Study and Analysis of Barriers for Implementation of Industry 4.0 Technologies Using Spherical Fuzzy TOPSIS Method by Akshay Kumar, Chimata Murli Krishna

“…A multicriteria decision-making (MCDM) model is formulated and is solved by using a proposed methodology involving interval-valued spherical fuzzy sets (IVSF) based TOPSIS method. The results indicate that high investment, communication between operational and information technologies, and the resistance of employees to change prove to be potential barriers for the manufacturing industry in developing countries. …”
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Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection by Jian Lin, Fanyong Meng, Riqing Chen, Qiang Zhang

“…Many applications of intuitionistic fuzzy sets depend on ranking or comparing intuitionistic fuzzy numbers. …”
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Hesitant Fuzzy Soft Subalgebras and Ideals in BCK/BCI-Algebras by Young Bae Jun, Sun Shin Ahn, G. Muhiuddin

“…As a link between classical soft sets and hesitant fuzzy sets, the notion of hesitant fuzzy soft sets is introduced and applied to a decision making problem in the papers by Babitha and John (2013) and Wang et al. (2014). …”
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A Novel Regret Theory-Based Decision-Making Method Combined with the Intuitionistic Fuzzy Canberra Distance by Haiping Ren, Yunxiao Gao, Tonghua Yang

“…At first, a new distance of intuitionistic fuzzy sets is put forward based on the traditional Canberra distance. …”
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Neutrosophic cubic Heronian mean operators with applications in multiple attribute group decision-making using cosine similarity functions by Muhammad Gulistan, Mutaz Mohammad, Faruk Karaaslan, Seifedine Kadry, Salma Khan, Hafiz Abdul Wahab

“…These operators actually generalize the operators of fuzzy sets, cubic sets, and neutrosophic sets. We investigate the average weighted operator on neutrosophic cubic sets and weighted geometric operator on neutrosophic cubic sets to aggregate the neutrosophic cubic information. …”
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Hesitant Fuzzy Linguistic Multicriteria Decision-Making Method Based on Generalized Prioritized Aggregation Operator by Jia-ting Wu, Jian-qiang Wang, Jing Wang, Hong-yu Zhang, Xiao-hong Chen

“…Based on linguistic term sets and hesitant fuzzy sets, the concept of hesitant fuzzy linguistic sets was introduced. …”
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Usage of Fuzzy Spatial Theory for Modelling of Terrain Passability by Alois Hofmann, Sarka Hoskova-Mayerova, Vaclav Talhofer

“…The aim of the paper is to contribute to the solution of the question of how it is possible to work with diverse spatial geographic information so that the user has an idea about the resulting product. The concept of fuzzy sets is used for representation of classes, whose boundaries are not clearly (not sharply) set, namely, the fuzzy approach in overlaying operations realized in ESRI ArcGIS environment. …”
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Some New Covering-Based Multigranulation Fuzzy Rough Sets and Corresponding Application in Multicriteria Decision Making by Zaibin Chang, Lingling Mao

“…They can be seen as the further combination of fuzzy sets: covering-based rough sets and multigranulation rough sets. …”
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A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making by Xin Wang, Lei Zhang

“…Decision-makers’ judgment information is more suitable to be expressed by intuitionistic fuzzy sets rather than deterministic numbers or linguistic variables. …”
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OPTIMIZATION OF FUZZY INVENTORY MANAGEMENT IN INDUSTRIAL PROCESSES USING DEEP LEARNING ALGORITHMS: A HYBRID APPROACH FOR ENHANCING DEMAND FORECASTING AND SUPPLY CHAIN EFFICIENCY by K. Kalaiarasi*, S. Swathi

“…By transforming data into fuzzy sets and applying neural networks for demand forecasting, the proposed model optimizes inventory levels to reduce costs and prevent stockouts. …”
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Bayesian Estimation for the Doubly Censored Topp Leone Distribution using Approximate Methods and Fuzzy Type of Priors by Navid Feroze, Ali Al-Alwan, Muhammad Noor-ul-Amin, Shajib Ali, R. Alshenawy

“…The Bayesian methods are very much linked to the Fuzzy sets. The Fuzzy priors can be used as prior information in the Bayesian models. …”
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An Advanced Uncertainty Measure Using Fuzzy Soft Sets: Application to Decision-Making Problems by Nitin Bhardwaj, Pallvi Sharma

“…In this paper, uncertainty has been measured in the form of fuzziness which arises due to imprecise boundaries of fuzzy sets. Uncertainty caused due to human’s cognition can be decreased by the use of fuzzy soft sets. …”
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Trustworthy collaborative evaluation of multi-service subjects in the cloud manufacturing model by Tao Yang, Yihuan Ding, Wei Chen

“…This model capitalizes on the strengths of intuitionistic fuzzy sets (IFSs) and cloud models in converting qualitative assessments into quantitative evaluations, and leverages the method of approximation of the order of ideal solutions (TOPSIS) to carry out a comprehensive assessment of the degree of trustworthy collaboration of the service subject. …”
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Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method by Rasim M. Alguliyev, Ramiz M. Aliguliyev, Rasmiyya S. Mahmudova

“…This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. …”
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Multicriteria Decision Making Based on Archimedean Bonferroni Mean Operators of Hesitant Fermatean 2-Tuple Linguistic Terms by Huijuan Wang, Xin Wang, Lidong Wang

“…First, the concept of hesitant Fermatean 2-tuple linguistic sets (HF2TLSs) is introduced for characterizing an individual’s imprecision preferences and assessing information by combining 2-tuple linguistic terms and Fermatean fuzzy sets. The advantage of hesitant Fermatean 2-tuple linguistic information is that it can handle higher levels of uncertainty and express the decision-makers’ hesitancy. …”
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IF-MABAC Method for Evaluating the Intelligent Transportation System with Intuitionistic Fuzzy Information by Yanping Li

“…Depending on the conventional multiattributive border approximation area comparison (MABAC) method and intuitionistic fuzzy sets (IFSs), this article designs a novel intuitive distance-based IF-MABAC method to assess the performance of financial management. …”
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Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge by Huidong He, Xiaoqian Mao, Wei Li, Linwei Niu, Genshe Chen

“…Different from many existing methods, the proposed approach provides a new classification of pixels in a source color image which usually classifies an individual pixel into several subimages by fuzzy sets. This approach shows two unique features: the spatial proximity and color similarity, and it mainly consists of two algorithms: CreateSubImage and MergeSubImage. …”
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Dual Hesitant q-Rung Orthopair Fuzzy Interaction Partitioned Bonferroni Mean Operators and Their Applications by Lu Zhang, Yabin Shao, Ning Wang

“…Motivated by the idea of q-rung orthopair fuzzy interaction operational laws, partitioned Bonferroni mean, and dual hesitant q-rung orthopair fuzzy sets, for dual hesitant q-rung orthopair fuzzy numbers, we present dual hesitant q-rung orthopair fuzzy interaction operational rules and propose several dual hesitant q-rung orthopair fuzzy interaction partitioned Bonferroni mean aggregation operators, including the interaction partitioned Bonferroni mean operator for dual hesitant q-rung orthopair fuzzy numbers, the weighted interaction partitioned Bonferroni mean operator for dual hesitant q-rung orthopair fuzzy numbers, the interaction partitioned geometric Bonferroni mean operator for dual hesitant q-rung orthopair fuzzy numbers, and the weighted interaction partitioned geometric Bonferroni mean operator for dual hesitant q-rung orthopair fuzzy numbers. …”
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Evaluation of the Economic Relationships on the Basis of Statistical Decision-Making in Complex Neutrosophic Environment by Abdul Nasir, Naeem Jan, Abdu Gumaei, Sami Ullah Khan, Mabrook Al-Rakhami

“…Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. …”
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Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching by Mingyue Tan, Jiming Li, Xiangqian Chen, Xuezhen Cheng

“…Then, an intuitionistic fuzzy Petri Nets fault diagnosis model, with an excellent ability to process uncertain information from intuitionistic fuzzy sets, is constructed, and the initial place value of the model is corrected by the timing confidence. …”
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