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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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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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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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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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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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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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Fuzzy logics as the logics of chains
Fuzzy Sets and Systems, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Libor Behounek, Petr Cintula
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Journal of Symbolic Logic, 2007 AbstractSubstructural fuzzy logics are substructural logics that are complete with respect to algebras whose lattice reduct is the real unit interval [0, 1]. In this paper, we introduce Uninorm logicULas Multiplicative additive intuitionistic linear logicMAILLextended with the prelinearity axiom((A → B) ∧ t) V ((B → A)∧ t).
George Metcalfe, Franco Montagna
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Hybrid Cooperative Co-Evolution Algorithm for Uncertain Vehicle Scheduling
IEEE Access, 2018 As a typical scheduling problem, the vehicle scheduling problem (VSP) plays a significant role in public transportation systems. VSP is difficult to solve, since it is classified as a high-dimensional combination optimization problem, which is well known
Lu Sun, Lin Lin, Haojie Li, Mitsuo Gen
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Fuzzy Logic: A Content Analysis For Thesis And Article Studies Between 2000-2020
Acta Infologica, 2020 Today, quantitative data are being used to guide decision making processes as well as in performance determination studies. Using quantitative data prevents situations that can be expressed verbally from being expressed mathematically. Fuzzy logic offers
Oğuzhan Özdemir, Yusuf Kalınkara
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