Comparison of critical column buckling load in regression, fuzzy logic and ANN based estimations
In structural stability analyses, determining the critical buckling load is a crucial issue. Regression, fuzzy logic and Artificial Neural Network ANN algorithms can be used to determine critical buckling loads. This study compares the results of ...
New models for monitoring and clustering of the state of plant species based on semantic spaces
One of the tasks of a program of greenery monitoring is the task of determination of plant species which are the most adapted for severe ecological conditions of urban environment with the purpose of planning of various measures to be performed at ...
Homotopy analysis method for systems of integro-differential equations
In this paper, the application of the homotopy analysis method HAM for solving linear and nonlinear systems of integro-differential equations is presented. We used the above method for some nonlinear examples to show how implementation and efficiency of ...
A hybrid genetic algorithm and fuzzy set applied to multi-mode resource-constrained project scheduling problem
The multi-mode resource-constrained project scheduling problem MRCPSP consists of activities, in which multiple execution modes are available for each activity and must be scheduled subject to precedence and resource constraints such that the makespan ...
Efficient methods to schedule reentrant flowshop system
In order to apply a continuous improvement of their production systems, all managers are always trying to improve their production systems by optimizing their scheduling method. This involves the search for efficient methods for obtaining the best ...
The quasi-arithmetic triangular fuzzy OWA operator based on Dempster-Shafer theory
The belief structure quasi-arithmetic triangular fuzzy ordered weighted averaging BS-QTFOWA operator is developed by extending the quasi-arithmetic ordered weighted averaging operator to accommodate triangular fuzzy values by using Dempster-Shafer ...
Ranking function of two LR-fuzzy numbers
In this paper, we consider the following problems: 1. “Let à is a fuzzy number and x a real number. Then, what do we say about whether x is greater smaller than or equal to Ã?”. 2. “Let à and $\tilde{B}$ are two fuzzy numbers. Then, what do we say about ...
Goal programming approach for solving transportation problem with interval cost
This paper presents a fuzzy goal programming approach for solving multi-objective transportation problem with interval cost. The fuzzy goal programming approach is used for achieving highest degree of each of the membership goals by minimizing negative ...
Application of fuzzy subtractive clustering for optimal transient performance of automatic generation control in restructured power system
Nowadays, Automatic Generation Control AGC is a very impressive problem in restructured power system operation for providing electric power with high quality and reliability. In this paper, the three-area multi-units system has chosen for the AGC in ...
An intelligent neuro fuzzy temporal knowledge representation model for mining temporal patterns
Representation of temporal knowledge and analysis of temporal data is becoming a good practice for effective classification and prediction. Various semantic levels on knowledge representation schemes have been measured for temporal data. The existing ...
Linear programming with rough interval coefficients
In this paper, a linear programming LP problem is considered where some or all of its coefficients in the objective function and/or constraints are rough intervals. In order to solve this problem, we will construct two LP problems with interval ...
K-anonymous path privacy on social graphs
Growing popularity of social networking not only brings the convenience of information sharing but also concerns of privacy breaches. Information on social networks can be modeled as un-weighted or weighted graph data. To preserve privacy, k-anonymity ...
Hesitant triangular fuzzy information aggregation in multiple attribute decision making
In this paper, we investigate the hesitant fuzzy multiple attribute decision making with incomplete weight information. An optimization model based on the maximizing deviation method, by which the attribute weight can be determined, is established. For ...
Feature subset selection using improved binary gravitational search algorithm
Feature selection is one of the important activities in various fields such as computer vision and pattern recognition. In this paper, an improved version of the binary gravitational search algorithm BGSA is proposed and used as a tool to select the ...
A new method to obtain fuzzy Pareto set of fuzzy multi-criteria optimization problems
Decision making processes in imprecise environments are usually addressed by fuzzy multi-criteria optimization problems. It is significantly natural that complete information about non-dominated set for fuzzy multi-criteria optimization problem not only ...
Modeling and parametric optimization of investment casting process by uniting desirability function approach and fuzzy logic
Investment casting is accepted worldwide on the basis of the superior quality of the castings being produced in terms of high dimensional accuracy and surface finish. It usually employs disposable wax patterns and the quality of the wax patterns are ...
On similarity and entropy of neutrosophic sets
In this paper we have introduced the notion of distance between two single valued neutrosophic sets and studied its properties. We have also defined several similarity measures between them and investigated their characteristics. A measure of entropy of ...
Fuzzy Voronoi diagram for disjoint fuzzy numbers of dimension two
In this paper, we introduce “fuzzy Voronoi” diagrams for fuzzy numbers of dimension two FNDT by extension of crisp Voronoi diagrams for fuzzy numbers. The fuzzy Voronoi sites are defined as fuzzy numbers of dimension two. All the operations are defined ...
Stability in p-th moment for uncertain differential equation
An canonical process is stationary independent increment uncertain process whose increments are normal uncertain variables. Uncertain differential equation is a type of differential equation driven by the canonical process. This paper will give a ...
A new class of fuzzy sequences related to the ℓp space defined by Orlicz function
In this paper we introduce the new classes of sequences $\ell _\infty ^F$ M, A, φ, p, Δr, mFM, A, φ, p, Δr and CFM, A, p, Δr of fuzzy numbers defined by Orlicz function. We study their different properties and established some inclusion relation ...
Regional and Entropy component analysis based remote sensing images fusion
In this paper a new regional and entropy component analysis based fusion approach is proposed for multispectral and panchromatic images fusion. The input images are decomposed into low frequency subband and high frequency subbands by stationary wavelet ...
Lacunary statistical convergence of sequences of functions in intuitionistic fuzzy normed space
In this paper we study lacunary statistical convergence of sequences of functions in intuitionistic fuzzy normed spaces. We define concept of lacunary statistical pointwise convergence and lacunary statistical uniform convergence in intuitionistic fuzzy ...
A fuzzy based load frequency control for distribution network connected with mini hydro power plant
Mini hydro power plants MHPP are gaining attraction as a cost effective source for rural electrification in developing countries due to its environmental friendly operation. These MHPP plants suffer from the speed control problem due to continuous load ...
Lattice-valued interval soft sets --A general frame of many soft set models
Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainties. As a generalization of soft sets, many new concepts have been introduced in the recent years. In this paper, a new notion of lattice-...
Multi-granulation fuzzy rough sets
Based on analysis of Pawlak's rough set model in the view of single equivalence relation and the theory of fuzzy set, associated with multi-granulation rough set models proposed by Qian, two types of new rough set models are constructed, which are multi-...
Normal, maximal and product fuzzy subnexuses of nexuses
We discuss on the chain conditions of fuzzy subnexuses of a nexus and prove some related properties. Next, we give some important characterizations of normal fuzzy subnexuses of a nexus. Finally, we investigate the relationship between product and ...
A fuzzy milp-model for the optimization of vehicle routing problem
In this article, a novel model for the solution of a fuzzy vehicle routing problem is presented. The model originates from a crisp MILP Mixed Integer Linear Programming model previously presented on a conference. This work is motivated by a business ...
Applications of soft union sets to hemirings via SU-h-ideals
The aim of this article is to lay a foundation for providing a soft algebraic tool in considering many problems that contain uncertainties. In order to provide these soft algebraic structures, we introduce the concepts of soft union hemirings soft union ...
Implication BL-algebras
In this paper, we first introduce the notion of implication filters in BL-algebras and then state and prove some theorems which determine the relationships of these filters and other filters in BL-algebras. We also introduce the notion of implication BL-...
Weakly fuzzy efficient conditions for multiobjective fractional programming problem
It is the purpose of this article to establish some weakly fuzzy efficient conditions for multiobjective linear fractional programming problem MOFP under generalized convexity. Osuna et al., [27] derived some results regarding the optimality and duality ...