A Fuzzy Rough Set Model Based on Reliability Over Dual-Universe and Its Applications

• Main Authors: Yabin Shao, Xiaoding Qi, Zengtai Gong
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: Decision-making method; fuzzy rough entropy; reliability; rough set; similarity degree
• Online Access: https://ieeexplore.ieee.org/document/8691438/

In this paper, using the weak fuzzy similarity relation, we propose a new similarity degree which describes the relationships between the 2-tuples in U × V. In addition, we propose the reliability of each 2-tuples and use this reliability to give the calculation method of the similarity degree between the 2-tuples and the approximation set X. Using this similarity degree, a new fuzzy rough set model is proposed. Furthermore, a new fuzzy rough entropy which describing the knowledge information in the dual-universe U × V is defined. Then, we present a decision-making model to solve the problems, in which the elements in two different universes have different attributes. Finally, we give a significant algorithm which is applied to a decision-making problem in the dual-universe, and the effectiveness of this algorithm is verified by a numerical example.