Fuzzy Parameters
Stability of Production Planning Problem with Fuzzy Parameters
... with fuzzy parameters in both of the objective function and ...with fuzzy parameters. These notions are the set of feasible parameters, the solvability set and the stability set of the ...
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A Taylor Series based Fuzzy Mathematical Approach for Multi Objective Linear Fractional Programming Problem with Fuzzy Parameters
... alternative fuzzy programming model to solve MOFLFP ...with fuzzy parameters is transformed into crisp objective functions using α -cut of the fuzzy ...Then fuzzy programming method has ...
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A Compensatory Fuzzy Approach to Multi-Objective Linear Transportation Problem with Fuzzy Parameters
... the parameters have been expressed as interval values by the decision ...triangular fuzzy numbers bounded from below and above, ...the fuzzy objective value of the fuzzy transporta- tion ...
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Multi-objective chance constrained transportation problem with fuzzy parameters
... as fuzzy numbers. Using Lee and Li’s [15] α-cut method (1993), the fuzzy coefficients of objective functions are transformed into crisp ...formulation, fuzzy goals for objective functions are ...
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A fuzzy semi infinite optimization problem
... with fuzzy parameters are established, and a fuzzy function is defined, with its differentiability, convexity, and some important properties being studied in []; the fuzzy solution of ...
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Hotel Location Problem Using Erlang Queuing Model under Uncertainty (RESEARCH NOTE)
... using fuzzy logic and fuzzy queuing ...using fuzzy parameters in the profit function, the amounts of profit obtained for different locations are in the form of fuzzy numbers; thus, we ...
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Neuro Fuzzy Modeling of Design Parameters of Connecting Rod
... Reddy et al. [2] develop the Neuro-Fuzzy model for the prediction of surface roughness. The predicted and measured values are found fairly close to each other. The developed model is used to predict the surface ...
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Fuzzy based approach for packet dropping in wireless networks
... a fuzzy based packet dropping scheme for wireless networks in the context of future generation cellular ...a fuzzy controller for packet dropping based on three fuzzy parameters, namely, ...
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Duality in nonlinear programming problems under fuzzy environment with exponential membership functions
... in fuzzy mathematical programming problems with fuzzy ...convex fuzzy variables for fuzzy constrained programming, Yang [21] proved a convexity theorem with convex fuzzy ...
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Fuzzy Estimation Analysis of Photovoltaic Model Parameters
... a fuzzy-based methodology for the parameters estimation of PV ...circuit parameters: series resistance, shunt re- sistance, diode photo current, diode reverse saturation current and diodeideality ...
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Time series forecasting with interval type 2 intuitionistic fuzzy logic systems
... evolving fuzzy optimally pruned extreme learning machine (eF-OP-ELM), was reported for analysing this time ...for fuzzy systems based on online sequential ELM (OS-fuzzy-ELM) were also reported in ...
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The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System
... In 2011, we propose an adaptive framework of incorporating path testing techniques into the reliability estimation for modular software systems. Three estimated methods based on common program structures are presented to ...
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REAL-TIME SCHEDULING OF SOFT PERIODIC TASKS ON MULTIPROCESSOR SYSTEMS: A FUZZY MODEL
... Mamdani's fuzzy inference method proposed in 1975 by Ebrahim Mamdani [8] and the other is Takagi-Sugeno-Kang, or simply Sugeno, method of fuzzy inference introduced in 1985 ...
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ASSESSING LEARNING PARADIGMS IN TEXT CLASSIFICATION
... an fuzzy associative classifier learning model using Mapreduce framework which take advantage of Tid-list representation to extract the total classifier with in single scan to database and provides intuitiveness ...
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An approach to online identification of Takagi Sugeno fuzzy models
... For continuous online learning of the TS models a develop- ment of a new online clustering method responsible for model structure (rule base) learning online is needed. This requires re- cursive calculation of the ...
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Fuzzy-Genetic Algorithm-Based Direct Power Control Strategy for DFIG
... utilizing fuzzy controllers. Parameter setting in a fuzzy controller plays a vital role, especially under non-ideal grid ...a fuzzy-genetic algorithm-based direct power control (FGA-DPC) method is ...
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Optimum nominal method modification at the management of moving objects under uncertainty
... input parameters providing effective functioning of a moving object in the incompleteness data ...of fuzzy intervals and variables. Parameters of moving objects of autonomous navigation and function ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... proposed Fuzzy logic control method to improve the performance and reliability of the multicast routing protocols in ...nodes. Fuzzy logic is proposed to distinguish the strong and weak nodes in the ...the ...
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Soft Computing Application for Controlling Three Phase Induction Motor
... The decision making unit uses the conditional rules of ‘IF-THEN-ELSE’. In the first stage, the crisp variables e ( k ) and e ( k ) are converted into fuzzy variables [9]. The fuzzification maps the error and the ...
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Human Simulated Intelligent Controller with Fuzzy Online Self-Tuning of Parameters and its Application to a Cart-Double Pendulum
... using fuzzy control for swinging-up a cart-double pendulum ...key parameters and the system’s energy and the relationship between the relative motion attitude of two rods of a pendulum and the energy ...
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