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Документ Відкритий доступ How to make and justify a decision: the analytic hierarchy process (ahp) part 1. Examples and applications(КПІ ім. Ігоря Сікорського, 2002) Saaty, Thomas L.We describe and discuss a logical approach, the Analytic Hierarchy Process (AHP), that can be used to make decisions. It involves breaking the problem down into finer and finer parts so that one is called upon to give a judgment comparing only a pair of issues in each judgment.Документ Відкритий доступ The analytic network process. Examples. Part 2.3(КПІ ім. Ігоря Сікорського, 2003) Saaty, Thomas L.We give here the details of an application of the ANP to National Missile Defense (NMD), a $60 billion decision (one of the costliest undertaking ever) by the United States to deploy an anti-nuclear-missile missile defense system. This study I did in September 2000 developed with its strategic criteria, and benefits, opportunities, costs and risks. Deploy NMD is the highest priority outcome, that is validated by sensitivity analysis. It was presented to the National Defense University in Washington in February 2002. In mid-December 2002 the US Government announced that it planned to develop the NMD — at best an interesting coincidence. Another example, done in September-October 2002, was about the strategy that the US should follow to remove the Saddam Hussein regime in Iraq. Going with the UN was the best outcome followed by a going alone or with a coalition.Документ Відкритий доступ Theory of the analytic hierarchy and analytic network process – examples. Part 2.2(КПІ ім. Ігоря Сікорського, 2003) Saaty, Thomas L.In this part we introduce the role of benefits, opportunities, costs and risks (BOCR) in decision-making and how to establish priorities for them. We give an example of a real life application of the US Congress acting on China joining the World Trade Organization (WTO) mailed to the US congressional committee before that decision. We then introduce and apply the Analytic Network Process and its concept of a supermatrix to make decisions with dependence and feedback and illustrate its application for a single “control” criterion of market share. This will be followed in Part 2.3 by a full BOCR application in the context of the ANP.