Enhanced Decision Support System Applications Based on Complex Intuitionistic Fuzzy Soft Expert Sets Theory
Malek Alksasbeh1, Mohammad Al-kaseasbeh2, Saba Al-Kaseasbeh3, Khalid Alemerien3 & Bassam A. Alqaraleh1 Show affiliations
- Al-Hussein Bin Talal University, Jordan
- Jerash University, Jordan
- Tafila Technical University, Jordan
Journal of Computer Science, Volume 14, Issue 5, pp. 601–612 · doi.org/10.3844/jcssp.2018.601.612
Abstract
Decision making is one of the important milestones in the development of various real-life aspects. Decision Support System (DSS) is a computerized information system used to enhance decision-making in several areas. This study aims to improve DSS applications by extending two concepts of complex intuitionistic fuzzy sets and soft expert sets to propose the theory of complex intuitionistic fuzzy soft expert sets and defines some related concepts pertaining to this notion as well as the basic operations on this concept. Moreover, the algorithm for such concept is developed.
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Alksasbeh, M., Al-kaseasbeh, M., Al-Kaseasbeh, S., Alemerien, K. & Alqaraleh, B. A. (2018). Enhanced Decision Support System Applications Based on Complex Intuitionistic Fuzzy Soft Expert Sets Theory. Journal of Computer Science, 14(5), 601–612. https://doi.org/10.3844/jcssp.2018.601.612
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