Development of a readiness model for industry 4.0 using Analytical Hierarchy process and fuzzy inference system: Bangladesh perspective. [PDF]
Faisal SMF +2 more
europepmc +1 more source
Data‐Driven Pathways to Circular E‐Waste Management
ABSTRACT As the volume and complexity of electronic waste grow worldwide, regional and subnational systems are increasingly tasked with managing the environmental, economic, and social challenges of circular resource recovery. This paper focuses on Canada's e‐waste sector to examine how circular economy (ce) principles can be integrated into regional ...
Saidia Ali +3 more
wiley +1 more source
An integrated approach to occupational health risk assessment of manufacturing nanomaterials using Pythagorean Fuzzy AHP and Fuzzy Inference System. [PDF]
Salari S +2 more
europepmc +1 more source
ABSTRACT Environmental, Social and Governance (ESG) assessment criteria have drawn substantial attention by investors in recent years. ESG factors have been considered by investors to create greater wealth and better investment decisions and opportunities. However, there are ambiguities about ESG assessment and reporting with issues of transparency and
Caleb Boadi +2 more
wiley +1 more source
Optimization of adaptive neuro-fuzzy inference system (ANFIS) parameters via Box-Behnken experimental design approach: The prediction of chromium adsorption. [PDF]
Duranoğlu D +2 more
europepmc +1 more source
Performance Evaluation of Benzyl Alcohol Oxidation with tert-Butyl Hydroperoxide to Benzaldehyde Using the Response Surface Methodology, Artificial Neural Network, and Adaptive Neuro-Fuzzy Inference System Model. [PDF]
Emeji IC, Kumi M, Meijboom R.
europepmc +1 more source
Enhancing aircraft crack repair efficiency through novel optimization of piezoelectric actuator parameters: A design of experiments and adaptive neuro-fuzzy inference system approach. [PDF]
Aabid A +3 more
europepmc +1 more source
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Picture inference system: a new fuzzy inference system on picture fuzzy set
Applied Intelligence, 2016In this paper, we propose a novel fuzzy inference system on picture fuzzy set called picture inference system (PIS) to enhance inference performance of the traditional fuzzy inference system. In PIS, the positive, neutral and negative degrees of the picture fuzzy set are computed using the membership graph that is the combination of three Gaussian ...
Le Hoang Son, Viet van Pham
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GA with fuzzy inference system
Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), 2002Applications of genetic algorithms (GA) for optimisation problems are widely known as well as their advantages and disadvantages compared with classical numerical methods. In practical tests, GA appears a robust method with a broad range of applications. The determination of GA parameters could be complicated. Therefore for some real-life applications,
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