In this paper the solution procedure of first order linear homogeneous ordinary differential equation in fuzzy environment is described. It is discussed for three different cases. Here fuzzy numbers are taken as Generalized Triangular Fuzzy Numbers (GTFNs). Further two bio mathematical models are numerically illustrated

Theoretical studies for calculating molecular structure parameters of naphthalene and its simplest derivatives with electron-donating groups (diamino) in different positions were performed using DFT. Based on B3LYP with 6-31(d, p) basis set was used to investigate the effect on the electronic and structure properties for the positional variation of the amino subgroup in the naphthalene. The op…

In this communication, we are interested in finding, under different conditions, the integrals of motion for the nonlinear dynamical system of modified Chua’s circuit, applying the leading order behavior in the neighborhood of a singularity.

The Bayesian researcher should know the basic ideas underlying Bayesian methodology and the computational tools used in modern Bayesian econometrics. Some of the most important methods of posterior simulation are Monte Carlo integration, importance sampling, Gibbs sampling and the Metropolis- Hastings algorithm. The Bayesian should also be able to put the theory and computational tools togeth…

The aim of this communication is to study the chaos synchronization of coupled Sprott model L via hybrid feedback control method and tracking control method. Numerical simulation is performed to test the analytical findings

In this paper, a class of Newton-type methods known as generalized power means Newton method for solving nonlinear equations is proposed. The new method includes power means instead of arithmetic mean when trapezoidal integration rule is used, thus replacing f¢(x) in the classical Newton method. Also, three arbitrary parameters are introduced to generalize the method and to obtain higher orde…

The Multiple Sequence Alignment (MSA) methods aims to align several sequences together and find similarities, or differences and inferstructural, functional or evolutionary relationships. Since a multiple sequence alignment problem can be solved by a well known dynamic programming algorithm have exponential time complexity, the heuristic approaches are commonly used. In this paper, multiple se…

The purpose of this paper is to study fully fuzzy multi-choice multiobjective linear programming problem (FFMMOLPP), in which, right hand side of each constraint has two choices. With the help of ranking function, deviation distance and deviation degree between two fuzzy numbers are defined. A new method is proposed to find the d - fuzzy pareto optimal solution of FFMMOLPP which is defuzzified …

This paper studies a three-level large scale linear programming problem, in which the objective functions at every level are to be maximized. Three-level programming problem can be thought as a static version of the Stackelberg strategy, which is used leader-follower game in which a Stackelberg strategy is used by the leader. This paper proposes a fuzzy approach for solving a three-planner mod…

In this work, we present a mathematical model for the dynamics of glucose regulatory system under the combined use of dieting and physical activity, the model is an improvement on the work by Brian et al (2000). In our proposed model, we incorporated a parameter h by defining itin terms of; physical activity and dieting (calorie restriction) as factors that affects glucose and insulin homeosta…