Fuzzy Interpolation with Extensional Fuzzy Numbers [PDF]
The article develops further directions stemming from the arithmetic of extensional fuzzy numbers. It presents the existing knowledge of the relationship between the arithmetic and the proposed orderings of extensional fuzzy numbers—so-called S-orderings—and investigates distinct properties of such orderings.
Michal Holcapek +2 more
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Oriented Fuzzy Numbers vs. Fuzzy Numbers [PDF]
A formal model of an imprecise number can be given as, inter alia, a fuzzy number or oriented fuzzy numbers. Are they formally equivalent models? Our main goal is to seek formal differences between fuzzy numbers and oriented fuzzy numbers. For this purpose, we examine algebraic structures composed of numerical spaces equipped with addition, dot ...
Krzysztof Piasecki +1 more
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]
A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
core +3 more sources
Fuzzy Distance of Trapezoidal Fuzzy Numbers [PDF]
Fuzzy distance is applied on data analysis, classification, and product positioning analysis widely. In this paper, We introduce a fuzzy distance by using graded mean integration representation of generalized fuzzy number and the span of fuzzy number, We also discuss the distance of the linguistic data of “greater or less than x” and “about x”.
Shan-Huo Chen, Chien-Chung Wang
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Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +4 more sources
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
core +1 more source
Pattern Formation Induced by Fuzzy Fractional-Order Model of COVID-19
A novel coronavirus infection system is established for the analytical and computational aspects of this study, using a fuzzy fractional evolution equation (FFEE) stated in Caputo’s sense for order (1,2).
Abeer S. Alnahdi +3 more
doaj +1 more source
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]
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
core +2 more sources
Solving fully fuzzy linear programming problems by controlling the variation range of variables
This paper deals with a fully fuzzy linear programming problem (FFLP) in which the coefficients of decision variables, the right-hand coefficients and variables are characterized by fuzzy numbers.
S.M. Davoodi, N.A. Abdul Rahman
doaj +1 more source

