Results 21 to 30 of about 1,598,904 (304)
International Journal of Computational Intelligence Systems, 2016 In this paper, the researcher proposed a method to cardinal, median value, variance and covariance of exponential fuzzy numbers with shape function . The covariance used in this method is obtained from the exponential trapezoidal fuzzy number, first by ...
S. Rezvani
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Representing Fuzzy Numbers for Fuzzy Calculus [PDF]
, 2007 In this paper we illustrate the LU representation of fuzzy numbers and present an LU-fuzzy calculator, in order to explain the use of the LU-fuzzy model and to show the advantage of the parametrization. The model can be applied either in the level-cut or in generalized LR frames.
STEFANINI, LUCIANO, SORINI, LAERTE
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A signed distance for (γ,δ) interval-valued fuzzy numbers to solve multi objective assignment problems with fuzzy parameters [PDF]
International Journal of Research in Industrial Engineering, 2022 In this paper, a multi-objective assignment problem with fuzzy parameters (FMOASP) is introduced. These fuzzy parameters are characterized by an interval-valued fuzzy numbers instead of fuzzy numbers.
Hamiden Khalifa
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Ranking fuzzy numbers using preference ratio: A utility function approach [PDF]
Decision Science Letters, 2013 Ranking fuzzy numbers is one of the most important phases in any decision making process in fuzzy environments. In most cases, we deal with fuzzy numbers in the field of evaluating alternatives with fuzzy information or linguistic variables.
Soheil Sadi-Nezhad +1 more
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Fuzzy Semi-Numbers and Their Elementary Arithmetic With a Medical Case Study
International Journal of Computational Intelligence Systems, 2018 A new methodology for processing non-normal fuzzy sets is proposed. To break the predominant constraint on normality of fuzzy numbers the concept of fuzzy semi-numbers is introduced Then it is shown how to generalize operations defined on fuzzy numbers ...
Sh. Yeganehmanesh +2 more
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Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [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
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Cogent Engineering, 2021 Pythagorean Fuzzy Numbers are more capable of modeling uncertainties in real-life decision-making situations than Intuitionistic Fuzzy Numbers. Majority of research in Pythagorean Fuzzy Numbers, used in Multiple Criteria Decision-Making problems, has ...
Alaa F. Momena, Nidal Abu-Zahra
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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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Advances in Fuzzy Systems, 2011 Ranking fuzzy numbers are an important aspect of decision making in a fuzzy environment. Since their inception in 1965, many authors have proposed different methods for ranking fuzzy numbers. However, there is no method which gives a satisfactory result
P. Phani Bushan Rao, N. Ravi Shankar
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A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria
Axioms, 2016 Methods for ordering fuzzy numbers play an important role as decision criteria, with applications in areas such as optimization and data mining, among others. Although there are several proposals for ordering methods in the fuzzy literature, many of them
José A. González Campos +1 more
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