General Complex-Valued Grouping Functions by Ying Chen, Lvqing Bi, Bo Hu, Songsong Dai

“…Grouping function is a special kind of aggregation function which measures the amount of evidence in favor of either of the two choices. Recently, complex fuzzy sets have been successfully used in many fields. …”
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Certain Concepts in m-Polar Fuzzy Graph Structures by Muhammad Akram, Noura Alshehri, Rabia Akmal

“…We apply the concept of m-polar fuzzy sets to graph structures. We introduce certain concepts in m-polar fuzzy graph structures, including strong m-polar fuzzy graph structure, m-polar fuzzy Di-cycle, m-polar fuzzy Di-tree, m-polar fuzzy Di-cut vertex, and m-polar fuzzy Di-bridge, and we illustrate these concepts by several examples. …”
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Medical Pattern Recognition: Applying an Improved Intuitionistic Fuzzy Cross-Entropy Approach by Kuo-Chen Hung

“…The proposed entropy measure is based on intuitionistic fuzzy sets, extrainformation regarding hesitation degree, and an intuitive and mathematical connection between the notions of entropy in terms of fuzziness and intuitionism has been revealed. …”
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Multiple Attribute Decision Making Based on Generalized Aggregation Operators under Dual Hesitant Fuzzy Environment by Chunyong Wang, Qingguo Li, Xiaoqiang Zhou

“…We first introduce some basic concepts and operations on dual hesitant fuzzy sets. Then, we develop some generalized dual hesitant fuzzy aggregation operators which encompass some existing operators as their particular cases and discuss their basic properties. …”
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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets by Zhiming Zhang

“…Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. …”
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Novel MCDM Methods and Similarity Measures for Extended Fuzzy Parameterized Possibility Fuzzy Soft Information with Their Applications by Ghous Ali

“…For such complications, this work aims to develop a novel fuzzy parameterized possibility fuzzy bipolar soft set model as a fuzzy parameterized bipolar soft extension of possibility fuzzy sets. The proposed model efficiently depicts the possibility of fuzzy belongingness of alternatives under fuzzy parameterized bipolar parameters (or attributes). …”
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Generalized m-Polar Fuzzy Positive Implicative Ideals of BCK-Algebras by Anas Al-Masarwah, Abd Ghafur Ahmad, G. Muhiuddin, D. Al-Kadi

“…This study focuses on combining the theories of m-polar fuzzy sets over BCK-algebras and establishing a new framework of m-polar fuzzy BCK-algebras. …”
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A New Type-3 Fuzzy PID for Energy Management in Microgrids by Weiping Fan, Ardashir Mohammadzadeh, Nasreen Kausar, Dragan Pamucar, Nasr Al Din Ide

“…In addition to rules, the parameters of fuzzy sets are also tuned such that a fast regulation efficiency is obtained. …”
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Complex Spherical Fuzzy Decision Support System Based on Entropy Measure and Power Operator by Muhammad Naeem, Muhammad Qiyas, Thongchi Botmart, Saleem Abdullah, Neelam Khan

“…The conversion to these complex spherical fuzzy sets addresses the classes’ uncertainty, whose ranges differ from the specific subset of the complex subset of the unit disk. …”
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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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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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