A Variable Precision Covering-Based Rough Set Model Based on Functions by Yanqing Zhu, William Zhu

“…Classical rough set theory is a technique of granular computing for handling the uncertainty, vagueness, and granularity in information systems. …”
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Score-Valued Decision Making Models Based on Inverse Soft Matrices by Seda Erdinç, Emin Aygün

“…In this work, we introduce some useful concepts  in soft set theory, such as $\overline{\alpha}$-inverse intersection and  $\overline{\alpha}$-inverse union of inverse soft sets, together with  the type soft $\overline{\alpha}$-upper, $\overline{\alpha}$-lower, $\overline{\alpha}$-intersection and $\overline{\alpha}$-union of inverse soft matrices.  …”
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Fuzzy B-Spline Surface Modeling by Rozaimi Zakaria, Abd. Fatah Wahab, R. U. Gobithaasan

“…The construction of this model is based on fuzzy set theory which is based on fuzzy number and fuzzy relation concepts. …”
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Intuitionistic Fuzzy Soft Rough Set and Its Application in Decision Making by Haidong Zhang, Lan Shu, Shilong Liao

“…The soft set theory, originally proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. …”
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Establishing a Novel Algorithm for Highly Responsive Storage Space Allocation Based on NAR and Improved NSGA-III by Peijian Wu, Yulu Chen

“…Subsequently, we used the improved NSGA-III based on good point set theory to construct a multiobjective optimization model to minimize resource loss, maximize efficiency in goods selection, and maximize goods accumulation. …”
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A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm by Erol Eğrioğlu

“…Some of these methods use the classical fuzzy set theory, which needs complex matricial operations in fuzzy time series methods. …”
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Dynamics of a Predator-Prey System with Beddington-DeAngelis Functional Response and Delays by Nai-Wei Liu, Ting-Ting Kong

“…Finally, by using comparison theorem and the ω-limit set theory, we study the global asymptotic stability of the boundary equilibrium and the positive equilibrium, respectively. …”
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Periodic Solution for a Max-Type Fuzzy Difference Equation by Changyou Wang, Jiahui Li

“…Firstly, the fuzzy set theory is used to transform the fuzzy difference equation into the corresponding ordinary difference equations with parameters. …”
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Decision Analysis via Granulation Based on General Binary Relation by M. M. E. Abd El-Monsef, N. M. Kilany

“…There are several methodologies that may be used to determine the best decision. In rough set theory, the classification of objects according to approximation operators can be fitted into the Bayesian decision-theoretic model, with respect to three regions (positive, negative, and boundary region). …”
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Supplier Selection Group Decision Making in Logistics Service Value Cocreation Based on Intuitionistic Fuzzy Sets by Qifeng Wang, Hongbo Lv

“…Intuitionistic fuzzy information aggregation plays an important role in intuitionistic fuzzy set theory and is widely used in group decision making. …”
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The Principle of Mathematical Induction: Applications in Physical Optics by Joseph Ivin Thomas

“…In the contemporary university milieu, the demonstrative scheme is taught as part of a course in discrete mathematics, set theory, number theory, graph theory, group theory, game theory, linear algebra, logic, and combinatorics. …”
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Novel Evaluation of Fuzzy Fractional Cauchy Reaction-Diffusion Equation by Nehad Ali Shah, Essam R. El-Zahar, Hina M. Dutt, Mohammad Asif Arefin

“…The suggested technique looks at fuzzy set theory to figure out how to solve the fuzzy Cauchy reaction-diffusion equations. …”
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New Types of μ-Proximity Spaces and Their Applications by Rodyna A. Hosny, Tareq M. Al-shami, Abdelwaheb Mhemdi

“…Near set theory supplies a major basis for the perception, differentiation, and classification of elements in classes that depend on their closeness, either spatially or descriptively. …”
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Correction of requests in the information system decision support by S. F. Lipnitsky

“…At the same time, three main goals are pursued: building of a generalized information retrieval model, development of algorithms for pre-search query correction and development of algorithms for post-search query correction.Methods. Methods of set theory and probability theory are used.Results. …”
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EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution by Sangseob Leem, Taesung Park

“…Among those expansions, fuzzy-MDR uses the fuzzy set theory for the membership of high risk or low risk and increases the detection rates of gene-gene interactions. …”
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Cooperative Fuzzy Games Approach to Setting Target Levels of ECs in Quality Function Deployment by Zhihui Yang, Yizeng Chen, Yunqiang Yin

“…A cooperative game framework combined with fuzzy set theory is developed to determine the target levels of the ECs in QFD. …”
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State Classification for Humanoid Robots by Jialun Yang, Feng Gao, Lifeng Shi, Zhenlin Jin

“…Furthermore, generalised function (GF) set theory is applied with the aim of analysing the kinematic characteristics of the end effectors for each state, and meaningful names are assigned for each state. …”
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Credit Index Screening Model of Family Farms and Family Ranches Based on Fuzzy Bayesian Theory of Depth Weighting by Zhanjiang Li, Qinjin Zhang

“…In this paper, the characteristics of the first one is based on fuzzy set theory, the definition of fuzzy linguistic assessment of different default set, family ranches characteristic is converted to the corresponding index of pasting with triangular fuzzy mathematical model, and then through the inner method converting triangular fuzzy number into accurate output data to deal with the blur and uncertainty about the state of the fuzzy default transformation is realized. …”
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Multiagent Systems as an Approach to Building Fuzzy voter Communities using fuzzy languages by Milambu Belangany, Pierre Kasengadia Motumbe, Eugène Mbuyi Mukendi

“…This paper explores the use of fuzzy set theory to model the behavior of voters in a multi-agent electoral environment. …”
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