Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak
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DOI: 10.1007/s00366-019-00919-6
Abstract: This study proposes a new uncertain rule-based fuzzy approach for the evaluation of blast-induced backbreak. The proposed approach is based on rock engineering systems (RES) updated by the fuzzy system. Additionally, a genetic algorithm (GA)… read more here.
Keywords: fuzzy approach; uncertain rule; rule based; based fuzzy ... See more keywords
Credibility support vector machines based on fuzzy outputs
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DOI: 10.1007/s00500-018-3106-0
Abstract: Support vector machines (SVMs) based on fuzzy theory have attracted widespread attentions in pattern recognition and machine learning. However, these SVMs have some limitation in dealing with some classification problems with fuzzy outputs, which results… read more here.
Keywords: support vector; fuzzy outputs; credibility; vector machines ... See more keywords
Novel classes of fuzzy soft $$\beta $$β-coverings-based fuzzy rough sets with applications to multi-criteria fuzzy group decision making
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DOI: 10.1007/s00500-018-3470-9
Abstract: In this article, we put forward the concepts of fuzzy soft $$\beta $$β-minimal descriptions and fuzzy soft $$\beta $$β-maximal descriptions and construct four types of fuzzy soft $$\beta $$β-neighborhoods. Secondly, we define five kinds of… read more here.
Keywords: fuzzy soft; coverings based; soft beta; beta coverings ... See more keywords
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
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DOI: 10.1007/s10462-017-9610-2
Abstract: In the structure of ANFIS, there are two different parameter groups: premise and consequence. Training ANFIS means determination of these parameters using an optimization algorithm. In the first ANFIS model developed by Jang, a hybrid… read more here.
Keywords: network based; anfis training; training; based fuzzy ... See more keywords
Fuzzy clustering using multiple Gaussian kernels with optimized-parameters
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DOI: 10.1007/s10700-017-9268-x
Abstract: In this paper, we propose a new kernel-based fuzzy clustering algorithm which tries to find the best clustering results using optimal parameters of each kernel in each cluster. It is known that data with nonlinear… read more here.
Keywords: fuzzy clustering; kernel based; based fuzzy; single kernel ... See more keywords
Visualization of nanofluid flow field by adaptive-network-based fuzzy inference system (ANFIS) with cubic interpolation particle approach
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DOI: 10.1007/s12650-019-00623-z
Abstract: Abstract The interior of a square cavity containing nanofluid with copper (Cu) nanoparticles (NPs) was simulated by a computational fluid dynamics (CFD) method. The flow rate parameters were obtained with different directions of the computing… read more here.
Keywords: network based; system anfis; based fuzzy; fuzzy inference ... See more keywords
Omnichannel Management in B2B. Complexity-based model. Empirical evidence from a panel of experts based on Fuzzy Cognitive Maps
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DOI: 10.1016/j.indmarman.2021.03.009
Abstract: Abstract In recent years, academics and professionals have proposed omnichannel management as the best approach to offering multiple channels to end customers. This approach has been reinforced by the recent crisis caused by Covid-19 and… read more here.
Keywords: omnichannel management; management; fuzzy cognitive; model ... See more keywords
Semi-Automated Segmentation of Single and Multiple Tumors in Liver CT Images Using Entropy-Based Fuzzy Region Growing
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DOI: 10.1016/j.irbm.2017.02.003
Abstract: Abstract Aims The liver CT image segmentation is still until now a challenging problem due to the fuzzy nature of the tumor transition to the surrounding tissues. The objective of this article is the consideration… read more here.
Keywords: segmentation; entropy based; fuzzy region; based fuzzy ... See more keywords
Developing the modified R-numbers for risk-based fuzzy information fusion and its application to failure modes, effects, and system resilience analysis (FMESRA).
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DOI: 10.1016/j.isatra.2020.01.015
Abstract: In order to identify and eliminate known or potential failures from the process of product design, development and production, failure mode and effect analysis (FMEA) have been widely used in a variety of industries as… read more here.
Keywords: fuzzy information; analysis; risk based; based fuzzy ... See more keywords
Remanufacturability evaluation method and application for used engineering machinery parts based on fuzzy-EAHP
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DOI: 10.1016/j.jmsy.2020.08.016
Abstract: Abstract Remanufacturing is an important mode to promote the sustainable development of manufacturing industry. Remanufacturing mechanical components at the best recycling time can effectively reduce the remanufacturing cost and improve the remanufacturing efficiency. Therefore, the… read more here.
Keywords: method application; evaluation; method; evaluation method ... See more keywords
Rule-based fuzzy control method for static pressure reset using improved Mamdani model in VAV systems
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DOI: 10.1016/j.jobe.2018.12.005
Abstract: Abstract In variable air volume air(VAV) conditioning systems, conventional methods for static pressure reset depends on accurate mathematics models which are often difficult to be built. On the contrary, controls, which are based on a… read more here.
Keywords: control; static pressure; pressure reset; based fuzzy ... See more keywords