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Dragan Pamucar, Nikola Kne?evic, Dragana Macura, Boban Ðorovic
Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business ...
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Miniyenkosi Ngcukayitobi, Lagouge Kwanda Tartibu and Flávio Bannwart
Waste heat recovery stands out as a promising technique for tackling both energy shortages and environmental pollution. Currently, this valuable resource, generated through processes like fuel combustion or chemical reactions, is often dissipated into th...
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Chunyi Zhang, Zheshan Yuan, Huan Li, Jiongran Wen, Shengkai Zheng and Chengwei Fei
To enhance the accuracy and efficiency of reliability analysis for an aero-engine vectoring exhaust nozzle (VEN), a multi-extremum adaptive fuzzy network (MEAFN) method is developed by absorbing an adaptive neuro-fuzzy inference system (ANFIS) into the m...
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Abdelhafid El Alaoui El Fels, Laila Mandi, Aya Kammoun, Naaila Ouazzani, Olivier Monga and Moulay Lhassan Hbid
The concept of using wastewater as a substitute for limited water resources and environmental protection has enabled this sector to make major technological advancements and, as a result, has given us an abundance of physical data, including chemical, bi...
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Shiu-Shin Lin, Jheng-Hua Song, Kai-Yang Zhu, Yi-Chuan Liu and Hsien-Cheng Chang
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference systems (ANFIS) to improve the typhoon intensity forecast in the ...
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Srilakshmi Koganti, Krishna Jyothi Koganti and Surender Reddy Salkuti
Nowadays, the integration of renewable energy sources such as solar, wind, etc. into the grid is recommended to reduce losses and meet demands. The application of power electronics devices (PED) to control non-linear, unbalanced loads leads to power qual...
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Minghui Wang, Bi Zeng and Qiujie Wang
This paper studies a novel intelligent motion control algorithm for Autonomous Underwater Vehicles (AUV) and develops a virtual reality system for a new interactive experimental platform. The paper designs a robust neuro-fuzzy controller to tackle system...
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T. Pradeep, Abidhan Bardhan, Avijit Burman and Pijush Samui
The majority of natural ground vibrations are caused by the release of strain energy accumulated in the rock strata. The strain reacts to the formation of crack patterns and rock stratum failure. Rock strain prediction is one of the significant works for...
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Rebecca Zahn and Christian Breitsamter
In the present work, a reduced-order modeling (ROM) framework based on a recurrent neuro-fuzzy model (NFM) that is serial connected with a multilayer perceptron (MLP) neural network is applied for the computation of transonic aileron buzz. The training d...
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Chan-Uk Yeom and Keun-Chang Kwak
We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and ...
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