619998_0005

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Onar, S. C., Oztaysi, B., & Kahraman, C. (2014). Early collection system design using fuzzy rule based inference. In R. M. de Moraes, E. E. Kerre, L. dos Santos Machado, & J. Lu (Eds.), Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014 (pp. 11-16). (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789814619998_0005

Onar, Sezi Cevik ; Oztaysi, Basar ; Kahraman, Cengiz. / Early collection system design using fuzzy rule based inference. Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. editör / Ronei Marcos de Moraes ; Etienne E. Kerre ; Liliane dos Santos Machado ; Jie Lu. World Scientific Publishing Co. Pte Ltd, 2014. pp. 11-16 (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014).

@inproceedings{7411f462725740fa825355481aefdd7d,

title = "Early collection system design using fuzzy rule based inference",

abstract = "Early debt collection systems aim at collecting payments from the creditors with a minimum cost before the legal procedure. Our study develops a fuzzy inference system for early debt collection problems including the inputs amount of loan, wealth of debtor, past history of debtor, and amount of other debts and the output possibility of repaying the debt and the way of communication. Thus maximum collection of debts before legal process with minimum cots can be achieved.",

author = "Onar, {Sezi Cevik} and Basar Oztaysi and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2014 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.; Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014 ; Conference date: 17-08-2014 Through 20-08-2014",

year = "2014",

doi = "10.1142/9789814619998_0005",

language = "English",

series = "Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014",

publisher = "World Scientific Publishing Co. Pte Ltd",

pages = "11--16",

editor = "{de Moraes}, {Ronei Marcos} and Kerre, {Etienne E.} and {dos Santos Machado}, Liliane and Jie Lu",

booktitle = "Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014",

address = "Singapore",

}

Onar, SC , Oztaysi, B & Kahraman, C 2014, Early collection system design using fuzzy rule based inference. in RM de Moraes, EE Kerre, L dos Santos Machado & J Lu (eds), Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014, World Scientific Publishing Co. Pte Ltd, pp. 11-16, Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014, Joao Pessoa, Paraiba, Brazil, 17/08/14. https://doi.org/10.1142/9789814619998_0005

Early collection system design using fuzzy rule based inference. / Onar, Sezi Cevik ; Oztaysi, Basar ; Kahraman, Cengiz.
Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. ed. / Ronei Marcos de Moraes; Etienne E. Kerre; Liliane dos Santos Machado; Jie Lu. World Scientific Publishing Co. Pte Ltd, 2014. p. 11-16 (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Early collection system design using fuzzy rule based inference

AU - Onar, Sezi Cevik

AU - Oztaysi, Basar

AU - Kahraman, Cengiz

PY - 2014

Y1 - 2014

N2 - Early debt collection systems aim at collecting payments from the creditors with a minimum cost before the legal procedure. Our study develops a fuzzy inference system for early debt collection problems including the inputs amount of loan, wealth of debtor, past history of debtor, and amount of other debts and the output possibility of repaying the debt and the way of communication. Thus maximum collection of debts before legal process with minimum cots can be achieved.

AB - Early debt collection systems aim at collecting payments from the creditors with a minimum cost before the legal procedure. Our study develops a fuzzy inference system for early debt collection problems including the inputs amount of loan, wealth of debtor, past history of debtor, and amount of other debts and the output possibility of repaying the debt and the way of communication. Thus maximum collection of debts before legal process with minimum cots can be achieved.

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U2 - 10.1142/9789814619998_0005

DO - 10.1142/9789814619998_0005

M3 - Conference contribution

AN - SCOPUS:84986220177

T3 - Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

SP - 11

EP - 16

BT - Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014

A2 - de Moraes, Ronei Marcos

A2 - Kerre, Etienne E.

A2 - dos Santos Machado, Liliane

A2 - Lu, Jie

PB - World Scientific Publishing Co. Pte Ltd

T2 - Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014

Y2 - 17 August 2014 through 20 August 2014

ER -

Onar SC , Oztaysi B , Kahraman C. Early collection system design using fuzzy rule based inference. In de Moraes RM, Kerre EE, dos Santos Machado L, Lu J, editörler, Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014. World Scientific Publishing Co. Pte Ltd. 2014. p. 11-16. (Decision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014). doi: 10.1142/9789814619998_0005

Early collection system design using fuzzy rule based inference

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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