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Publication Date: September 3, 2012 | Series: Analytic hierarcy process series
This book is about how to make decisions using the Analytic Hierarchy Process. The basics of the theory are described in a clear, non-technical manner with many examples. It is suitable for business leaders and also is probably the best book for introducing the AHP to students at the college and graduate level. In this fifth printing of the book the reader will find a new appendix containing real-life applications that validate the use of the fundamental scale of the AHP.
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This book addresses the issue of how to structure a complex situatioin, identify its criteria and other factors whether intangible or concrete, measure the interactions among them in a simple way, and synthesize all the information to obtain priorities. The priorities can then be used in a fenefit/cost setting to develop portfolios of activities, one of the major concerns of organizations today.
About the Author
Thomas L. Saaty is a Distinguished University Professor at the University of Pittsburgh, where he teaches at the Pitt Graduate School of Business. He is best-known as being the modern mathematician who figured out a way to measure intangibles, and is the inventor, architect, and primary theoretician of the Analytic Hierarchy Process, a decision-making framework used for large-scale, multiparty, multi-criteria decision analysis, and of the Analytic Network Process, its generalization to decisions with dependence and feedback. Saaty is a member of National Academy of Engineering (2005), and in 2008 he received the Impact Prize from the Operations Research Society INFORMS for how the AHP has revolutionized the way we resolve complex decision problems. The publication of his books on the Analytic Hierarchy Process and the release of PC-based software such as SuperDecisions and web-based collaborative software such as Decision Lens have led to widespread dissemination of the process. The AHP has been applied worldwide to help decision makers in every conceivable decision context across both the public and private sectors, with literally thousands of reported applications.
The content is definitely designed for managers and decision makers. The beginning chapters deal heavily with overall situation in which the reader must make a decision together with its consequences. The way the subjet is presented is excellent. Everyone knows that complex unstructured problems are hard to handle, but the approach this book takes makes it much easier to swallow. The fact that it uses simple arithmetic is also a beautiful plus. I have burrowed several of its case studies to use in real life financial decisions
I believe this is a very good book to teach this subject from ground up. However, readers not so much experienced with computers get the wrong impression that one can't solve an AHP model without Expert Choice software, which is wrong! If you have adequate hands-on experience with Microsoft Excel, you will see that it is more than enough to tackle even rather tough models like my colleagues and I did in the case of a model consisting of 8 criteria and 39 subcriteria. The good thing is that the book uses simple arithmetic throughout!
This is a good book for teaching at the college level. It gives a light brush with the theory and shows how it can really be used to make actual decisions. Students like it.