Search Result "rough fuzzy approximation"
Rough Fuzzy Set in Incomplete Fuzzy Information System Based on Similarity Dominance Relation
Journal: Recent Patents on Computer Science
Volume: 2 Issue: 1 Year: 2009 Page: 68-74
Author(s): Xibei Yang, Lihua Wei, Dongjun Yu, Jingyu Yang
Fabrics Recommendation for Fashion Design by Using Fuzzy Logic andRough Sets
Journal: Journal of Fuzzy Logic and Modeling in Engineering
Volume: 1 Issue: 1 Year: 2022 Page: 38-45
Author(s): Min Dong,Xianyi Zeng,Ludovic Koehl,Junjie Zhang
A Robust Fuzzy Decision Making on Global Warming
Journal: Journal of Fuzzy Logic and Modeling in Engineering
Volume: 1 Issue: 1 Year: 2022 Page: 11-20
Author(s): Kousik Bhattacharya,Sujit Kumar De,Prasun Kumar Nayak
A Survey of Control Methods for Electrical Discharge Machining Process
Journal: Recent Patents on Electrical & Electronic Engineering
Volume: 6 Issue: 1 Year: 2013 Page: 7-28
Author(s): Howard K.H. Ip, Reza Hoseinnezhad, John Mo, Milan Brandt
A Hybrid Binary Cuckoo Search and Genetic Algorithm for Feature Selection in Type-2 Diabetes
Journal: Current Bioinformatics
Volume: 11 Issue: 4 Year: 2016 Page: 490-499
Author(s): Ramasamy R. Rajalaxmi
Automated Detection of Breast Tumor in Different Imaging Modalities: A Review
Journal: Current Medical Imaging
Volume: 13 Issue: 2 Year: 2017 Page: 121-139
Author(s): Bushra Mughal,Muhammad Sharif
A Survey on the Prevalence of Cataract and its Accompanying Risk Factors
Journal: Current Medical Imaging
Volume: 14 Issue: 2 Year: 2018 Page: 251-262
Author(s): Rumsha Zafar,Muhammad Sharif,Mussarat Yasmin
Illumination Optimization for Quasi-Tombstone Detection
Journal: Micro and Nanosystems
Volume: 2 Issue: 3 Year: 2010 Page: 149-162
Author(s): Mihaly Janoczki, Andras Borbiro, Sandor Nagy, Laszlo Jakab
The Advance of the Intelligent Instrument Applied in an Online Equipment Monitoring System
Ebook: Modern Intelligent Instruments - Theory and Application
Volume: 1 Year: 2020
Author(s): Changjian Deng
Doi: 10.2174/9789811460265120010012
Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Volume: 1 Year: 2022
Author(s): Nipun R. Navadia
Doi: 10.2174/9789815036060122010003