Results 201 to 210 of about 2,300,178 (218)

A discernibility matrix approach to fuzzy soft sets based decision making problems

Intelligent Data Analysis, 2018
Soft set theory can be used as a general mathematical tool for dealing with uncertainty. Fuzzy soft set is a combination of fuzzy set and soft set. There has some progress associated with practical applications of fuzzy soft set theory, especially the use of fuzzy soft sets in decision making.
Qinrong Feng, Fenfen Wang
openaire   +1 more source

An adjustable weighted soft discernibility matrix based on generalized picture fuzzy soft set and its applications in decision making

Journal of Intelligent & Fuzzy Systems, 2019
 The basic idea underneath the generalized picture fuzzy soft set is very constructive in decision-making, since it considers, how to exploit an extra picture fuzzy input from the director to make up for any distortion in the information provided by the evaluation experts, which is defined by Khan et al.
Muhammad Jabir Khan, Poom Kumam, Peide Liu, Wiyada Kumam, Habib ur Rehman   +4 more
openaire   +2 more sources

Weighted Soft Discernibility Matrix with Deep Learning Assisted Face Mask Detection for Smart City Environment

International Journal of Neutrosophic Science
For smart cities to succeed, substantial developments to take place in roads, city streets, public transportation, houses, businesses, and other aspects of city life must be drawn up. In today’s world, there is a crucial necessity for effective management of cities to reduce the effect of COVID19 disease with increasing population in cities.
Imène Issaouı, Afef Selmi
openaire   +1 more source

Discernibility matrix based incremental feature selection on fused decision tables

International Journal of Approximate Reasoning, 2020
Xizhao Wang, Suyun Zhao
exaly  

Discernibility matrix simplification for constructing attribute reducts

Information Sciences, 2009
Yiyu Yao
exaly  

Discernibility matrix based incremental attribute reduction for dynamic data

Knowledge-Based Systems, 2018
Jiye Liang, Junbiao Cui, Yijun Sun
exaly  

On attribute reduction in concept lattices: Methods based on discernibility matrix are outperformed by basic clarification and reduction

Information Sciences, 2017
Jan Konecny
exaly  

Compressed binary discernibility matrix based incremental attribute reduction algorithm for group dynamic data

Neurocomputing, 2019
Tengfei Zhang, Fumin Ma, Jie Cao
exaly  

An Efficient Algorithm for Pawlak Reduction Based on Simplified Discernibility Matrix

Fuzzy Information and Engineering, 2010
Bing-Ru Yang
exaly  

On attribute reduction in concept lattices: The polynomial time discernibility matrix-based method becomes the CR-method

Information Sciences, 2019
Jan Konecny, Petr Krajca
exaly