Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS

Basar Oztaysi; Selcuk Cebi; Sezi Cevik Onar; Cengiz Kahraman

doi:10.1007/978-3-031-97985-9_56

Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS

Basar Oztaysi^*, Selcuk Cebi, Sezi Cevik Onar, Cengiz Kahraman

^*Corresponding author for this work

Department of Industrial Engineering

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

Abstract

A low-code platform is a software development environment that enables users to build software applications rapidly with a minimal amount of coding. These platforms provide visual tools, drag-and-drop components, and pre-built logic, allowing users to easily design, develop, and deploy applications. Picture Fuzzy (PF) sets represent experts’ evaluations by using the degrees of membership, non-membership, and hesitancy regarding an element’s inclusion in a set. PF sets have been extended to Interval-Valued Picture Fuzzy Sets (IVPFSs) to offer greater flexibility in assigning these degrees. With this structure, interval-valued picture fuzzy multi-criteria decision-making methods yield more accurate and realistic results compared to other approaches, as they can better capture the opinions of experts. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a widely used multi-criteria decision-making (MCDM) method for ranking and selecting the best alternative from a set of options based on multiple, often conflicting, criteria. In this study, we propose an evaluation and selection decision model for low-code platforms using the IVPFS-TOPSIS methodology.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference
Editors	Cengiz Kahraman, Basar Oztaysi, Selcuk Cebi, Sezi Cevik Onar, Cagri Tolga, Irem Ucal Sari, Irem Otay
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	504-512
Number of pages	9
ISBN (Print)	9783031979842
DOIs	https://doi.org/10.1007/978-3-031-97985-9_56
Publication status	Published - 2025
Event	7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 - Istanbul, Turkey Duration: 29 Jul 2025 → 31 Jul 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1528 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025
Country/Territory	Turkey
City	Istanbul
Period	29/07/25 → 31/07/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

Interval-Valued Picture Fuzzy Sets
Low-Code
Picture Fuzzy Sets
TOPSIS

Access to Document

10.1007/978-3-031-97985-9_56

Cite this

Oztaysi, B., Cebi, S., Onar, S. C., & Kahraman, C. (2025). Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS. In C. Kahraman, B. Oztaysi, S. Cebi, S. Cevik Onar, C. Tolga, I. Ucal Sari, & I. Otay (Eds.), Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference (pp. 504-512). (Lecture Notes in Networks and Systems; Vol. 1528 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-97985-9_56

Oztaysi, Basar ; Cebi, Selcuk ; Onar, Sezi Cevik et al. / Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS. Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. editor / Cengiz Kahraman ; Basar Oztaysi ; Selcuk Cebi ; Sezi Cevik Onar ; Cagri Tolga ; Irem Ucal Sari ; Irem Otay. Springer Science and Business Media Deutschland GmbH, 2025. pp. 504-512 (Lecture Notes in Networks and Systems).

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title = "Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS",

abstract = "A low-code platform is a software development environment that enables users to build software applications rapidly with a minimal amount of coding. These platforms provide visual tools, drag-and-drop components, and pre-built logic, allowing users to easily design, develop, and deploy applications. Picture Fuzzy (PF) sets represent experts{\textquoteright} evaluations by using the degrees of membership, non-membership, and hesitancy regarding an element{\textquoteright}s inclusion in a set. PF sets have been extended to Interval-Valued Picture Fuzzy Sets (IVPFSs) to offer greater flexibility in assigning these degrees. With this structure, interval-valued picture fuzzy multi-criteria decision-making methods yield more accurate and realistic results compared to other approaches, as they can better capture the opinions of experts. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a widely used multi-criteria decision-making (MCDM) method for ranking and selecting the best alternative from a set of options based on multiple, often conflicting, criteria. In this study, we propose an evaluation and selection decision model for low-code platforms using the IVPFS-TOPSIS methodology.",

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

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 ; Conference date: 29-07-2025 Through 31-07-2025",

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series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "504--512",

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

booktitle = "Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference",

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Oztaysi, B, Cebi, S, Onar, SC & Kahraman, C 2025, Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS. in C Kahraman, B Oztaysi, S Cebi, S Cevik Onar, C Tolga, I Ucal Sari & I Otay (eds), Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. Lecture Notes in Networks and Systems, vol. 1528 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 504-512, 7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025, Istanbul, Turkey, 29/07/25. https://doi.org/10.1007/978-3-031-97985-9_56

Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS. / Oztaysi, Basar; Cebi, Selcuk; Onar, Sezi Cevik et al.
Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. ed. / Cengiz Kahraman; Basar Oztaysi; Selcuk Cebi; Sezi Cevik Onar; Cagri Tolga; Irem Ucal Sari; Irem Otay. Springer Science and Business Media Deutschland GmbH, 2025. p. 504-512 (Lecture Notes in Networks and Systems; Vol. 1528 LNNS).

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

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T1 - Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS

AU - Oztaysi, Basar

AU - Cebi, Selcuk

AU - Onar, Sezi Cevik

AU - Kahraman, Cengiz

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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N2 - A low-code platform is a software development environment that enables users to build software applications rapidly with a minimal amount of coding. These platforms provide visual tools, drag-and-drop components, and pre-built logic, allowing users to easily design, develop, and deploy applications. Picture Fuzzy (PF) sets represent experts’ evaluations by using the degrees of membership, non-membership, and hesitancy regarding an element’s inclusion in a set. PF sets have been extended to Interval-Valued Picture Fuzzy Sets (IVPFSs) to offer greater flexibility in assigning these degrees. With this structure, interval-valued picture fuzzy multi-criteria decision-making methods yield more accurate and realistic results compared to other approaches, as they can better capture the opinions of experts. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a widely used multi-criteria decision-making (MCDM) method for ranking and selecting the best alternative from a set of options based on multiple, often conflicting, criteria. In this study, we propose an evaluation and selection decision model for low-code platforms using the IVPFS-TOPSIS methodology.

AB - A low-code platform is a software development environment that enables users to build software applications rapidly with a minimal amount of coding. These platforms provide visual tools, drag-and-drop components, and pre-built logic, allowing users to easily design, develop, and deploy applications. Picture Fuzzy (PF) sets represent experts’ evaluations by using the degrees of membership, non-membership, and hesitancy regarding an element’s inclusion in a set. PF sets have been extended to Interval-Valued Picture Fuzzy Sets (IVPFSs) to offer greater flexibility in assigning these degrees. With this structure, interval-valued picture fuzzy multi-criteria decision-making methods yield more accurate and realistic results compared to other approaches, as they can better capture the opinions of experts. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a widely used multi-criteria decision-making (MCDM) method for ranking and selecting the best alternative from a set of options based on multiple, often conflicting, criteria. In this study, we propose an evaluation and selection decision model for low-code platforms using the IVPFS-TOPSIS methodology.

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M3 - Conference contribution

AN - SCOPUS:105012919809

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T3 - Lecture Notes in Networks and Systems

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BT - Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference

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A2 - Oztaysi, Basar

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A2 - Cevik Onar, Sezi

A2 - Tolga, Cagri

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A2 - Otay, Irem

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Oztaysi B, Cebi S, Onar SC, Kahraman C. Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS. In Kahraman C, Oztaysi B, Cebi S, Cevik Onar S, Tolga C, Ucal Sari I, Otay I, editors, Intelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference. Springer Science and Business Media Deutschland GmbH. 2025. p. 504-512. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-97985-9_56

Low-Code Platform Selection Using Interval Picture Fuzzy TOPSIS

Abstract

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Bibliographical note

Keywords

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