... of deployed components. If that is the case, the maximum chances of data packets (sensed) needed to be transferred reliably and accurately to the sink node or BS are degraded. Findings The FSS system utilizes the fuzzy logic concepts that have been proved to be beneficial since it permits several...

... on the related topic as follows: To the best of our knowledge, a number of studies on concept evaluation have been done in various fields using the MCDM methods with/out their fuzzy extensions; some of them are given as follows: Thurston and Carnahan (1992) utilized fuzzy logic and utility analysis in early...

... Emerald Publishing Limited Licensed re-use rights only Fuzzy logic Genetic algorithms Fault-tolerant control Fractional-order proportional-integral-derivative (FOPID) was introduced in 1999 by Podlubny as a generalization of trivial PID controllers (Podlubny, 1999). The transfer function...

... 2018 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Fuzzy logic Fault tolerant control Intelligent control Interval Type-2 Takagi Sugeno (IT2 TS) fuzzy model Linear matrix inequalities According to Liang and Mendel (2000...

... based on functional approximation and random search using neural network, evolutionary techniques, fuzzy logic controller (FLC) and probabilistic models to solve the complex problems. By fuzzy logic, it is meant that there is some kind of logic or intelligence (problem-solving methodology...

... Limited Licensed re-use rights only Fuzzy logic Stability Robust control Nonlinear control Adaptive control Fuzzy supervisor Chaotic power system Lyapunov Control effort In recent decades, chaos control has been an important topic in nonlinear sciences. Chaos dynamics are complex...

... Artificial immune system Fuzzy logic Knowledge acquisition Function approximation System identification Evolutionary computation By a rapid growth in the quality of high-performance computational tools, the introduction of emerging software and hardware technologies, global competitions...

... Fuzzy logic LMI Continuous-time T-S fuzzy models Discrete T-S models Discretization Nonquadratic Lyapunov functions Non-PDC control laws Stabilization Takagi-Sugeno (TS) fuzzy models (Takagi and Sugeno, 1985 ; Boyd et al., 1994) are becoming a useful tool for the control...

... the companion form. To design a system of independent joint control, the dynamic equation must be in the form concomitant, i.e. in form the scalar as: (Equation 11) Nonlinear control Fuzzy logic Intelligent control Robotics Adaptive control In the past decades, we have witnessed...

... the others making a competition to take possession of it. Design/methodology/approach – In fuzzy imperialist competitive algorithm (FICA), the colonies have a degree of belonging to their imperialists and the top imperialist, as in fuzzy logic, rather than belonging completely to just one empire...

... computational and easier to implement. © Emerald Group Publishing Limited 2013 Nonlinear control Adaptive control Fuzzy logic Intelligent control Hydraulic actuators are one of the most viable choices due to their high power-to-weight ratio, low cost, robustness, fast response and great...

... arithmetic Fuzzy logic Mathematics In this section we discuss some new techniques to solve FFLS that overcome the limitations of existing approaches. Consider the n×n FFLS: Equation 8 The matrix form of the above equation is A˜⊗x˜=b˜ where...

... Publishing Limited 2012 Giant magnetostrictive actuator Rate‐dependent hysteresis nonlinearity Least Wilcoxon Fuzzy Tree method Outliers Actuators Fuzzy logic In recent years, giant magnetostrictive materials (GMM) exhibit their prominent features in the field of low frequency...

...). © Emerald Group Publishing Limited 2012 Pattern classifier Multidimensional fuzzy implication Fuzzy information granule Fuzzy patter vector Fuzzy relational calculus Genetic algorithms Fuzzy logic Pattern recognition Although a lot of scientific developments have already been...

... is the set of accept (or final) states. A finite automaton is five‐tuple (Q, Σ, δ, q₀, F) where: Splicing operation Automaton Turing machine DNA computing Fuzzy DNA Nano scale computing Computing Fuzzy logic © Emerald Group Publishing Limited 2012 In this paper...

...Kumar S. Ray; Arpan Chakraborty Purpose The importance of fuzzy logic (FL) in approximate reasoning, and that of default logic (DL) in reasoning with incomplete information, is well established. Also, the need for a commonsense reasoning framework that handles both these aspects has been widely...

... by using selection algorithm: © Emerald Group Publishing Limited 2010 Neural nets Fuzzy logic Polynomials Programming and algorithm theory Recently, a lot of attention in fuzzy sets has been paid to advanced techniques of system modeling and constructing fuzzy models. To enumerate...

... parameter the system generates a process to be used as sample and consequently a model of machining time. © Emerald Group Publishing Limited 2010 Taguchi methods Fuzzy logic Cluster analysis Cost accounting Intelligent agents The capacity of the machine shop to respond quickly...

... method of approximate reasoning on a DNA chip is realized. This approach avoids the tedious choice of a suitable implication operator (for a particular application) necessary for existing approximate reasoning based on fuzzy logic. The inferred consequences obtained from DNA computing‐based approximate...

... of importance to constraints are different aspects of the proposed method. Constraint handling Learning Fuzzy logic Parametric measures Programming In this paper, we present a new method for solving parametric programming problems; a new scheme is proposed for fuzzification of constraints...