Exploiting the Potential of Artificial Intelligence in Decision Support Systems
DOI:
https://doi.org/10.18034/abcjar.v7i2.695Keywords:
Decision Support System (DSS), Artificial Intelligence, Intelligent Decision Support Systems (IDSS), Natural Language Processing (NLP)Abstract
For several years now, the concept of AI being able to quickly and extensively replace expert workers at massive scales has been on the cusp of becoming a reality. Although AI has shown to be an effective tool for many activities, humans still have a significant advantage in many other areas. Companies are becoming more conscious of this fact. As a result, they are restructuring their business processes to provide their experts and customers with AI support in a more targeted manner. This study aims to present a high-quality review that covers unique, cutting-edge technologies and methodologies connected with the scientific design, development, and implementation of AI-DSS employing the most recent developments in AI and multi-criteria decision-making. The review will be presented in the form of a report. This article examines whether or not the growth of so-called artificial intelligence-driven decision support systems, also known as AI-DSS, threatens decision-making processes and, if so, how that threat manifests itself.
Downloads
References
Canter, D., Coffey, T., Huntley, M., et al. (2000). Predicting Serial Killers' Home Base Using a Decision Support System. Journal of Quantitative Criminology, 16, 457–478. https://doi.org/10.1023/A:1007551316253 DOI: https://doi.org/10.1023/A:1007551316253
Dekkati, S., & Thaduri, U. R. (2017). Innovative Method for the Prediction of Software Defects Based on Class Imbalance Datasets. Technology & Management Review, 2, 1–5. https://upright.pub/index.php/tmr/article/view/78
Desamsetti, H. (2016). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.
Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661 DOI: https://doi.org/10.18034/ei.v5i2.661
Gutlapalli, S. S. (2016a). An Examination of Nanotechnology’s Role as an Integral Part of Electronics. ABC Research Alert, 4(3), 21–27. https://doi.org/10.18034/ra.v4i3.651 DOI: https://doi.org/10.18034/ra.v4i3.651
Gutlapalli, S. S. (2016b). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653 DOI: https://doi.org/10.18034/ei.v4i2.653
Gutlapalli, S. S. (2017a). Analysis of Multimodal Data Using Deep Learning and Machine Learning. Asian Journal of Humanity, Art and Literature, 4(2), 171–176. https://doi.org/10.18034/ajhal.v4i2.658 DOI: https://doi.org/10.18034/ajhal.v4i2.658
Gutlapalli, S. S. (2017b). The Role of Deep Learning in the Fourth Industrial Revolution: A Digital Transformation Approach. Asian Accounting and Auditing Advancement, 8(1), 52–56. Retrieved from https://4ajournal.com/article/view/77
Gutlapalli, S. S. (2017c). An Early Cautionary Scan of the Security Risks of the Internet of Things. Asian Journal of Applied Science and Engineering, 6, 163–168. Retrieved from https://ajase.net/article/view/14
Lepratti, R. (2006). Advanced human–machine system for intelligent manufacturing. J Intell Manuf, 17, 653–666. https://doi.org/10.1007/s10845-006-0035-z DOI: https://doi.org/10.1007/s10845-006-0035-z
Liu, S., Duffy, A. H. B., Whitfield, R. I. et al. (2010). Integration of decision support systems to improve decision support performance. Knowl Inf Syst, 22, 261–286. https://doi.org/10.1007/s10115-009-0192-4 DOI: https://doi.org/10.1007/s10115-009-0192-4
Mandapuram, M. (2016). Applications of Blockchain and Distributed Ledger Technology (DLT) in Commercial Settings. Asian Accounting and Auditing Advancement, 7(1), 50–57. Retrieved from https://4ajournal.com/article/view/76
Mandapuram, M. (2017a). Application of Artificial Intelligence in Contemporary Business: An Analysis for Content Management System Optimization. Asian Business Review, 7(3), 117–122. https://doi.org/10.18034/abr.v7i3.650 DOI: https://doi.org/10.18034/abr.v7i3.650
Mandapuram, M. (2017b). Security Risk Analysis of the Internet of Things: An Early Cautionary Scan. ABC Research Alert, 5(3), 49–55. https://doi.org/10.18034/ra.v5i3.650 DOI: https://doi.org/10.18034/ra.v5i3.650
Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the Prospects of Generative Artificial Intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659 DOI: https://doi.org/10.18034/ajhal.v5i2.659
Schalley, A. C., Huang, C-R., Calzolari, N., Gangemi, A., Lenci, A., Oltramari, A., and Prévot, L. (2012). Ontology and the Lexicon: a natural language processing perspective. (Studies in Natural Language Processing.). Lang Resources & Evaluation, 46, 95–100. https://doi.org/10.1007/s10579-011-9138-z DOI: https://doi.org/10.1007/s10579-011-9138-z
Thaduri, U. R., Ballamudi, V. K. R., Dekkati, S., & Mandapuram, M. (2016). Making the Cloud Adoption Decisions: Gaining Advantages from Taking an Integrated Approach. International Journal of Reciprocal Symmetry and Theoretical Physics, 3, 11–16. https://upright.pub/index.php/ijrstp/article/view/77
Thodupunori, S. R., & Gutlapalli, S. S. (2018). Overview of LeOra Software: A Statistical Tool for Decision Makers. Technology & Management Review, 3(1), 7–11.
Volk, M., Lautenbach, S., van Delden, H. et al. (2010). How Can We Make Progress with Decision Support Systems in Landscape and River Basin Management? Lessons Learned from a Comparative Analysis of Four Different Decision Support Systems. Environmental Management, 46, 834–849. https://doi.org/10.1007/s00267-009-9417-2 DOI: https://doi.org/10.1007/s00267-009-9417-2
Wagner, W. S. B., Klein, E., and Loper, E. (2010). Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit. Lang Resources & Evaluation, 44, 421–424. https://doi.org/10.1007/s10579-010-9124-x DOI: https://doi.org/10.1007/s10579-010-9124-x
Downloads
Published
Issue
Section
License
Copyright (c) 2018 Karu Lal, Venkata Koteswara Rao Ballamudi, Upendar Rao Thaduri
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
