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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04423-2
Abstract: Existing classification techniques that are proposed previously for eliminating data inconsistency could not achieve an efficient parameter reduction in soft set theory, which effects on the obtained decisions. Meanwhile, the computational cost made during combination…
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Keywords:
reduction;
binary particle;
algorithm;
parameter reduction ... See more keywords
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Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0461-3
Abstract: In this paper, the notion of the interval valued neutrosophic soft set (ivn-soft sets) is defined which is a combination of an interval valued neutrosophic set [35] and a soft set [29]. Our ivn-soft sets…
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Keywords:
interval valued;
soft set;
neutrosophic soft;
valued neutrosophic ... See more keywords
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Published in 2018 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2017.1409159
Abstract: Intuitionistic fuzzy soft set (IFSS) theory is one of the successful extensions of soft set theory for handling the uncertainty in the data by introducing the parametrisation factor during the decision-making process as compared to…
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Keywords:
decision;
intuitionistic fuzzy;
soft set;
decision making ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2846586
Abstract: Interval-valued fuzzy soft set-based decision making and the related parameter reduction algorithms were proposed. However, up to the present, few documents have focused the entire model for evaluation and decision making on real-life applications of…
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Keywords:
interval valued;
soft set;
valued fuzzy;
evaluation system ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896947
Abstract: The study of biological systems is complex and of great importance. There exist numerous approaches to signal transduction processes, including symbolic modeling of cellular adaptation. The use of formal methods for computational biological systems eases…
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Keywords:
biology;
set theory;
decision making;
soft set ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940484
Abstract: The fuzzy soft set (FSS) that combines soft set theory with fuzzy set theory has been introduced to deal with uncertainty in many practical decision-making problems. However, there exist some less important and superfluous information…
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Keywords:
fuzzy soft;
parameter reduction;
reduction;
decision ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3178595
Abstract: The q-rung orthopair fuzzy soft set is an advanced leeway of orthopair fuzzy sets, such as intuitionistic fuzzy soft set (IFSS) and Pythagorean fuzzy soft set (PFSS). The very lax requirement gives the evaluators excessive…
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Keywords:
orthopair fuzzy;
aggregation operators;
rung orthopair;
soft set ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3239675
Abstract: The global agricultural sector is responsible for fulfilling the food requirements of the increasing population around the globe, alongside contributing to 28% of global employment. Drones are used for effective and efficient spray of fertilizers…
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Keywords:
complex linear;
soft set;
linear diophantine;
diophantine fuzzy ... See more keywords
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Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/7211399
Abstract: Similarity measures (SM) and correlation coefficients (CC) are used to solve many problems. These problems include vague and imprecise information, excluding the inability to deal with general vagueness and numerous information problems. The main purpose…
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Keywords:
information;
interval valued;
soft set;
neutrosophic soft ... See more keywords
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Published in 2017 at "Scientia Iranica"
DOI: 10.24200/sci.2017.4433
Abstract: Soft set theory acts as a fundamental tool for handling the uncertainty in the data by adding aparameterized factor during the process as compared to fuzzy as well as intuitionistic fuzzy settheory. In this manuscript,…
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Keywords:
robust aggregation;
intuitionistic fuzzy;
operators multi;
aggregation operators ... See more keywords
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Published in 2019 at "Mathematics"
DOI: 10.3390/math7080742
Abstract: 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…
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Keywords:
fuzzy soft;
intuitionistic fuzzy;
generalized intuitionistic;
decision ... See more keywords