trapezoidal fuzzy membership function
A Two Phase Approach for Solving Linear Programming Problems by Using Fuzzy Trapezoidal Membership Functions
... the fuzzy set bounded by the feasible optimal solutions is normal and ...a fuzzy efficient compromise solution and therefore employed a two phase ...triangular membership function for the ...
6
An SVM-Fuzzy Expert System Design For Diabetes Risk Classification
... input fuzzy sets are created (BMI (VLow, Low, Medium, High), plasma glucose level (VLow, Low, Medium, High), blood pressure (VLow, Low, Medium, High), serum insulin (VLow, Low, Medium, ...The fuzzy sets are ...
6
Matrix Games with Trapezoidal Fuzzy Pay Offs
... of fuzzy matrix games are referred as matrix games with fuzzy goal and matrix games with fuzzy pay ...triangular fuzzy number. Here the trapezoidal numbers are considered where the pay ...
9
Solution of Fuzzy Maximal Flow Network Problem Based on Generalized Trapezoidal Fuzzy Numbers with Rank and Mode
... the membership function to the normal form, in some case ...generalize fuzzy numbers. The normal form of trapezoidal fuzzy number ware used by various papers for solving real life ...
10
Optimization of Multiple Responses in the Taguchi Method Using Desirability Function and Fuzzy Regression
... optimizing fuzzy multiple responses using desirability function and fuzzy ...A trapezoidal fuzzy regression model is formulated for each response utilizing the statistical regression ...
6
A Study on Bidiagonal Type-2 Triangular Fuzzy Matrices
... type-2 fuzzy set, which is an extension of the concept of an ordinary fuzzy set, was introduced by Zadeh in 1975 ...type-2 fuzzy set is characterized by a membership function, ...the ...
7
A Comparative Study of Two Factor ANOVA Model Under Fuzzy Environments Using Trapezoidal Fuzzy Numbers Gaussian Quadrature Rule
... ranked fuzzy numbers with total integral value ...generalized fuzzy number ...using membership function of fuzzy numbers ...with trapezoidal fuzzy numbers ...ranking ...
25
Fuzzy Decision Tree Construction in Crisp Scenario through fuzzified Trapezoidal Membership Function
... set. Fuzzy decision trees are basically used to represent the information in terms of fuzzy linguistic terms, which yields better results if imprecise measurements are present in the data ...
8
Solving Fuzzy Transportation Problem Using Trapezoidal Fuzzy Numbers K. Sangeetha 1, Priyadharshini. T2 , Mayuriya. S 2
... 1. Fuzzy set: A fuzzy set is characterized by a membership function mapping element of a domain, space or universe of discourse X to be the unit interval [0, 1] ...of membership ...
6
Urban Market Fire Disasters Management in Nigeria: A Damage Minimization based Fuzzy Logic Model Approach
... Matlab fuzzy logic toolbox various possible membership functions were numerically tested to identify the most suitable function for each linguistic ...A fuzzy inference system of the ...
6
Keywords Software development Effort Estimation, MMRE, Pred, BRE, RSD, RMSE, GMF, Tri MF and Trap MF,
... as Fuzzy Logic may offer an alternative for software effort ...Neuro fuzzy model created for three membership functions is compared with the existing neural network ...Neuro fuzzy model for ...
7
Pruning on Fuzzy Min-Max Neural Networks
... smaller fuzzy sets into a single fuzzy set class. Fuzzy min-max classification neural networks are built using hyperbox fuzzy sets which were initially defined by Zadeh ...[3]. Fuzzy ...
5
Introduce a Novel PCA Method for Intuitionistic Fuzzy Sets Based on Cross Entropy
... intuitionistic fuzzy situations has been ...Intuitionistic Fuzzy Sets (A-IFSs) in which we have an uncertainty due to a mixture of fuzziness and missing data ...
6
A fuzzy linear fractional programming problem with fuzzy homogeneous constraints in trapezoidal fuzzy numbers
... negative variables subject to fuzzy linear constraints. A system of system always has the trivial solution presented a fuzzy approach to multi objective linear programming problem. He also proposed a new ...
5
Preparation Of Papers For International Journal Of Scientific & Technology Research
... Watering plants is a job that is usually done every day, both for private plants at home, plants that exist in city parks and along sidewalks and plants that are made for cultivation. Watering these plants is one of the ...
5
Introduction to Fuzzy Control
... imprecise, fuzzy ways while machines and the computers that run them are based on binary ...reasoning. Fuzzy logic is a way to make machines more intelligent enabling them to reason in a fuzzy manner ...
5
A Modified Approach on Fuzzy Time Series Forecasting
... to trapezoidal approximation of fuzzy numbers, called the nearest trapezoidal approximation operator preserving expected interval and possesses many desired ...a trapezoidal fuzzy ...
11
1. An analysis of different criteria for ranking fuzzy numbers
... in fuzzy set theory pertained to representing uncertainty in human cognitive ...processes[5]. Fuzzy set is now applied to problems in engineering, business, medical and related health sciences, and the ...
9
Type 2 fuzzy elliptic membership functions for modeling uncertainty
... in fuzzy logic theory, no doubt almost all of them report the superiority of fuzzy logic systems over the conventional methods, may cause the readers get lost in this big ocean; and frankly speaking, only a ...
38
Optimization of fuzzy production inventory models for crisp or fuzzy production time
... Björk et al. (2012) mentioned that the uncertainties originate from different sources, but in many situations, the demand as well as the cycle time is fuzzy. In the context of Nordic process industry, the ...
35