A Critical Study of Mysticism and Philosophy by Saba Fadavi, Mohyeddin Ghanbari

“…In this book, mystical experience and mysticism with philosophical empiricism have been linked, and mystical experience is beyond the logical understanding, but after Stace’s proposition of the theory of fuzzy logic, the possibility of revision for these results has provided. …”
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Reducing the Amount of Data for Creating Routes in a Dynamic DTN via Wi-Fi on the Basis of Static Data by Yulia Shichkina, Alexander Koblov

“…This article also demonstrates the use of fuzzy logic and graph theory for constructing routes.…”
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A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization by Chun-Tsai Lin

“…This study selected three most important supplier evaluation and selection criteria and established a supplier evaluation model through fuzzy logic inference using MATLAΒ. This method can overcome the defects in some methodologies and improve organizational capability and competitiveness. …”
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Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones by Chang-Qi Zhu, Lei Liu

“…By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can realize the same control objective. Then, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear functions, the dead zone inverse technique is utilized to compensate for the dead zone effect, and a robust adaptive fuzzy control scheme is developed under the backstepping frame. …”
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Neurogenetic Algorithm for Solving Combinatorial Engineering Problems by M. Jalali Varnamkhasti, Nasruddin Hassan

“…To promote diversity, the proposed algorithm combines the concept of gender and age of individuals and the fuzzy logic during the selection of parents. In order to appraise the performance of the techniques used in this study, one of the chemistry problems and some nonlinear functions available in literature is used.…”
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Implementasi Algoritma Fuzzi Mamdani pada Sistem Pakar Menggunakan Software Aplikasi Matlab R2007B, Studi Kasus: Tanaman Hidroponik Selada Air by Okta Purnawirawan, Tri Afirianto

“…Sistem pakar dibangun menggunakan fungsi dari Sistem Inferensi Fuzzy (Fuzzy Inference System/FIS) yang terdapat pada Fuzzy Logic Toolbox (FLT) dalam software aplikasi MATLAB R2007b. …”
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Optimal Allocation and Control of Magnetorheological Dampers for Enhancing Seismic Performance of the Adjacent Structures Using Whale Optimization Algorithm by Xiufang Lin, Weiqing Lin

“…In this control strategy, to fully exploit the performance of MR dampers, the allocation (including the locations and the number) and fuzzy logic controller (FLC) system of MR dampers are simultaneously optimally designed by whale optimization algorithm (WOA) with a special encoding scheme. …”
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Adaptive Fuzzy Sliding Mode Tracking Control of Uncertain Underactuated Nonlinear Systems: A Comparative Study by Faten Baklouti, Sinda Aloui, Abdessattar Chaari

“…The unknown system functions are approximated by fuzzy logic systems and free parameters can be updated online by adaptive laws based on Lyapunov theory. …”
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Research of service-differentiated admission control based on Markov decision processes in heterogeneous wireless networks by DENG Qiang1, CHEN Shan-zhi2, HU Bo1, SHI Yan1

“…Service-differentiated admission control was studied in heterogeneous wireless networks.Capacity regions of voice and data services in CDMA cellular network and WLAN were derived.A theoretical model of admission control with differentiated services was proposed on basis of Markov decision processes theory,in which the admission actions were specified for each traffic service and system state transition probabilities were formulated.Furthermore,a fuzzy logic admission utility evaluation mechanism was presented based on the analysis of relationship of QoS requirements and network state,then the optimal admission control policy that maximizes overall utility with new and handoff call blocking probability constraints was formulated.The simulation results reveal that network dynamics can be captured by the proposed utility evaluation mechanism.And the average utility earned in the optimal admission control policy was significantly larger than two other schemes in which service differentiation and mobility are not considered,in addition,the new and handoff call blocking probability can be strictly constrained.…”
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Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation by Huanqing Wang, Xiaoping Liu, Qi Zhou, Hamid Reza Karimi

“…During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. …”
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Using Big Data Fuzzy K-Means Clustering and Information Fusion Algorithm in English Teaching Ability Evaluation by Chen Zhen

“…Firstly, the author uses the idea of K-means clustering to analyze the collected original error data, such as teacher level, teaching facility investment, and policy relevance level, removes the data that the algorithm considers unreliable, uses the remaining valid data to calculate the weighting factor of the modified fuzzy logic algorithm, and evaluates the weighted average with the node measurement data and gets the final fusion value. …”
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Intelligent Controller Design for Quad-Rotor Stabilization in Presence of Parameter Variations by Oualid Doukhi, Abdur Razzaq Fayjie, Deok Jin Lee

“…The paper presents the mathematical model of a quadrotor unmanned aerial vehicle (UAV) and the design of robust Self-Tuning PID controller based on fuzzy logic, which offers several advantages over certain types of conventional control methods, specifically in dealing with highly nonlinear systems and parameter uncertainty. …”
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Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots by Troy D. Kelley, Lyle N. Long

“…This approach will require a system of systems approach that uses many AI techniques: neural networks, fuzzy logic, and cognitive architectures.…”
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An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction by Tsang-Chu Yu, Chung-Chih Lin

“…We find the ARIMA prediction model accuracy improving from 3.19 ± 3.47% for a time interval of 10 minutes to 1.71 ± 1.45% for a time interval of 50 minutes. (2) The stability experiment shows that the error rate of prediction model is also less than 7.5%. (3) In the energy-saving experiment, fuzzy logic-based decision model can reduce the 55% energy while maintaining adequate air quality.…”
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A Leader-Follower Formation Control of Multi-UAVs via an Adaptive Hybrid Controller by Zain Anwar Ali, Amber Israr, Eman H. Alkhammash, Myriam Hadjouni

“…The strategy consists of an adaptive fuzzy logic controller and a Proportional, Integral, and Derivative (PID) controller where the logic controller fines/tunes the PID controller gains. …”
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A New Type-3 Fuzzy PID for Energy Management in Microgrids by Weiping Fan, Ardashir Mohammadzadeh, Nasreen Kausar, Dragan Pamucar, Nasr Al Din Ide

“…More recently, type-3 (T3) fuzzy logic systems (FLSs) with better learning ability and uncertainty modeling have been presented. …”
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Displacement and Force Control of a Quarter Car Using a Mixed Mode MR Mount by Shuo Wang, Mohammad Elahinia, The Nguyen

“…Moreover, a hierarchical controller for minimizing the two requirements for transmissibility was also constructed. At last, a fuzzy logic controller was devised to closely reproduce the effect of the hierarchical controller. …”
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Contextual Analysis of Financial Time Series by Nadezhda Yarushkina, Aleksey Filippov, Anton Romanov

“…This component uses fuzzy logic and knowledge engineering methods. The article describes an ontological model that provides the framework for data analysis and financial time-series modeling. …”
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Nonlinear Predictive Sliding Mode Control for Active Suspension System by Dazhuang Wang, Dingxuan Zhao, Mingde Gong, Bin Yang

“…The uncertainties in the controller are approximated by the fuzzy logic system, and the adaptive controller reduces the approximation error to increase the robustness of the control system. …”
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Fuzzy Adaptive Prescribed Performance Control for MIMO Uncertain Chaotic Systems in Nonstrict Feedback Form by Yeguo Sun, Heng Liu

“…For updating the parameters of the fuzzy logic systems, a proportional-integral adaptation law is proposed. …”
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