A study of Multi Criteria Decision Model and their Application

Abstract

The Decision Analysis making is a complex job to carry out. On the other hand, the newlinedecision maker might be in doubt with respect to the best possible outcome which newlinefulfils the management needs. It can be said that the Decision Maker restless stress newlineand involved with his environment and he continuously associates the undertaken newlinedecisions and their outcomes under various scenarios. Thus, it can be said that the newlineorganizational objectives motivates the Decision Making capacity. The main newlineobjective of this study is to increasing the profit by establishing Goal Programming newlinemodel and by Inferred Preferences (conclude from evidence).The model used here newlinehelps to conquer the complication in making the decision model as it gives a better newlinedecision. The present investigation includes the evolution of Mathematical Model newlineusing Goal Programming technique by setting various set of goals for maximizing the newlineprofit by reducing the deviational values from goal. In this study a statistical data newlinewere collected, analyzed and formulated the model and used the above the suitable newlinetechnique to obtained the solution. Our study involves objective function, goal newlineconstraints and priorities in order to maximize the profit by minimizing the unwanted newlinedeviations. newlineIn this study we prepared general model for academic planning through Goal newlineProgramming. Some goals may achieve as closely as possible. Most of the public newlinehealth programs are executed through governmental funds, by a GP model allocated newlinefor the available funds to competitive health care subunits on the system of their newlineperformances. Find optimal solution to financial decisions of the management newlinethrough Goal Programming. And allocated the in-patient in acute care hospitals and newlinereduces the most of the marginal cost to the patient s length of stay with the best newlinetreatment by Linear Regression (Concluded from the evidences). newlineOur study may encourages in designing, available resource allocation, Academic newlineplanning, Public health programs (Non-Profit organizations) are executed by newlinegovernment funds, Health-Care by the hospitals and Financial decisions of the newlinemanagement problems by handling multiples of criteria s or objectives, which will newline newlineassist to make better decision. Our study is useful for the analysis which helps newlinedecision maker in a complication system of meeting the objectives. newline