Fuzzy rough set models over two universes using textures

2021 ◽  
Author(s):  
Murat Diker ◽  
Ayşegül Altay Uğur
Keyword(s):  
Rough Set ◽  
Fuzzy Rough Set ◽  
Two Universes

Hesitant fuzzy rough set over two universes and its application in decision making

2015 ◽  
Vol 21 (7) ◽  
pp. 1803-1816 ◽  
Author(s):  
Haidong Zhang ◽  
Lan Shu ◽  
Shilong Liao
Keyword(s):  
Decision Making ◽  
Rough Set ◽  
Fuzzy Rough Set ◽  
Two Universes

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

Customer Choice of Super Markets using Fuzzy Rough Set on Two Universal Sets and Radial Basis Function Neural Network

2016 ◽  
Vol 12 (3) ◽  
pp. 20-37 ◽  
Author(s):  
A. Anitha ◽  
Debi Prasanna Acharjya
Keyword(s):  
Neural Network ◽  
Information System ◽  
Radial Basis Function ◽  
Rough Set ◽  
Basis Function ◽  
Real Life ◽  
Customer Choice ◽  
Fuzzy Rough Set ◽  
Radial Basis ◽  
Two Universes

Information and communication technology made shopping more convenient for common man. Additionally, customers compare both online and offline price of a commodity. For this reason, offline shopping markets think of customer satisfaction and try to attract customers by various means. But, prediction of customer's choice in an information system is a major issue today. Much research is carried out in this direction for single universe. But, in many real life applications it is observed that relation is established between two universes. To this end, in this paper the authors propose a model to identify customer choice of super markets using fuzzy rough set on two universal sets and radial basis function neural network. The authors use fuzzy rough set on two universal sets on sample data to arrive at customer choice of super markets. The information system with customer choice is further trained with radial basis function neural network for identification of customer choice of supermarkets when customer size increases. A real life problem is presented to show the sustainability of the proposed model.

scholarly journals Multi-Granulation Picture Hesitant Fuzzy Rough Sets

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 362 ◽  
Author(s):  
Bibin Mathew ◽  
Sunil Jacob John ◽  
José Carlos R. Alcantud
Keyword(s):  
Rough Set ◽  
Rough Sets ◽  
Fuzzy Relations ◽  
Fuzzy Rough Sets ◽  
Fuzzy Rough Set ◽  
Standard Format ◽  
Two Universes ◽  
Novel Model ◽  
Theoretical Foundations

We lay the theoretical foundations of a novel model, termed picture hesitant fuzzy rough sets, based on picture hesitant fuzzy relations. We also combine this notion with the ideas of multi-granulation rough sets. As a consequence, a new multi-granulation rough set model on two universes, termed a multi-granulation picture hesitant fuzzy rough set, is developed. When the universes coincide or play a symmetric role, the concept assumes the standard format. In this context, we put forward two new classes of multi-granulation picture hesitant fuzzy rough sets, namely, the optimistic and pessimistic multi-granulation picture hesitant fuzzy rough sets. Further, we also investigate the relationships among these two concepts and picture hesitant fuzzy rough sets.

scholarly journals A fuzzy rough set approach to emergency material demand prediction over two universes

2013 ◽  
Vol 37 (10-11) ◽  
pp. 7062-7070 ◽  
Author(s):  
Bingzhen Sun ◽  
Weimin Ma ◽  
Haiyan Zhao
Keyword(s):  
Rough Set ◽  
Fuzzy Rough Set ◽  
Demand Prediction ◽  
Two Universes

Fuzzy rough set models over two universes

2012 ◽  
Vol 4 (6) ◽  
pp. 631-645 ◽  
Author(s):  
Weihua Xu ◽  
Wenxin Sun ◽  
Yufeng Liu ◽  
Wenxiu Zhang
Keyword(s):  
Rough Set ◽  
Fuzzy Rough Set ◽  
Two Universes
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