Uncertainty Analysis of Knowledge Reductions in Rough Sets by Ying Wang, Nan Zhang

“…Uncertainty analysis is a vital issue in intelligent information processing, especially in the age of big data. Rough set theory has attracted much attention to this field since it was proposed. …”
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Delphi Fuzzy Elicitation Technique in the Determination of Third Party Failure Probability of Onshore Transmission Pipeline in the Niger Delta region of Nigeria by GO Ariavie, GC Ovuworie

“…@JASEM Keywords: Delphi technique, onshore transmission pipeline, Fuzzy set theory,  third party activities, …”
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Delphi Fuzzy Elicitation Technique in the Determination of Third Party Failure Probability of Onshore Transmission Pipeline in the Niger Delta region of Nigeria by GO Ariavie, GC Ovuworie

“…@JASEM Keywords: Delphi technique, onshore transmission pipeline, Fuzzy set theory,  third party activities, …”
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Type-2 Fuzzy Soft Sets and Their Applications in Decision Making by Zhiming Zhang, Shouhua Zhang

“…This paper aims to introduce the concept of the type-2 fuzzy soft set by integrating the type-2 fuzzy set theory and the soft set theory. Some operations on the type-2 fuzzy soft sets are given. …”
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Multigranulations Rough Set Method of Attribute Reduction in Information Systems Based on Evidence Theory by Minlun Yan

“…Attribute reduction is one of the most important problems in rough set theory. However, from the granular computing point of view, the classical rough set theory is based on a single granulation. …”
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A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables by Hua Li, Deyu Li, Yanhui Zhai, Suge Wang, Jing Zhang

“…In this study, we propose a variable precision attribute reduct for multilabel data based on rough set theory, called δ-confidence reduct, which can correctly capture the uncertainty implied among labels. …”
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Analysis of International Competitiveness of Multinational Corporations Based on Rough Sets by Jing Zhao, Ning Qi

“…Formulation of rules and evaluation of system uncertainty: Appropriate decisions can be made based on this. Rough set theory is a new mathematical tool to deal with uncertain knowledge. …”
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Failure Probability Analysis of Coherent Systems using Intuitionistic Fuzzy Fault Tree Approach by Mintu Kumar, S. B. Singh, Monika Manglik

“…Therefore, in the current study, the intuitionistic fuzzy set theory is proposed to handle the inherent uncertainty in reliability assessments. …”
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A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic by F.S. Alavipoor, S. Karimi, J. Balist, A.H. Khakian

“…In the next step, the fuzzy set theory is used to standardize criteria through different fuzzy membership functions and fuzzy layers are formed by using fuzzy operators in ArcGIS environment. …”
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Evaluation of the Performance Degradation of Hybrid Steel-Polypropylene Fiber Reinforced Concrete under Freezing-Thawing Conditions by Daming Luo, Yan Wang, Ditao Niu

“…Quantified by fuzzy rough set theory, the weights of the factors affecting the frost resistance of HSPFRC are 0.50 (number of F-T cycles) > 0.35 (SF content) > 0.15 (PF content), verifying the experimental results.…”
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The Prediction of Metro Shield Construction Cost Based on a Backpropagation Neural Network Improved by Quantum Particle Swarm Optimization by Lanjun Liu, Denghui Liu, Han Wu, Xinyu Wang

“…In this study, we used the rough set theory, a backpropagation (BP) neural network, and quantum particle swarm optimization (QPSO) to establish a prediction model for predicting the metro shield construction costs. …”
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An Innovative Approach of N-Soft Quotient Topological Space by G. Kabin Antony, M. Lellis Thivagar, B. Tamilarasan, Mequanint Birhan

“…In the many approaches to soft set theory, the theory of N-soft topological space is a key component of studying topology. …”
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Soft Congruence Relations over Rings by Xiaolong Xin, Wenting Li

“…In this paper, we initiate the study of soft congruence relations by using the soft set theory. The notions of soft quotient rings, generalized soft ideals and generalized soft quotient rings, are introduced, and several related properties are investigated. …”
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An Algorithm to Select the Optimal Program Based on Rough Sets and Fuzzy Soft Sets by Liu Wenjun, Li Qingguo

“…In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter according to rough set theory; thirdly, combining subjective bias, we give an algorithm to obtain the comprehensive weight of each parameter; at last, we put forward a method to choose the optimal program. …”
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On Generalised Interval-Valued Fuzzy Soft Sets by Xiaoqiang Zhou, Qingguo Li, Lankun Guo

“…Soft set theory, initiated by Molodtsov, can be used as a new mathematical tool for dealing with imprecise, vague, and uncertain problems. …”
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User-Centric Design for Mathematical Web Services by Adlin Sheeba, Chandrasekar Arumugam

“…In particular, this paper focuses on mathematical web services for prepositional logic and set theory which comes under discrete mathematics. A sophisticated user interface with virtual keyboard is created for accessing web services. …”
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Pawlak Algebra and Approximate Structure on Fuzzy Lattice by Ying Zhuang, Wenqi Liu, Chin-Chia Wu, Jinhai Li

“…Then we study the properties of transitive closure of approximation operators and apply them to rough set theory. We also investigate molecule Pawlak algebra and obtain some related properties.…”
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Rough Hyperfilters in Po-LA-Semihypergroups by Ferdaous Bouaziz, Naveed Yaqoob

“…Furthermore, we study the combination of rough set theory and hyperfilters of an ordered LA-semihypergroup. …”
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Generalized Trapezoidal Fuzzy Soft Set and Its Application in Medical Diagnosis by Haidong Zhang, Lan Shu, Shilong Liao

“…Soft set theory is a newly emerging mathematical tool to deal with uncertain problems. …”
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