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Research Article · Open access · Published 27 November 2017

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

Journal of Computer Science, Volume 14, Issue 5, pp. 601–612 · doi.org/10.3844/jcssp.2018.601.612

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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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Enhanced Decision Support System Applications Based on Complex Intuitionistic Fuzzy Soft Expert Sets TheoryJournal of Computer Science · Volume 14, Issue 5 · pp. 601–612 · CC BY 3.0Download