journal article·2024Open access

Evaluation of Industrial IoT Service Providers with TOPSIS Based on Circular Intuitionistic Fuzzy Sets

Elif Çaloğlu Büyükselçuk

Computers, Materials & Continua· Volume 80· Issue 1

Abstract

Industrial Internet of Things (IIoT) service providers have become increasingly important in the manufacturing industry due to their ability to gather and process vast amounts of data from connected devices, enabling manufact... | Find, read and cite all the research you need on Tech Science Press
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OpenAlex topics: Multi-Criteria Decision Making

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References (65)

Show source-provided references
1. A full comparison study of service discovery approaches for internet of things10.1108/IJPCC-04-2019-0038 ↗
2. Service composition approaches in IoT: A systematic review10.1016/j.jnca.2018.07.013 ↗
3. Blockchain for the IoT and industrial IoT: A review10.1016/j.iot.2019.100081 ↗
4. Opportunities and risks of internet of things (IoT) technologies for circular business models: A literature review10.1016/j.jenvman.2023.117662 ↗
5. What IoT devices and applications should be connected? Predicting user behaviors of IoT services with node2vec embedding10.1016/j.ipm.2022.102869 ↗
6. A KPI set for steering the IoT business in product companies10.1080/08956308.2022.2015951 ↗
7. Litum, “The benefits of industrial IoT to businesses,” Accessed: Jan. 1, 2023. [Online]. Available: https://litum.com/the-benefits-of-industrial-iot-businesses
8. Engineering the application of machine learning in an IDS based on IOT traffic flow
9. Securing the internet of things (IoT) ecosystem: Challenges and solutions in cybersecurity
10. C. Parris, “What is the industrial internet of things (IIoT)?” Accessed: May 17, 2024. [Online]. Available: https://www.ge.com/digital/blog/what-industrial-internet-things-iiot
11. Siemens, “IIoT evolution: An approach to reuse and scale your IIoT technology investment,” Accessed: May 17, 2024. [Online]. Available: https://resources.sw.siemens.com/en-US/white-paper-iiot-evolution-reuse-and-scale-your-iiot-technology
12. Bosch, “HOLMER: How to make the most of agricultural IoT data,” Accessed: May 17, 2024. [Online]. Available: https://bosch-iot-suite.com/knowledge-center/customer-reference/holmer-how-to-make-the-most-of-agricultural-iot-data/
13. ABB, “Aurubis Olen seeks a remedy for an unexpected downtime,” Accessed: May 17, 2024. [Online]. Available: https://stories.ability.abb.com/aurubis-olen/situation.html
14. ABB, “Tokuyama cement plant uses ABB industrial software to reduce energy consumption,” Accessed: May 17, 2024. [Online]. Available: https://stories.ability.abb.com/tokuyama/?_ga=2.189943656.236566383.1715951206-1056602989.1715951206
15. ABB, “Renewble packaging producer seeks to improve productivity,” Accessed: May 17, 2024. [Online]. Available: https://stories.ability.abb.com/stora-enso/situation.html
16. ABB, “Jujo thermal seeks to upgrade its manufacturing business systems,” Accessed: May 17, 2024. [Online]. Available: https://stories.ability.abb.com/jujo-thermal/situation.html
17. MCDM approach to select IoT devices for the reverse logistics process in the clinical trials supply chain
18. A multi-criteria decision-making process for the selection of an efficient and reliable IoT application10.3390/pr11051313 ↗
19. Evaluating IoT platforms using integrated probabilistic linguistic MCDM method10.1109/JIOT.2020.2997133 ↗
20. IoT system selection as a fuzzy multi-criteria problem10.3390/s22114110 ↗
21. A novel IoT application recommendation system using metaheuristic multi-criteria analysis
22. Web of Science, Accessed: Mar. 19, 2023. [Online]. Available: https://www.webofscience.com/wos/woscc/summary/d7a46765-1307-4c36-a172-bea638a27a37-ea33a88b/relevance/1
23. Cognitive adaptive systems for industrial internet of things using reinforcement algorithm10.3390/electronics12010217 ↗
24. Blockchain and the industrial internet of things a requirement taxonomy and systematic fit analysis10.1108/JEIM-06-2018-0140 ↗
25. Cyber-security of industrial internet of things in electric power systems10.1109/ACCESS.2022.3202914 ↗
26. Industrial internet of things-enabled monitoring and maintenance mechanism for fully mechanized mining equipment10.1016/j.aei.2022.101782 ↗
27. Industrial internet of things: Requirements, architecture, challenges, and future research directions10.1109/ACCESS.2022.3185049 ↗
28. From IoT-based cloud manufacturing approach to intelligent additive manufacturing: Industrial internet of things-an overview10.1007/s00170-021-08436-x ↗
29. Internet of things (IoT) application for management in automotive parts manufacturing
30. Hyperledger fabric access control for industrial internet of things10.3390/app12063125 ↗
31. A survey on blockchain for industrial internet of things10.1016/j.aej.2021.11.023 ↗
32. Big data analytics challenges to implementing the intelligent industrial internet of things (IIoT) systems in sustainable manufacturing operations10.1016/j.techfore.2023.122401 ↗
33. Web of Science. Accessed: Mar. 19, 2023. [Online]. Available: https://www.webofscience.com/wos/woscc/summary/4d8688b5-38de-4a24-ab5f-027885176e86-ea338827/relevance/1
34. Intuitionistic fuzzy three way ranking based TOPSIS approach with a novel entropy measure and its application to medical treatment selection10.1016/j.advengsoft.2023.103459 ↗
35. Evaluating the quality factors of leaf plates by fuzzy TOPSIS method10.1016/j.matpr.2023.01.390 ↗
36. A hybrid novel fuzzy AHP-TOPSIS technique for selecting parameter-influencing testing in software development10.1016/j.dajour.2022.100159 ↗
37. Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment10.1016/j.asoc.2023.110206 ↗
38. Facilitating decision-making for the adoption of smart manufacturing technologies by SMEs via fuzzy TOPSIS10.1016/j.ijpe.2022.108762 ↗
39. An ANP-TOPSIS model for tourist destination choice problems under temporal neutrosophic environment10.1016/j.asoc.2023.110146 ↗
40. An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working conditions of the aluminium cell10.1016/j.engappai.2022.105599 ↗
41. Selection of solar panel using entropy-TOPSIS technique
42. Decision-making model for failure modes and effect analysis based on rough fuzzy integrated clouds10.1016/j.asoc.2023.110148 ↗
43. An assessment of renewable energy development in belt and road initiative countries: An entropy and TOPSIS approach10.1016/j.egyr.2023.09.085 ↗
44. A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells10.1016/j.jhydrol.2023.129387 ↗
45. Hybrid multiple-criteria decision-making for bulk carriers ballast water management system selection10.1016/j.ocecoaman.2022.106456 ↗
46. Selection of non-financial sustainability indicator as key elements for multi-criteria analysis of hotel chains10.1016/j.spc.2022.12.004 ↗
47. A group decision making method based on TOPSIS under fuzzy soft environment
48. A new approach to group decision-making method based on TOPSIS under fuzzy soft environment
49. Quantifying Arctic oil spilling event risk by integrating an analytic network process and a fuzzy comprehensive evaluation model10.1016/j.ocecoaman.2022.106326 ↗
50. Circular intuitionistic fuzzy TOPSIS method with vague membership functions: Supplier selection application context10.7546/nifs.2021.27.1.24-52 ↗
51. Divergence measures for circular intuitionistic fuzzy sets and their applications10.1016/j.engappai.2022.105455 ↗
52. Circular intuitionistic fuzzy sets
53. Four distances for circular intuitionistic fuzzy sets10.3390/math9101121 ↗
54. A circular intuitionistic fuzzy evaluation method based on distances from the average solution to support multiple criteria intelligent decisions involving uncertainty10.1016/j.engappai.2022.105499 ↗
55. Evaluation of the difficulties in the internet of things (IoT) with multi-criteria decision-making10.3390/pr7030164 ↗
56. Evaluating distributed IoT databases for edge/cloud platforms using the analytic hierarchy process10.1016/j.jpdc.2018.10.008 ↗
57. A framework for ranking of cloud computing services10.1016/j.future.2012.06.006 ↗
58. A hybrid approach to automatic IaaS service selection10.1186/s13677-018-0113-8 ↗
59. Multi-criteria decision making for selecting a rational IoT platform
60. Singla · Cognitive Computing for Big Data Systems over IoT: Frameworks, Tools and Applications · 2018 · 63
61. Block hunter: Federated learning for cyber threat hunting in blockchain-based IIoT networks10.1109/TII.2022.3168011 ↗
62. Secure intelligent fuzzy blockchain framework: Effective threat detection in IoT networks10.1016/j.compind.2022.103801 ↗
63. A multi-criteria decision model for the selection of a more suitable Internet-of-Things device
64. Multi-criteria analysis and decision methodology for the selection of internet-of-things hardware platforms
65. M. Pliats, “Industrial IoT security: Top concerns and actionable strategies,” Accessed: May 6, 2024. [Online]. Available: https://www.itransition.com/iot/industrial-security