PROJECT MANAGEMENT AND DEVELOPMENT
Authors: Koleci Baki , Koleci Rina 
Published: March 2020

Determinant systems - are systems in which the state of the system can be fully identified at any time even if the implementation of a specific control act or entry leads to a false state, which can be foreseen, then such a system is defined. Namely, the determinant system is a system whose behavior is fully known. Such systems consist of the elements between which precisely defined links exist, and their interconnections are known, so that when we know the prior state and the information processing algorithm we can predict the following state of the system. Governance with defined systems implies the existence of a specific purpose and criterion of governance. With these systems we mean real-material systems that exist in a given environment. Once determined, the timing breaks down to a small or large extent, depending on the changing environment, just as under the influence and influence of the system itself. There is no 100% defined system for this. Stochastic systems - are those in which the application of the controlling or influential action of inputs to the system transforms the known state of the system into one possible state, but not the only action. Stochastic meaning is the opposite of determination. Stochastic meaning is used when we want to mark phenomena (processes) which do not perform according to the prescribed law but contain a random character. Their prediction is based on false probability experience. In the stochastic set of systems belong composite systems, hence systems consisting of a large number of interconnected elements. Often with stochastic systems we refer to systems that cannot be described accurately in the language of mathematics either because the system has a large number of related elements unknown to us or because we know enough about the nature of the phenomena that occur. in the system itself, and therefore we cannot quantitatively describe them. Systems with stochastic behavior are thought of as systems where processes and changes in them are driven by insufficient causes for us. To govern these systems we need to know the probability of the origin of the particular state of the system in which they can be found after the implementation of the particular action (experiments).Equilibrium - is once and for all the right condition. When the system sets a state of equilibrium, then it tends to contain that state regardless of the circumstances that prevail in the surroundings. If the system with external or internal impact is removed from the equilibrium state and if it returns to equilibrium state even after the effects of those triggers are stopped, then it is a stable system. The stable system has the specified equilibrium time and does not change location and condition without the influence of external forces. Labile system - after exerting force from outside it returns to the previous state again with the help of another force. The system with large entropy does not return on its own. Label system processes usually progress and we stop them as needed. Indifferent systems - take the position and remain n and remain in it depending on the force acting on it.