Review of Descriptive Analytics Under Fuzziness

Elmira Farrokhizadeh; Başar Öztayşi

doi:10.1007/978-3-031-09176-6_71

Review of Descriptive Analytics Under Fuzziness

Elmira Farrokhizadeh, Başar Öztayşi^*

^*Corresponding author for this work

Department of Industrial Engineering

Urmia University of Technology

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

Abstract

Business Analytics is one of the business management methods that deals with descriptive models which create meaningful insights to support and reinforce the business performance. It is one of the most widely used topics in business and Industry. The first state of each analytics is collecting valid data. Descriptive Analytics is the first stage of data processing that outlines historical data to acquire helpful information and organize the data for advanced analysis. In analyzing and classifying data from a statistical perspective, fuzzy sets and logic have become valuable tools to either model and handle imprecise data or establish flexible techniques to deal with precise data. Despite the popularity of Business Analytics in literature and the importance of Descriptive analytics as a first step, many aspects are still unclear. So due to the importance of Descriptive Analytics for organizations and the vagueness nature of data, we try to review Descriptive Analytics under fuzziness in this article.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	639-645
Number of pages	7
ISBN (Print)	9783031091759
DOIs	https://doi.org/10.1007/978-3-031-09176-6_71
Publication status	Published - 2022
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Duration: 19 Jul 2022 → 21 Jul 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	505 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Country/Territory	Turkey
City	Izmir
Period	19/07/22 → 21/07/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Business analytics
Descriptive analytics
Fuzzy sets

Access to Document

10.1007/978-3-031-09176-6_71

Cite this

Farrokhizadeh, E., & Öztayşi, B. (2022). Review of Descriptive Analytics Under Fuzziness. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, A. C. Tolga, & S. Cebi (Eds.), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2 (pp. 639-645). (Lecture Notes in Networks and Systems; Vol. 505 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09176-6_71

Farrokhizadeh, Elmira ; Öztayşi, Başar. / Review of Descriptive Analytics Under Fuzziness. Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagri Tolga ; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 639-645 (Lecture Notes in Networks and Systems).

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Farrokhizadeh, E & Öztayşi, B 2022, Review of Descriptive Analytics Under Fuzziness. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, AC Tolga & S Cebi (eds), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. Lecture Notes in Networks and Systems, vol. 505 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 639-645, International Conference on Intelligent and Fuzzy Systems, INFUS 2022, Izmir, Turkey, 19/07/22. https://doi.org/10.1007/978-3-031-09176-6_71

Review of Descriptive Analytics Under Fuzziness. / Farrokhizadeh, Elmira; Öztayşi, Başar.
Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; A. Cagri Tolga; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. p. 639-645 (Lecture Notes in Networks and Systems; Vol. 505 LNNS).

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

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ER -

Farrokhizadeh E, Öztayşi B. Review of Descriptive Analytics Under Fuzziness. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Tolga AC, Cebi S, editors, Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. Springer Science and Business Media Deutschland GmbH. 2022. p. 639-645. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-09176-6_71

Review of Descriptive Analytics Under Fuzziness

Abstract

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Bibliographical note

Keywords

Access to Document

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