A Novel Approach Toward Roughness of Bipolar Soft Sets and Their Applications in MCGDM
The uncertainty in the data is an obstacle in decision-making (DM) problems. In order to solve problems with a variety of uncertainties a number of useful mathematical approaches together with fuzzy sets, rough sets, soft sets, bipolar soft sets have been developed. The rough set theory is an effect...
Main Authors: | Rizwan Gul, Muhammad Shabir, Munazza Naz, Muhammad Aslam |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9551207/ |
Similar Items
-
Soft pre-rough sets and its applications in decision making
by: M. El Sayed, et al.
Published: (2020-09-01) -
A Comparison of Promethee and TOPSIS Techniques Based on Bipolar Soft Covering-Based Rough Sets
by: Faiza Tufail, et al.
Published: (2022-01-01) -
Pythagorean fuzzy soft rough sets and their applications in decision-making
by: Azmat Hussain, et al.
Published: (2020-01-01) -
A Study on Soft Multi-Granulation Rough Sets and Their Applications
by: Saba Ayub, et al.
Published: (2022-01-01) -
Medical diagnosis for the problem of Chikungunya disease using soft rough sets
by: Mostafa K. El-Bably, et al.
Published: (2023-02-01)