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Soft discernibility matrix and its applications in decision making

Applied Soft Computing, 2014
Graphical abstractDisplay Omitted HighlightsThe aim of this paper is to solve the problem of decision makings by introducing soft discernibility matrix in soft sets.The notion of soft discernibility matrix is firstly introduced in soft sets.An novel algorithm based on the soft discernibility matrix is proposed to solve the problems of decision making ...
Qinrong Feng, Ying Zhou
openaire   +3 more sources

Parallel attribute reduction algorithm for unlabeled data based on fuzzy discernibility matrix and soft deletion behavior

Information Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haotong Wen, Yi Xu, Meishe Liang
openaire   +3 more sources

Soft Set-based Parameter Reduction Algorithm Through a Discernibility Matrix and the Hybrid Approach for the Risk-Factor Prediction of Cardiovascular Diseases by Various Machine Learning Techniques

Pertanika Journal of Science and Technology, 2023
Parameter reduction without performance degradation is a promising task in decision-making problems. For instance, a great challenge exists in constructing cost functions in gaming theory. Nevertheless, soft set theory handles all its drawbacks conveniently through a new tool for the choice function mathematically.
Menaga Anbumani, Kannan Kaniyaiah
openaire   +1 more source

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.
Feng, Qinrong, Wang, Fenfen
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.
Khan, Muhammad Jabir   +4 more
openaire   +1 more source

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

Soft‐tissue sarcoma in adults: An update on the current state of histiotype‐specific management in an era of personalized medicine

Ca-A Cancer Journal for Clinicians, 2020
Adriana C Gamboa   +2 more
exaly  

Staging Soft Tissue Sarcoma: Evolution and Change

Ca-A Cancer Journal for Clinicians, 2006
Alexander J F Lazar   +1 more
exaly  

Soft Tissue Sarcomas

Ca-A Cancer Journal for Clinicians, 2004
Raphael Etomar Pollock, Janice Cormier
exaly  

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