Results 241 to 250 of about 2,610,867 (326)

New Method of Discernibility Matrix Formation

Advanced Materials Research, 2013
Aiming at the defect of the discernibility matrix formation, the three-process space-time function is analyzed, and the method is put forward which corresponding new elements dont involve the formation of discernibility matrix or the existed element is deleted, that is the method of discernibility matrix minimum formation. The algorithm of formation is
Q. Meng
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Evaluation of discernibility matrix based reduct computation techniques

2013 5th International Conference on Computer Science and Information Technology, 2013
Rough set theory provides some principles that are used for data classification and knowledge reduction. Reduct is one of the main concepts that can be used for feature set reduction and for data classification. Finding the reduct set is computationally expensive for data sets with large number of attributes.
Enas A. AliKhashashneh, Qasem A. Al-Radaideh   +1 more
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Dimensionality reduction of EEG signal using Fuzzy Discernibility Matrix

2017 10th International Conference on Human System Interactions (HSI), 2017
High dimensionality of feature space is a problem in supervised machine learning. Redundant or superfluous features either slow down the training process or dilute the quality of classification. Many methods are available in literature for dimensionality reduction.
Rajdeep Chatterjee, Tathagata Bandyopadhyay, Debarshi Kumar Sanyal, Dibyajyoti Guha   +3 more
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Exhaustive Search with Belief Discernibility Matrix and Function

Canadian Conference on AI, 2013
This paper proposes a new feature selection method based on rough sets to take away the unnecessary attributes for the classification process from partially uncertain decision system. The uncertainty exists only in the decision attributes (classes) and is represented by the belief function theory.
Salsabil Trabelsi, Zied Elouedi, Pawan Lingras   +2 more
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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
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Heuristic for Attribute Selection Using Belief Discernibility Matrix

Rough Sets and Knowledge Technology, 2012
This paper proposes a new heuristic attribute selection method based on rough sets to remove the superfluous attributes from partially uncertain data. We handle uncertainty only in decision attributes (classes) under the belief function framework.
Salsabil Trabelsi, Zied Elouedi, Pawan Lingras   +2 more
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The Improved Discernibility Matrix Based on Decision Vector

2013
Skowron’s discernibility matrix is the evolvement of the attribute reduction models under algebra view. Aiming at the generating process of discernibility matrix, this paper simplifies decision system by introducing decision vector, and designs an improved discernibility matrix, which is capable of suiting inconsistency of decision system, as well as ...
Jingfu Li, Denghui Bu
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Predicting the Survival Status of Patient after Bone Marrow Transplant Using Fuzzy Discernibility Matrix

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON), 2023
Bone Marrow Transplant (BMT), also known as Stem Cell Transplant, is a type of medical treatment in which bone marrow having unhealthy cells is replaced by healthy cells.
M. Gourisaria, Ayush V. Patel, Rajdeep Chatterjee, B. Sahoo   +3 more
semanticscholar   +1 more source

Attribute reduction with discernibility matrix approaches

2012 24th Chinese Control and Decision Conference (CCDC), 2012
With the large number of attributes, reduction of its attributes is a crucial step in the clustering analysis of data The main task of the present work is to construct a novel clustering analysis method motivated by the fundamental idea from information system, the computer simulation shows that the reduction of attributes gives a better accuracy of ...
null Lishi Zhang, null Shengzhe Gao
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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 ...
Muhammad Jabir Khan, Poom Kumam, Peide Liu, W. Kumam, H. Rehman   +4 more
semanticscholar   +1 more source