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Bijay K. Jayaswal

Analytic Hierarchy Process (AHP) in Software Development (Digital Short Cut), The

Ebook (PDF Format)

The Analytic Hierarchy Process (AHP) is an advanced technique that supports decision makers in structuring complex decisions, quantifying intangible factors, and evaluating choices in multiobjective decision situations. It is a comprehensive and rational decision-making framework that provides a powerful methodology for determining relative worth among a set of elements. AHP is especially suitable for complex decisions that involve the comparison of decision elements which are difficult to quantify. The AHP, and its more recent version the Analytic Network Process (ANP), were developed by Dr. Thomas Saaty and have been applied in a wide varie… Mehr

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Produktdetails


Weitere Autoren: Patton, Peter C. / Forman, Ernest H.
  • ISBN: 978-0-13-235135-5
  • EAN: 9780132351355
  • Produktnummer: 31715886
  • Verlag: Pearson ITP
  • Sprache: Englisch
  • Erscheinungsjahr: 2007
  • Seitenangabe: 54 S.
  • Plattform: PDF
  • Auflage: 1. Auflage

Über den Autor


Bijay K. Jayaswal is the CEO of Agilenty Consulting Group, LLC. He has held senior executive positions and has consulted in quality and strategy for the last 25 years. His consulting and research interests include value engineering, process improvement, and product development. He has taught engineering and management at the University of Mauritius and California State University, Chico and has directed MBA and Advanced Management programs. He has helped introduce corporate-wide initiatives in reengineering, Six Sigma, and Design for Six Sigma and has worked with senior executive teams to implement such initiatives. Dr. Peter C. Patton is professor of Quantitative Methods and Computer Science at the University of St. Thomas, St. Paul, Minnesota. He also is Chairman of Agilenty Consulting Group. He has taught at the Universities of Minnesota, Paris, and Stuttgart and has held the position of Chief Information Officer at the University of Pennsylvania. He was Chief Technologist at Lawson Software from 1996 to 2002. He was Lawson's representative on the Technical Advisory Committee of IBM's SanFrancisco(TM) Java Framework project. He has been involved in computer hardware and software development since 1955. Dr. Ernest H. Forman is a professor of Decision Sciences at George Washington University's School of Business. He has extensive experience with executive decision-making methodologies, resource allocation, project portfolio management, operations management and statistics. He received one of the first United States patents issued for computer software and designed Expert Choice, a computerized implementation of the Analytic Hierarchy Process, which is now used extensively worldwide. Dr. Forman's expertise is widely recognized and he is frequently consulted by organizations such as IBM, MERCK, General Motors, Ford, AOL, NIST, Boeing, GAO, IRS, NASA, CIA, DoD, state, and local governments. Dr. Forman has authored Decision by Objectives, and has coauthored An Analytic Framework for Marketing Decisions, The Hierarchon-A Dictionary of Hierarchies, and Advances in Telematics.

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