This paper proposes an approach, called Protocol Configuration Decision Maker, for TCP to dynamically adapt to a network environment. The proposed mechanism monitors the network condition with parameters like loss rate. Then it consults a knowledge database to see whether a better performance can be achieved and replaces a relevant TCP module with the one instructed by the database. Through sim...

In real-life, imperfect information is commonly present in all the components of the decision making problem. In decision making problems a DM is almost never provided with perfect, that is ideal decision relevant information to determine states of nature, outcomes, probabilities, etc. We are known that, relevant information almost always comes imperfect. Imperfect information is information wh...

A quantum device simulating the human decision making process is introduced. It consists of quantum recurrent nets generating stochastic processes which represent the motor dynamics, and of classical neural nets describing the evolution of probabilities of these processes which represent the mental dynamics. The autonomy of the decision making process is achieved by a feedback from the mental t...

We give an introduction to nonlinear multiobjective optimization by covering some basic concepts as well as outlines of some methods. Because Pareto optimal solutions cannot be ordered completely, we need extra preference information coming from a decision maker to be able to select the most preferred solution for a problem involving multiple conflicting objectives. Multiobjective optimization ...

we analyze a sequential decision making process, in which at each stepthe decision is made in two stages. in the rst stage a partially optimalaction is chosen, which allows the decision maker to learn how to improveit under the new environment. we show how inertia (cost of changing)may lead the process to converge to a routine where no further changesare made. we illustrate our scheme with som...

decisions relating to most irrigation-planning problems need to be made in the face of hydrologic uncertainties, which make the irrigation-planning problem more complex. the uncertainties can be tackled by formulating the problem as fuzzy linear programming (flp). in the present study, single objective fuzzy linear programming (soflp) irrigation planning model was formulated for deriving the op...

This paper investigates the behaviour of multiple decision-maker organisations or bodies, operating in a stochastic environment. Behaviour with a delegated decision maker is examined. A crucial decision is when to delegate to another decision maker. The problem may be intrapersonal, as occurs when there are endogenously changing tastes, or interpersonal where delegation is intuitionally necessa...

Influence diagrams were developed as a graphical representation for formulating a decision analysis model, facilitating communication between the decision maker and the analyst [1]. We show several approaches for evaluating influence diagrams, determining the optimal strategy for the decision maker and the value or certain equivalent of the decision situation when that optimal strategy is appli...

This paper describes a new Preference-based Interactive Evolutionary (PIE) algorithm for multi-objective optimization which exploits the advantages of both evolutionary algorithms andmultiple criteria decision making approaches. Our algorithm uses achievement scalarizing functions and the potential of population based evolutionary algorithms to help the decision maker to direct the search towar...