Enhanced Decision Support System Applications Based on Complex Intuitionistic Fuzzy Soft Expert Sets Theory
Malek Alksasbeh, Mohammad Al-kaseasbeh, Saba Al-Kaseasbeh, Khalid Alemerien and Bassam A. Alqaraleh
Journal of Computer Science
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.
© 2017 Malek Alksasbeh, Mohammad Al-kaseasbeh, Saba Al-Kaseasbeh, Khalid Alemerien and Bassam A. Alqaraleh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.