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Non-linear membership function

Intuitionistic Fuzzy Optimization on Structural Design: A Comparative Study

Intuitionistic Fuzzy Optimization on Structural Design: A Comparative Study

... considering non- linear membership and non-membership function for optimizing the design of plane truss structure with multiple objectives subject to a specified set of ...with ...

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Solving Multi-Objective Structural Design Problem using Fuzzy Optimization Method: A Comparative Study

Solving Multi-Objective Structural Design Problem using Fuzzy Optimization Method: A Comparative Study

... objective function. We made a comparative study of linear and non-linear membership function to see its impact on optimization and to get to the depth of such optimization ...

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Intuitionistic Fuzzy Multi–Objective Structural Optimization using Non-linear Membership Functions

Intuitionistic Fuzzy Multi–Objective Structural Optimization using Non-linear Membership Functions

... using non-linear membership and non-membership function for optimizing multi objective structural ...with non- linear membership ...

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Solution of Multi-Objective Transportation Problem Via Fuzzy Programming Algorithm

Solution of Multi-Objective Transportation Problem Via Fuzzy Programming Algorithm

... hyperbolic membership function, then the crisp model becomes ...the linear membership ...the linear membership function, it is shown that the fuzzy optimal values do not ...

7

Haar Ranking of Linear and Non Linear Heptagonal Fuzzy Number and Its Application

Haar Ranking of Linear and Non Linear Heptagonal Fuzzy Number and Its Application

... considered linear membership function with symmetry, defined arithmetic operations and proposed a ranking method for solving fuzzy transportation problem ...new membership function on ...

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Intuitionistic Fuzzy Multi-Objective Non Linear Programming Problem (IFMONLPP) Using Taylor Series Approach

Intuitionistic Fuzzy Multi-Objective Non Linear Programming Problem (IFMONLPP) Using Taylor Series Approach

... (IFMOQPP). Membership function and non-membership functions associated with each objective of the problem are transformed by using the first order Taylor polynomial series and the ...

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A New Fuzzy SVM based on the Posterior Probability Weighting Membership

A New Fuzzy SVM based on the Posterior Probability Weighting Membership

... the membership of samples where the basic principle is based on the relative importance in class or where the size of contribution of class in ...While membership was deeply studied by many researchers, but ...

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FUZZY OPTIMIZATION USING EXTENDED KALMAN FILTER

FUZZY OPTIMIZATION USING EXTENDED KALMAN FILTER

... the non linear version of the Kalman filter are used to optimize the membership function of fuzzy controller which is having two input and one output ...a non linear dynamic ...

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Solution of Fuzzy Multi-Objective Linear Programming Problems using Fuzzy Programming Techniques based on Exponential Membership Functions

Solution of Fuzzy Multi-Objective Linear Programming Problems using Fuzzy Programming Techniques based on Exponential Membership Functions

... objective linear programming ...fuzzy linear programming problem is to change them into corresponding deterministic linear ...objective linear programming problem. H.M.Nehiet.al[11]. used ...

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Racial Disparity in Social Spatiality: Usage of National Parks and Opera Attendance

Racial Disparity in Social Spatiality: Usage of National Parks and Opera Attendance

... generate membership function from data set D ij . The linear regression model is the simplest ...extend linear regression to non-linear regression ...bound membership ...

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PSYCHOMETRIC PREDICTION OF THE DIAGNOSIS OF AUTISM SPECTRUM DISORDER

PSYCHOMETRIC PREDICTION OF THE DIAGNOSIS OF AUTISM SPECTRUM DISORDER

... predict membership in the autism and non-autism diagnostic ...discriminant function analysis was repeated using stepwise entry ...the linear combination of predictor variables Speaks in Full ...

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Review on: - Human Identification using GAIT          Recognition Technique with PAL and PAL 
          entropy, SVM and k-means with LDA

Review on: - Human Identification using GAIT Recognition Technique with PAL and PAL entropy, SVM and k-means with LDA

... kernel function which computes a dot product in some possibly high dimensional feature ...generate non-linear decision boundaries using methods designed for linear ...

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Solving fuzzy linear programming problems with linear membership functor-revisited

Solving fuzzy linear programming problems with linear membership functor-revisited

... Abstract. Recently, Gasimov and Yenilmez proposed an approach for solving two kinds of fuzzy linear programming (FLP) problems. Through the approach, each FLP problem is first defuzzified into an equivalent crisp ...

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A Note on Stochastic Orders

A Note on Stochastic Orders

... a function X: Ω→F(R) where (Ω, A,P) is a probability triple and F(R) denotes the set of all canonical fuzzy ...a function X: Ω → F(R n ) where (Ω, A,P) is a probability space and F(R n ) indicates all ...

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Vol 5, No 7 (2014)

Vol 5, No 7 (2014)

... The aim of this paper is to present a method to solve the MOQOP with the help of TPS method at the optimal point of each quadratic objective function in the feasible region. The proposed method to solve MOQOP ...

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A Refinement on the Earlier Technique for Nonlinear Programming Problem in Fuzzy Environment

A Refinement on the Earlier Technique for Nonlinear Programming Problem in Fuzzy Environment

... the membership function or grade of membership of x in à which maps x to the membership range M (when M contains only the two points 0 and 1), à is non fuzzy and µ à is identical to the ...

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Correlation between Demographic and Socio-Economic Factors among Undergraduate Medical Students in Taif University, Saudi Arabia

Correlation between Demographic and Socio-Economic Factors among Undergraduate Medical Students in Taif University, Saudi Arabia

... Non-smoker students had the highest GPA (mean rank was 139.04) whereas daily smokers had the lowest GPA (mean rank was 71.14). The difference was statistically significant, p=0.001. Students who never tried ...

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Seamless Multi Projector Displays Using Nonlinear Edge Blending

Seamless Multi Projector Displays Using Nonlinear Edge Blending

... a linear relationship between the fusion fade, makes a direct overlap between the “light zone” effects as much as possible to eliminate in order to achieve real seamless ...

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INTUITIONISTIC FUZZY SIMILARITY MEASURE BASED ON TANGENT FUNCTION AND ITS APPLICATION TO MULTI-ATTRIBUTE DECISION MAKING

INTUITIONISTIC FUZZY SIMILARITY MEASURE BASED ON TANGENT FUNCTION AND ITS APPLICATION TO MULTI-ATTRIBUTE DECISION MAKING

... of membership, degree of non-membership and degree of ...considers membership, non-membership and hesitancy degree by taking one time inspection for ...

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More on vague sets

More on vague sets

... based membership and that more expressive in capturing vagueness of data as the notion of truth membership function , false membership function and uncertainty ...

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