Results 21 to 30 of about 9,260,849 (295)
Optimizing Material Selection with Fermatean Fuzzy Hybrid Aggregation Operators
Axioms, 2023 In the pursuance of engineering excellence and sustainable practices, the optimization of material selection processes plays a crucial role. Using Fermatean fuzzy aggregation Operators (AOs), this study introduces an innovative method for improving ...
Vladimir Simic +5 more
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Relation “Greater than or Equal to” between Ordered Fuzzy Numbers
Applied System Innovation, 2019 The ordered fuzzy number (OFN) is determined as an ordered pair of fuzzy number (FN) and its orientation. FN is widely interpreted as imprecise number approximating real number.
Krzysztof Piasecki
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IEEE Access, 2022 In this article, the feature selection (FS) process is taken as a multi criteria decision making (MCDM) problem. Also, to consider the impreciseness arising in the real time data, the values of the decision matrix procured after the ridge regression is ...
S. Kavitha +4 more
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Modelling of Limit Order Book Data with Ordered Fuzzy Numbers
Applied Soft Computing, 2023 This paper presents a novel approach to representing the Limit Order Book data at a given timestamp using the Ordered Fuzzy Numbers concept. The limit order book contains all buy and sell orders placed by investors, updated in real-time, for the most liquid securities, even several hundred times a minute.
Adam Marszalek, Tadeusz Burczynski
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Technological and Economic Development of Economy, 2014 An important research topic related to the theory and application of the interval-valued intuitionistic fuzzy weighted aggregation operators is how to determine their associated weights.
Wei Zhou, Jian Min He
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The preference order of fuzzy numbers
Computers & Mathematics with Applications, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, L.-H., Lu, H.-W.
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New Order on Type 2 Fuzzy Numbers [PDF]
Axioms, 2017 Since Lotfi A. Zadeh introduced the concept of fuzzy sets in 1965, many authors have devoted their efforts to the study of these new sets, both from a theoretical and applied point of view. Fuzzy sets were later extended in order to get more adequate and flexible models of inference processes, where uncertainty, imprecision or vagueness is present ...
Pablo Hernández +3 more
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Representation of uncertain multichannel digital signal spaces and study of pattern recognition based on metrics and difference values on fuzzy n-cell number spaces [PDF]
, 2009 In this paper, we discuss the problem of characterization for uncertain multichannel digital signal spaces, propose using fuzzy n-cell number space to represent uncertain n-channel digital signal space, and put forward a method of constructing such fuzzy
Shi, Peng +8 more
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IEEE Access, 2022 The objective of this article is to explore and generalize the notions of soft set and rough set along with spherical fuzzy set and to introduce the novel concept called spherical fuzzy soft rough set that is free from all those complications faced by ...
Leina Zheng +4 more
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Mathematics, 2022 The idea of bipolar complex fuzzy (BCF) sets, as a genuine modification of both bipolar fuzzy sets and complex fuzzy sets, gives a massive valuable framework for representing and evaluating ambiguous information.
Tahir Mahmood +4 more
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