A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance

Abbas Parchami; Mashaallah Mashinchi; Cengiz Kahraman

doi:10.1007/978-3-030-51156-2_106

A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance

Abbas Parchami^*, Mashaallah Mashinchi, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

Shahid Bahonar University of Kerman

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

7 Citations (Scopus)

Abstract

Analysis of variance is an important method in exploratory and confirmatory data analysis when explanatory variables are discrete and response variables are continues and independent from each other. The simplest type of analysis of variance is one-way analysis of variance for comparison among means of several populations. In this paper, we extend one-way analysis of variance to a case where observed data are non-symmetric triangular fuzzy observations rather than real numbers. Meanwhile, a case study on the car battery length-life is provided on the basis on the proposed method.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques
Subtitle of host publication	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer
Pages	916-923
Number of pages	8
ISBN (Print)	9783030511555
DOIs	https://doi.org/10.1007/978-3-030-51156-2_106
Publication status	Published - 2021
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Duration: 21 Jul 2020 → 23 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1197 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/Territory	Turkey
City	Istanbul
Period	21/07/20 → 23/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Analysis of variance
Arithmetic fuzzy numbers
Fuzzy decision
Non-symmetric fuzzy data

Access to Document

10.1007/978-3-030-51156-2_106

Cite this

Parchami, A., Mashinchi, M., & Kahraman, C. (2021). A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 916-923). (Advances in Intelligent Systems and Computing; Vol. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_106

Parchami, Abbas ; Mashinchi, Mashaallah ; Kahraman, Cengiz. / A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 916-923 (Advances in Intelligent Systems and Computing).

@inproceedings{4003e8bb99b54629aeff3e65a76a6aa4,

title = "A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance",

abstract = "Analysis of variance is an important method in exploratory and confirmatory data analysis when explanatory variables are discrete and response variables are continues and independent from each other. The simplest type of analysis of variance is one-way analysis of variance for comparison among means of several populations. In this paper, we extend one-way analysis of variance to a case where observed data are non-symmetric triangular fuzzy observations rather than real numbers. Meanwhile, a case study on the car battery length-life is provided on the basis on the proposed method.",

keywords = "Analysis of variance, Arithmetic fuzzy numbers, Fuzzy decision, Non-symmetric fuzzy data",

author = "Abbas Parchami and Mashaallah Mashinchi and Cengiz Kahraman",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

year = "2021",

doi = "10.1007/978-3-030-51156-2_106",

language = "English",

isbn = "9783030511555",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "916--923",

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

booktitle = "Intelligent and Fuzzy Techniques",

address = "Germany",

}

Parchami, A, Mashinchi, M & Kahraman, C 2021, A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, vol. 1197 AISC, Springer, pp. 916-923, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_106

A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance. / Parchami, Abbas; Mashinchi, Mashaallah; Kahraman, Cengiz.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 916-923 (Advances in Intelligent Systems and Computing; Vol. 1197 AISC).

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

TY - GEN

T1 - A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance

AU - Parchami, Abbas

AU - Mashinchi, Mashaallah

AU - Kahraman, Cengiz

PY - 2021

Y1 - 2021

N2 - Analysis of variance is an important method in exploratory and confirmatory data analysis when explanatory variables are discrete and response variables are continues and independent from each other. The simplest type of analysis of variance is one-way analysis of variance for comparison among means of several populations. In this paper, we extend one-way analysis of variance to a case where observed data are non-symmetric triangular fuzzy observations rather than real numbers. Meanwhile, a case study on the car battery length-life is provided on the basis on the proposed method.

AB - Analysis of variance is an important method in exploratory and confirmatory data analysis when explanatory variables are discrete and response variables are continues and independent from each other. The simplest type of analysis of variance is one-way analysis of variance for comparison among means of several populations. In this paper, we extend one-way analysis of variance to a case where observed data are non-symmetric triangular fuzzy observations rather than real numbers. Meanwhile, a case study on the car battery length-life is provided on the basis on the proposed method.

KW - Analysis of variance

KW - Arithmetic fuzzy numbers

KW - Fuzzy decision

KW - Non-symmetric fuzzy data

UR - http://www.scopus.com/inward/record.url?scp=85088748814&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-51156-2_106

DO - 10.1007/978-3-030-51156-2_106

M3 - Conference contribution

AN - SCOPUS:85088748814

SN - 9783030511555

T3 - Advances in Intelligent Systems and Computing

SP - 916

EP - 923

BT - Intelligent and Fuzzy Techniques

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

Y2 - 21 July 2020 through 23 July 2020

ER -

Parchami A, Mashinchi M, Kahraman C. A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 916-923. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_106

A Case Study on Vehicle Battery Manufacturing Using Fuzzy Analysis of Variance

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this