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On the prediction of Covid-19 time series: an intuitionistic fuzzy logic approach [PDF]
Journal of Fuzzy Extension and Applications, 2021 This paper presents a time series analysis of a novel coronavirus, COVID-19, discovered in China in December 2019 using intuitionistic fuzzy logic system with neural network learning capability. Fuzzy logic systems are known to be universal approximation
Imo Eyo, Jeremiah Eyoh, Uduak Umoh
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Mathematical Biosciences and Engineering, 2022 Under the uncertain market demand and quality level, a total profit model of green closed-loop supply chain system (GCL-SCS) considering corporate environmental responsibility (CER) and government differential weight subsidy (GDWS) is constructed.
Jianquan Guo , Guanlan Wang, Mitsuo Gen
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Applying GA-PSO-TLBO approach to engineering optimization problems
Mathematical Biosciences and Engineering, 2023 Under addressing global competition, manufacturing companies strive to produce better and cheaper products more quickly. For a complex production system, the design problem is intrinsically a daunting optimization task often involving multiple ...
YoungSu Yun +2 more
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Sustainable Closed-Loop Supply Chain Design Problem: A Hybrid Genetic Algorithm Approach
Mathematics, 2020 In this paper, we propose a solution to the sustainable closed-loop supply chain (SCLSC) design problem. Three factors (economic, environmental, and social) are considered for the problem and the three following requirements are addressed while ...
YoungSu Yun +2 more
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Archimedean-Compensatory Fuzzy Logic Systems [PDF]
International Journal of Computational Intelligence Systems, 2015 The paper aims to define a new kind of logic, referred to as Archimedean-Compensatory Logic, which is constructed from the unification of two different fuzzy logic systems, namely a continuous Archimedean fuzzy logic and a compensatory fuzzy logic.
Rafael A. Espin-Andrade +3 more
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Task Feasibility Maximization Using Model-Free Policy Search and Model-Based Whole-Body Control
Frontiers in Robotics and AI, 2020 Producing feasible motions for highly redundant robots, such as humanoids, is a complicated and high-dimensional problem. Model-based whole-body control of such robots can generate complex dynamic behaviors through the simultaneous execution of multiple ...
Ryan Lober +4 more
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Quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system
IET Communications, 2021 The main objective of this paper is to design an Adaptive Neuro Fuzzy Inference System model to calculate the quality of service for LTE HetNet applications. The quality of service parameters considered are delay, loss rate, throughput, and jitter.
Hala B. Nafea +2 more
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A basic review of fuzzy logic applications in hydrology and water resources
Applied Water Science, 2020 In recent years, fuzzy logic has emerged as a powerful technique in the analysis of hydrologic components and decision making in water resources. Problems related to hydrology often deal with imprecision and vagueness, which can be very well handled by ...
Shruti Kambalimath, Paresh Chandra Deka
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Speed Control of DC Motor using Fuzzy Logic Controller by PCI 6221 with MATLAB [PDF]
E3S Web of Conferences, 2019 This thesis demonstrates the importance of Fuzzy Logic Controller. The operation of a DC motor is performed using Fuzzy Logic Controller (FLC) in MATLAB environment.
Rajagiri Anil Kumar +3 more
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World Electric Vehicle Journal, 2022 The steering system in autonomous vehicles is an essential issue that must be addressed. Appropriate control will result in a smooth and risk-free steering system.
Bustanul Arifin +3 more
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