Soft Computing in Decision Support Systems

Authors

  • Matthew N. O. Sadiku Prairie View A&M University, Prairie View, Texas.
  • Chandra M. M. Kotteti Northwest Missouri State University, MO
  • Abayomi Ajayi-Majebi Central State University in Wilberforce, Ohio.
  • Sarhan M. Musa Prairie View A&M University, Texas.

DOI:

https://doi.org/10.31695/IJASRE.2022.8.2.21

Keywords:

Computer Science, Hard Computing, Decision Making, Decision Support System, Soft Computing,

Abstract

The complexity of modern decisions has caused organizations to become increasingly dependent on advanced intelligent technologies to quickly process large amounts of data and make an informed decisions.  A decision support system [DSS] is a computer-based system that helps in the process of decision making.  It is designed to support better-informed decision-making. It is used to support determinations, judgments, and courses of action in an organization. Intelligent decision support systems based on soft computing have attracted the attention of researchers and practitioners in a wide range of disparate areas from engineering to business.  This paper is an introduction on the applications of soft computing in decision support systems.

References

J. Dujmovic and W. L. Allen III, “Soft computing logic decision making in strategic conservation planning for water quality protection,” Ecological Informatics, vol. 61, March 2021.

T. Segal, “Decision support system (DSS),” January 2022,

https://www.investopedia.com/terms/d/decision-support-system.asp

“What is a decision support system”

https://corporatefinanceinstitute.com/resources/knowledge/other/decision-support-system-dss/

M. N. O. Sadiku, Y. Wang, S. Cui, S. M. Musa, “Soft computing: An introduction,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 8, no. 6, June 2018, pp. 63-65.

S. B. B. Priyadarshini et al., “A comprehensive review on soft computing framework,” International Journal of Advanced Mechanical Engineering, vol. 8, no. 1 2018, pp. 221-228.

V. Chichernea, “The use of decision support systems (DSS) in smart city planning and management,” Journal of Information Systems & Operations Management, vol. 8, no. 2, December 2014.

B. Kukreja, H. Kaur, and A. Chowdhary, “Soft-computing approach in clinical decision support systems,” in S. Dash et al. (eds), Deep Learning, Machine Learning, and IoT in Biomedical and Health Informatics. Boca Raton, FL: CRC Press, 2022.

S. El-Sappagh et al., “Clinical decision support system for liver fibrosis prediction in hepatitis patients: A case comparison of two soft computing techniques,” IEEE Access, vol. 6, 2018, pp. 52911-52929.

F. Castro, A. Nebot, and F. Mugica, “A soft computing decision support framework to improve the e-learning experience”, Proceedings of the 2008 Spring Simulation Multiconference, April 2998, pp. 781-788.

J.D. Bermúdeza, J.V. Segurab, E. Verchera, “A decision support system methodology for forecasting of time series based on soft computing,” Computational Statistics & Data Analysis, vol.51, 2006, pp. 177 – 191.

“Five decision support system examples you need to know”

https://www.riverlogic.com

M. Makowski et al., Applied Decision Support With Soft Computing. Springer, Undated.

“Special issue on intelligent decision support systems based on soft computing,” Applied Soft Computing, October 2016

X. Yu and J. Kacprzyk, Applied Decision Support with Soft Computing. Springer 2003.

Decision Making and Soft Computing: Proceedings of the 11th International FLINS Conference, Brazil, August 2014.

Downloads

How to Cite

Matthew N. O. Sadiku, Chandra M. M. Kotteti, Abayomi Ajayi-Majebi, & Sarhan M. Musa. (2022). Soft Computing in Decision Support Systems. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 8(2), 153–158. https://doi.org/10.31695/IJASRE.2022.8.2.21

Issue

Vol. 8 No. 2: IJASRE Feb-2022

Section

Articles

License

Copyright (c) 2022 Matthew N. O. Sadiku, Chandra M. M. Kotteti , Abayomi Ajayi-Majebi , Sarhan M. Musa

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.