An improved fuzzy cognitive mapping method

Umut Asan; Cigdem Kadaifci

doi:10.1007/978-3-030-23756-1_16

An improved fuzzy cognitive mapping method

Umut Asan, Cigdem Kadaifci^*

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Dogus University

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

3 Atıf (Scopus)

Özet

Fuzzy Cognitive Mapping (FCM) models the evolution of a system over time. However, FCM tends to produce the same steady state values under different initial conditions. To address this issue, this study suggests an improved FCM method that integrates the reachability matrix of the classical Cognitive Mapping method into FCM. The proposed method produces more distinctive and representative steady state values by appropriately incorporating the initial conditions. The applicability and effectiveness of the improved method are shown by an example.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	115-122
Sayfa sayısı	8
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_16
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

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???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-23756-1_16

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Asan, U., & Kadaifci, C. (2020). An improved fuzzy cognitive mapping method. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 115-122). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_16

Asan, Umut ; Kadaifci, Cigdem. / An improved fuzzy cognitive mapping method. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 115-122 (Advances in Intelligent Systems and Computing).

@inproceedings{06e9f63bdd9b4ee89e93e7a11e05ed90,

title = "An improved fuzzy cognitive mapping method",

abstract = "Fuzzy Cognitive Mapping (FCM) models the evolution of a system over time. However, FCM tends to produce the same steady state values under different initial conditions. To address this issue, this study suggests an improved FCM method that integrates the reachability matrix of the classical Cognitive Mapping method into FCM. The proposed method produces more distinctive and representative steady state values by appropriately incorporating the initial conditions. The applicability and effectiveness of the improved method are shown by an example.",

keywords = "Forecasting, Fuzzy cognitive mapping, Reachability matrix",

author = "Umut Asan and Cigdem Kadaifci",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_16",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "115--122",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and A.Cagri Tolga",

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

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Asan, U & Kadaifci, C 2020, An improved fuzzy cognitive mapping method. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 115-122, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_16

An improved fuzzy cognitive mapping method. / Asan, Umut ; Kadaifci, Cigdem.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 115-122 (Advances in Intelligent Systems and Computing; Hac. 1029).

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

TY - GEN

T1 - An improved fuzzy cognitive mapping method

AU - Asan, Umut

AU - Kadaifci, Cigdem

PY - 2020

Y1 - 2020

N2 - Fuzzy Cognitive Mapping (FCM) models the evolution of a system over time. However, FCM tends to produce the same steady state values under different initial conditions. To address this issue, this study suggests an improved FCM method that integrates the reachability matrix of the classical Cognitive Mapping method into FCM. The proposed method produces more distinctive and representative steady state values by appropriately incorporating the initial conditions. The applicability and effectiveness of the improved method are shown by an example.

AB - Fuzzy Cognitive Mapping (FCM) models the evolution of a system over time. However, FCM tends to produce the same steady state values under different initial conditions. To address this issue, this study suggests an improved FCM method that integrates the reachability matrix of the classical Cognitive Mapping method into FCM. The proposed method produces more distinctive and representative steady state values by appropriately incorporating the initial conditions. The applicability and effectiveness of the improved method are shown by an example.

KW - Forecasting

KW - Fuzzy cognitive mapping

KW - Reachability matrix

UR - http://www.scopus.com/inward/record.url?scp=85069481275&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-23756-1_16

DO - 10.1007/978-3-030-23756-1_16

M3 - Conference contribution

AN - SCOPUS:85069481275

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 115

EP - 122

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Asan U , Kadaifci C. An improved fuzzy cognitive mapping method. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 115-122. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_16

An improved fuzzy cognitive mapping method

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Belgeye Erişim

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