Results 281 to 290 of about 38,682 (311)
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Calculus with Fuzzy Numbers

2005
Algebra of ordered fuzzy numbers (OFN) is defined to handle with fuzzy inputs in a quantitative way, exactly in the same way as with real numbers. Additional two structures: algebraic and normed (topological) are introduced to define a general form of defuzzyfication operators.
Witold Kosinski   +2 more
openaire   +1 more source

Fuzzy Numbers and Fuzzy Optimization

2019
A fuzzy number is a quantity whose value is imprecise rather than exact as is the case with single-valued number.
Sahidul Islam, Wasim Akram Mandal
openaire   +1 more source

The fuzzy degrees of fuzzy n - cell numbers

2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
In this paper, we study the problems about fuzzy degrees of fuzzy n - cell numbers, which can be used in ranking uncertain multi-channel digital signal information. Firstly, we introduce concepts of vector-valued fuzzy degrees and weight (number-valued) fuzzy degrees of fuzzy n - cell numbers, and then investigate their properties. At last, in order to
Guixiang Wang, Zhenju Mu
openaire   +1 more source

A fuzzy ranking of fuzzy numbers

Fuzzy Sets and Systems, 1989
Abstract We present a fuzzy ranking of fuzzy numbers and then briefly discuss two applications.
openaire   +1 more source

Metric Topology of Fuzzy Numbers and Fuzzy Analysis

2000
This chapter gives an overview of distances between fuzzy numbers and the topology that these metrics induce. The metric structure allows the development of fuzzy analysis and various applications to interpolation, approximation and differential equations.
Diamond, P. M., Kloeden, P.
openaire   +2 more sources

Fuzzy Portfolio Optimization Model with Fuzzy Numbers

2011
A new portfolio optimization model with triangular fuzzy numbers is proposed in this paper. The objective function is considered as maximizing fuzzy expected return of securities under the constraint that the risk will not be greater than a preset tolerable fuzzy number, where the expected return and risk of securities are described as triangular fuzzy
Chunquan Li 0003, Jianhua Jin
openaire   +1 more source

Fuzzy Number-Based Hierarchical Fuzzy System

2004
Hierarchical fuzzy systems allow for reducing number of rules and for prioritization of rules. To retain fuzziness, intermediate signals should be fuzzy. Transferring fuzzy signal is computationally demanding. Special form of hierarchical fuzzy system is proposed to reduce computational burden.
Adam E. Gaweda, Rafal Scherer
openaire   +1 more source

Intuitionistic Fuzzy Aggregation Operators

IEEE Transactions on Fuzzy Systems, 2007
Zeshui Xu
exaly  

Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification

IEEE Transactions on Cybernetics, 2020
C L Philip Chen, Feng Shuang
exaly  

Intuitionistic fuzzy sets

Fuzzy Sets and Systems, 1986
Krassimir Atanassov
exaly  

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