Results 1 to 10 of about 102 (83)
Soft Incomplete Discernibility Matrix for Decision-Making Problems
IEEE Access, 2018 Many decision-making processes are determined in an incomplete data environment. The analysis of decision-making problems on incomplete soft set data is usually performed by first estimating incomplete values.
Lue Li +3 more
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Soft discernibility matrix and attribute reduction for information systems
Tongxin xuebao, 2009 A new concept of soft discernibility matrix was proposed, and related theorems were given. By using soft discernibility matrix,attribute reductions of incomplete information systems, fuzzy value information systems and vague sets value information ...
YAN De-qin1, LI Ke-qiu2, CHI Zhong-xian2
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Another View on Picture Fuzzy Soft Sets and Their Product Operations with Soft Decision-Making
Journal of New Theory, 2022 Cuong [Picture Fuzzy Sets, Journal of Computer Science and Cybernetics 30 (4) (2014) 409–420] has introduced the concept of picture fuzzy soft sets (pfs-sets) relying on his definition and operations of picture fuzzy sets (pf -sets), in which there exist
Samet Memiş
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Characterizations for Matrices of Dominant Support Parameters in Soft Sets
IEEE Access, 2020 The matrix of dominant support parameters plays an important role in solving the normal and pseudo parameter reduction problems for soft sets. This article aims to make a fundamental investigation on the properties of matrix of dominant support ...
Banghe Han +3 more
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Mathematics, 2019 The basic idea underneath the generalized intuitionistic fuzzy soft set is very constructive in decision making, since it considers how to exploit an extra intuitionistic fuzzy input from the director to make up for any distortion in the information ...
Muhammad Jabir Khan +4 more
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Journal of Intelligent & Fuzzy Systems, 2015 Abstract In this work, we first define picture fuzzy soft sets and study some of their relevant properties, especially, a sufficient and necessary condition is presented to ensure that the dual laws are true in picture fuzzy soft theory. We then introduce an algorithm based on adjustable soft discernibility matrix by using level soft set of a
Yang, Yong +3 more
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An Algorithm on the Parameter Reduction of Soft Sets
Fuzzy Information and Engineering, 2016 Soft set theory is a mathematical tool for dealing with uncertain. In this paper, the parameter reduction of soft sets is investigated by means of the attribute reduction in information systems and its algorithm is obtained. Moreover, an example is given
Ning-Xin Xie
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Application of Rough Set Theory in Fault Diagnosis of Roller Bearing
Gong-kuang zidonghua, 2010 Rough set is a soft computing method which needn’t any validated knowledge and theoretics deducing,just depends on original data,and it aims at discovering latent laws and rules.Its core task is reducing data in order to get the simplest decision rules ...
MIN Yong~(, 2), GUO Yi-nan~
doaj
Analysis of Magnetic Field Measurements for Indoor Positioning. [PDF]
Sensors (Basel), 2022 Ouyang G, Abed-Meraim K.
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Blockchain knowledge selection under the trapezoidal fermatean fuzzy number. [PDF]
Soft comput, 2023 Fahmi A, Maqbool Z, Amin F, Aslam M.
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