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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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Journal of Food and Drug Analysis, 2013 The "Harm Reduction" session was chaired by Dr. Jacques Normand, Director of the AIDS Research Program of the U.S. National Institute on Drug Abuse. The three presenters (and their presentation topics) were: Dr. Don Des Jarlais (High Coverage Needle/Syringe Programs for People Who Inject Drugs in Low and Middle Income Countries: A Systematic Review ...
Normand, Jacques +3 more
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Reductive evolution and genomic reduction in Rhodopseudomonas
Applied and Environmental MicrobiologyABSTRACT Rhodopseudomonas palustris is renowned for its metabolic versatility, supported by a genome that contains pathways for numerous processes. In a recent study, Oda et al. (Appl Environ Microbiol 91:e02056-24, 2025, https:
Brian M. Gallagher +2 more
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An Investigation of β-Reduct Selection within the Variable Precision Rough Sets Model
, 2001 The Variable Precision Rough Sets Model (VPRS) is an extension of the original Rough Set Theory. To employ VPRS analysis the decision maker (DM) needs to define satisfactory levels of quality of classification and β (confidence) value.
Beynon, Malcolm James, Malcolm Beynon
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Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets
Journal of Applied Mathematics, 2013 Covering is a widely used form of data structures. Covering-based rough set theory provides a systematic approach to this data. In this paper, graphs are connected with covering-based rough sets.
Shiping Wang +3 more
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Simpli ed reduct for choice rules in ASP
, 2015 The accepted de nitions of the semantics of choice rules in Answer Set Programming (ASP) involve a translation by inventing new atoms which do not occur in the original program.
Russo, Alessandra
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From Reduction-Based to Reduction-Free Normalization
BRICS Report Series, 2004 We present a systematic construction of a reduction-free normalization function. Starting from a reduction-based normalization function, i.e., the transitive closure of a one-step reduction function, we successively subject it to refocusing (i.e., deforestation of the intermediate reduced terms), simplification (i.e., fusing auxiliary functions ...
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, 2004 One area of study in rough set theory is the ability to select a subset of the condition attributes which adequately describe an information system.
Beynon, Malcolm James, Malcolm J. Beynon
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Feature Diminution by Ant Colonized Relative Reduct Algorithm for improving the Success Rate for IVF Treatment [PDF]
, 2017 Infertility is the most common problem faced by today’s generation. The factors like environment, genetic or personal characteristics are responsible for these problems. Different infertility treatments like IVF, IUI etc are used to treat those infertile
, Dr. M. Durairaj, Nandhakumar Ramasamy
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Gamut Reduction Through Local Saturation Reduction
Color and Imaging Conference, 2017 This work was supported by the European Research Council, Starting Grant ref. 306337, by the Spanish government and FEDER Fund, grant ref. TIN2015-71537-P (MINECO/FEDER,UE), and by the Icrea Academia Award. The work of Javier Vazquez-Corral was supported by the Spanish government grant IJCI-2014-19516.
Zamir, Syed Waqas +2 more
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