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^*

^*Corresponding author for this work

Department of Industrial Engineering

Dogus University

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Publisher	Springer Verlag
Pages	115-122
Number of pages	8
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_16
Publication status	Published - 2020
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1029
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/Territory	Turkey
City	Istanbul
Period	23/07/19 → 25/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Forecasting
Fuzzy cognitive mapping
Reachability matrix

Access to Document

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

Cite this

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; Vol. 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. editor / 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).

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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",

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series = "Advances in Intelligent Systems and Computing",

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

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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, vol. 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; Vol. 1029).

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

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

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

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AN - SCOPUS:85069481275

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

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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, editors, 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

Abstract

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Keywords

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