Interval Valued Fuzzy Rough Set Model on Two Different Universes and Its Application

2012 ◽  
pp. 66-72 ◽  
Author(s):  
Hai-Long Yang
Keyword(s):  
Rough Set ◽  
Fuzzy Rough Set ◽  
Interval Valued

Dominance-based fuzzy rough set approach for incomplete interval-valued data

2018 ◽  
Vol 34 (1) ◽  
pp. 423-436 ◽  
Author(s):  
Jianhua Dai ◽  
Yuejun Yan ◽  
Zhaowen Li ◽  
Beishui Liao
Keyword(s):  
Rough Set ◽  
Fuzzy Rough Set ◽  
Interval Valued

Interval-valued dual hesitant fuzzy rough set over two universes and its application

2018 ◽  
Vol 35 (3) ◽  
pp. 3195-3211
Author(s):  
Bingyang Li ◽  
Jianmei Xiao ◽  
Xihuai Wang
Keyword(s):  
Rough Set ◽  
Fuzzy Rough Set ◽  
Two Universes ◽  
Interval Valued

Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory

2017 ◽  
Vol 32 (1) ◽  
pp. 703-710 ◽  
Author(s):  
Jianhua Dai ◽  
Guojie Zheng ◽  
Huifeng Han ◽  
Qinghua Hu ◽  
Nenggan Zheng ◽  
...  
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Fuzzy Rough Set ◽  
Decision Systems ◽  
Probability Approach ◽  
Interval Valued

Fuzzy rough set theory for the interval-valued fuzzy information systems

2008 ◽  
Vol 178 (13) ◽  
pp. 2794-2815 ◽  
Author(s):  
Bingzhen Sun ◽  
Zengtai Gong ◽  
Degang Chen
Keyword(s):  
Information Systems ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Fuzzy Information ◽  
Fuzzy Rough Set ◽  
Interval Valued

scholarly journals Decision Support Methodology Based on Covering-Based Interval-Valued Pythagorean Fuzzy Rough Set Model and Its Application to Hospital Open-Source EHRs System Selection

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Fang Liu ◽  
Ju Wu ◽  
Lianming Mou ◽  
Yi Liu
Keyword(s):  
Rough Set ◽  
Distance Measure ◽  
Fuzzy Topsis ◽  
Fuzzy Information ◽  
Pythagorean Fuzzy Set ◽  
Fuzzy Rough Set ◽  
New Approach ◽  
System Selection ◽  
Pythagorean Fuzzy Numbers ◽  
Interval Valued

The target of current work is to propose a new approach to deal with multiattribute decision-making (MADM) problems with interval-valued Pythagorean fuzzy set (IVPFS) based on the concepts of covering-based rough set (CRS) and TOPSIS and give its application in MADM problems. To begin with, we integrate the fuzzy rough set (FRS), IVPFS and CRS and define the covering-based interval-valued Pythagorean fuzzy rough set (CIVPFRS). Firstly, the relative notions of the CIVPFRS model are introduced. In addition, the distance measure of interval-valued Pythagorean fuzzy numbers (IVPFNs) is defined; based on the proposed distance, the rough and precision degrees of CIVPFRS are discussed. Thirdly, on the basis of the theoretical analysis for CIVPFRS models, an interval-valued Pythagorean fuzzy TOPSIS method is designed to deal with the MADM problems with interval-valued Pythagorean fuzzy information (IVPFI). Last of all, the validity and merits of the proposed approach are illustrated by an example, and the sensitivity analysis of the parameters and the comparison with the existing related methods are carried out.β

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