Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors. [PDF]
To understand impact of input and output parameters during optimization and degree of complexity, in the current study we numerically designed a bubble column reactor with a single sparger in the middle of the reactor.
Pelalak R +4 more
europepmc +4 more sources
Roughness in Membership Continuous Function
In this paper, we introduce the new definition of rough membership function using continuous function and we discuss several concepts and properties of rough continuous set value functions as new results on rough continuous function and membership ...
Faraj.A. Abdunani, Ahmed.A. Shletiet
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Evaluation of Mutton Quality Characteristics of Dongxiang Tribute Sheep Based on Membership Function and Gas Chromatography and Ion Mobility Spectrometry. [PDF]
Dongxiang tribute sheep have a history of use in food dishes such as “Dongxiang Handgrip,” which dates back hundreds of years and is a favorite halal food in northwestern China.
Lu Z +10 more
europepmc +2 more sources
Screening diverse soybean genotypes for drought tolerance by membership function value based on multiple traits and drought-tolerant coefficient of yield. [PDF]
Background Drought is a major limiting factor seriously influencing worldwide soybean production and its impact on yield, morphological and physiological traits depend on the timing it occurs and the intensity of water shortage. Only limited research has
Yan C +7 more
europepmc +2 more sources
The photovoltaic generation system (PGS) is considered a potential renewable energy harvesting system. However, the low conversion efficiency of PGS and maximum power point tracking (MPPT) technique are the main challenges that must be solved.
Tole Sutikno +2 more
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Fuzzy Reliability Theory Based on Membership Function [PDF]
In this study, it is considered that the shape of membership function and the values of parameters are arbitrary, hence reliability parameters will be arbitrary, and some data are even absurd from the point of view of real life practice. An applied fuzzy
Shshank Chaube, S. B. Singh
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Genetic algorithm based hybrid approach to solve fuzzy multi-objective assignment problem using exponential membership function. [PDF]
This paper presents a genetic algorithm based hybrid approach for solving a fuzzy multi-objective assignment problem (FMOAP) by using an exponential membership function in which the coefficient of the objective function is described by a triangular ...
Dhodiya JM, Tailor AR.
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Horizontal membership function (HMF) for fuzzy membership function type with two parameters
Membership function (MF), also called vertical membership function (VMF), is an essential object of study in fuzzy concepts which models fuzzy sets using different sorts of data or fuzzy hypotheses.
Annisa Rahmita Soemarsono +2 more
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Because of the degradation of classification accuracy that is caused by the uncertainty of pixel class and classification decisions of high-resolution remote-sensing images, we proposed a supervised classification method that is based on an interval type-
Chunyan Wang, Aigong Xu, Xiaoli Li
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Exploiting nearest neighbor data and fuzzy membership function to address missing values in classification [PDF]
The accuracy of most classification methods is significantly affected by missing values. Therefore, this study aimed to propose a data imputation method to handle missing values through the application of nearest neighbor data and fuzzy membership ...
Kurnia Muludi +3 more
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