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Bipolar Complex Fuzzy Soft Sets and Their Applications in Decision-Making
This article introduces the notion of bipolar complex fuzzy soft set as a generalization of bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary operations for bipolar complex fuzzy soft sets such as complement, union ...
Tahir Mahmood +4 more
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A bipolar complex fuzzy credibility set (BCFCS) is a new approach in computational intelligence and decision-making under uncertainty. Bipolar complex fuzzy credibility (BCFC) information has been employed as a strategy for dealing with confusing and ...
Muhammad Qiyas +3 more
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Cosine Similarity Measure of Complex Fuzzy Sets and Robustness of Complex Fuzzy Connectives [PDF]
Complex fuzzy set (CFS), as a generalization of fuzzy set (FS), is characterized by complex-valued membership degrees. By considering the complex-valued membership degree as a vector in the complex unit disk, we introduce the cosine similarity measures between CFSs.
Wenping Guo +3 more
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Artificial neural network is revolutionizing business and everyday life, bringing us to the next level in artificial intelligence. It has a unique ability to extract meaning from complex data to find patterns and detect trends that are too convoluted for
Jeonghwan Gwak +3 more
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Fuzzy modelling of powder snow avalanches [PDF]
This paper examines powder snow avalanches by introducing a predetermined degree of variation, or fuzziness, in model parameters. Given a value of vagueness in the parameters, fuzzy set theory makes it possible to evaluate the vagueness in the results ...
Barpi, Fabrizio
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Fuzzy in 3-D: Contrasting complex fuzzy sets with type-2 fuzzy sets [PDF]
Complex fuzzy sets come in two forms, the standard form, postulated in 2002 by Ramot et al., and the 2011 innovation of pure complex fuzzy sets, proposed by Tamir et al.. In this paper we compare and contrast both forms of complex fuzzy set with type-2 fuzzy sets, as regards their rationales, applications, definitions, and structures. In addition, pure
Sarah Greenfield, Francisco Chiclana
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A support vector-based interval type-2 fuzzy system [PDF]
In this paper, a new fuzzy regression model that is supported by support vector regression is presented. Type-2 fuzzy systems are able to tackle applications that have significant uncertainty.
John, Robert, Seker, H., Uslan, V.
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A note on the robust stability of uncertain stochastic fuzzy systems with time-delays [PDF]
Copyright [2004] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Ho, DWC, Liu, X, Wang, Z
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On multidimensional linear modelling including real uncertainty [PDF]
The theoretical background for abstract formalization of vague phenomenon of complex systems is fuzzy set theory. In the paper are defined vague data as specialized fuzzy sets - fuzzy numbers and there is described a fuzzy linear regression model as a ...
Nowaková, Jana, Pokorný, Miroslav
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Bipolar Complex Fuzzy Subgroups
In this study, firstly, we interpret the level set, support, kernel for bipolar complex fuzzy (BCF) set, bipolar complex characteristic function, and BCF point.
Xiaopeng Yang +2 more
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