A New Default Probability Calculation Formula and Its Application under Uncertain Environments by Liang Wu, Xian-bin Mei, Jian-guo Sun

“…This prevents us from determining the size of the shocks accurately. In this study, fuzzy set theory is utilized to study a looping default credit default swap (CDS) pricing model under uncertain environments. …”
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Synergy of governance, finance, and technology for sustainable natural resource management by Md. Mominur Rahman, Md. Emran Hossain

“…Using a panel dataset of 18 nations for 2013–2019 years, we employ a hybrid methodology that integrates Fuzzy-set Qualitative Comparative Analysis (fsQCA), Necessary Condition Analysis (NCA), and econometric modeling. fsQCA is employed to uncover and examine intricate combinations of causal conditions of the researched variables that together contribute to natural resource management. …”
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Constructing a knee osteoarthritis transplant via the neutrality aggregation operators under spherical fuzzy Z-numbers framework by Shahzaib Ashraf, Maria Akram, Subrata Jana, Jungeun Kim, Ibrahim M. Hezam, Chiranjibe Jana

“…Compared to conventional fuzzy set structures, Spherical Fuzzy Zˆ-Number Sets (SFZˆN S) provide an enhanced method for resolving uncertainty in MAGDM and are more suited for handling complicated decision-making situations. …”
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Linear Diophantine Uncertain Linguistic Power Einstein Aggregation Operators and Their Applications to Multiattribute Decision Making by Tahir Mahmood, Izatmand, Zeeshan Ali, Kifayat Ullah, Qaisar Khan, Ahmed Alsanad, Mogeeb A. A. Mosleh

“…Linear Diophantine uncertain linguistic set (LDULS) is a modified variety of the fuzzy set (FS) to manage problematic and inconsistent information in actual life troubles. …”
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Evaluation of Network Security Service Provider Using 2-Tuple Linguistic Complex q-Rung Orthopair Fuzzy COPRAS Method by Sumera Naz, Muhammad Akram, Mohammed M. Ali Al-Shamiri, Muhammad Ramzan Saeed

“…We propose the 2TLCq-ROF concept by combining the complex q-rung orthopair fuzzy set with 2-tuple linguistic terms, including the fundamental definition, operational rules, scoring, and accuracy functions. …”
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High-Performance Computational Early Warning Analysis of Agricultural Economy Relying on Binary Fuzzy Cluster Analysis Algorithm by Fang Tang

“…The definition of interval type-two fuzzy set and its operation are summarized. Considering the uncertain information that will be encountered in the evaluation process, this paper constructs the evaluation model of rural informatization construction performance based on interval type-two fuzzy numbers, which improves the accuracy of the evaluation results. …”
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Exploring high-performance green innovation in China’s logistics companies: a TOE framework based on fsQCA by Shuhua Li, Jiaqi Zhu, Peixian Chen, Zhao Li, Caisheng Liao, Wei Feng

“…Moreover, after employing fuzzy-set Qualitative Comparative Analysis (fsQCA) with data from 83 logistics firms in China, the research examines the complex interplay between technological, organizational, and environmental factors and their strategic influence on green innovation performance. …”
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Configurations associated with the efficiency of the ophthalmology departments in public hospitals of Central South China. by Yimeng Li, Yao Chen, Bosheng Ma, Jyu-Lin Chen, Jie Zhong, Yan Jiang, Jing Luo, Jia Guo

“…Bootstrap Data Envelopment Analysis was conducted to describe the service efficiency status of the ophthalmology departments using Maxdea (version 8.0) software. Then, we employed Fuzzy Set-Qualitative Comparative Analysis to explore the recipes of low-efficiency and high-efficiency ophthalmology departments using Fs-QCA (version 3.0) software.…”
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Set-Word Embeddings and Semantic Indices: A New Contextual Model for Empirical Language Analysis by Pedro Fernández de Córdoba, Carlos A. Reyes Pérez, Claudia Sánchez Arnau, Enrique A. Sánchez Pérez

“…Since we adopt an empirical point of view for the semantic issues, we also provide the keys for the interpretation of the results using probabilistic arguments (to facilitate the subsequent integration of the model into Bayesian frameworks for the construction of inductive tools), as well as in fuzzy set-theoretic terms. We also show some illustrative examples, including a complete computational case using big-data-based computations. …”
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Genetic Fuzzy System untuk Klasifikasi Tutupan Lahan Berdasarkan Foto Udara Unmanned Aerial Vehicle (UAV) by Budi Darma Setiawan, Alfi Nur Rusydi

“…The process consists of two stages, namely the training process, to find good fuzzy rules, and then proceed with tuning processes, namely the process of shifting the value constraints on the membership function of the fuzzy set used. The input of this program is the red (R), green (G), and blue (B) values of each pixel in the image, and the output is the class in which the pixels are grouped (soil, water, vegetation, buildings, and roads). …”
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