In this paper, an integrated inventory model is developed from the perspective of a single vendor and multi-buyers for deteriorating items under fuzzy environment and inflation. In the development of the model, it is assumed that all costs parameters, demand and the production rates are imprecise in nature; they are represented by the trapezoidal fuzzy numbers, as these parameters are not const...

This paper presents an implementation of fuzzy-logic controller to solve the unit-commitment and economic dispatch problem of thermal generation plant with the main objective of evaluating the total minimum operating cost for each loading condition while subjected to a variety of constraints. The model in this study contains five generation units and the daily load demand is subdivided into 12 ...

Now the current scenario software quality and cost estimation are the most challenging or more important activities in software development organizations. Software companies are focused on minimizing software error, producing good quality software products within the estimated budget. In this article, the fuzzy based methods to improve the software quality as well as minimizing the internal or ...

In this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large eld called ne...

This paper deals with the transportation problem by considering the when the passenger capacity of an aircraft as a fuzzy parameter to minimize the operating cost. The passenger capacity of an aircraft is assumed to be fuzzy numbers with trapezoidal membership function. By the graded mean integration representation method, the model will be derived in the fuzzy sense in order to obtain the opti...

In this paper, an Economic Order quantity (E.O.Q) model with unit production cost, time depended holding cost, with-out shortages is formulated and solved. In most real world situation, the objective and constraint function of the decision makers are uncertainty in nature so the coefficients, indices the objective function and constraint goals are imposed here in fuzzy environment The problem i...

A purchasing inventory model with shortages where carrying cost, shortage cost, setup cost and demand quantity are considered as fuzzy numbers. The fuzzy parameters are transformed into corresponding interval numbers and then the interval objective function has been transformed into a classical multi-objective economic ordering quantity (EOQ) problem. To minimize the interval objective function...

This article considers the problems of maximum flow and minimum cost flow determining in fuzzy network. Parameters of fuzzy networks are fuzzy arc capacities in the case of maximum flow finding and transmission costs of one flow unit in the case of minimum cost flow finding. These parameters are represented as fuzzy triangular numbers. Conventional rules of operating with fuzzy triangular numbe...