Management science is a di scipl ine dedicated to the development of techniques that enable decision makers to cope with the increasing complexity of our world. The early burst of excitement which was spawned by the development and successful applications of linear programming to problems in both the public and private sectors has challenged researchers to develop even more sophisticated methods to deal with the complex nature of decision making. Sophistication, however, does not always trans 1 ate into more complex mathematics. Professor Thomas L. Saaty was working for the U. S. Defense Department and for the U. S. Department of State in the late 1960s and early 1970s. In these positions, Professor Saaty was exposed to some of the most complex decisions facing the world: arms control, the Middle East problem, and the development of a transport system for a Third­ World country. While having made major contributions to numerous areas of mathematics and the theory of operations research, he soon realized that one did not need complex mathematics to come to grips with these decision problems, just the right mathematics! Thus, Professor Saaty set out to develop a mathematically-based technique for analyzing complex situations which was sophisticated in its simplicity. This technique became known as the Analytic Hierarchy Process (AHP) and has become very successful in helping decision makers to structure and analyze a wide range of problems.

Assisted by: J.M. Alexander, W.D. Daniel, J.G. Dolan, L.P. Fatti, B.L. Golden, R.P. Hamalainen, P.T. Harker, D.E. Levy, R. Lewis, M.J. ßiberatore, E.R. MacCormac, R.J. Might, K.H. Mitchell, W.R. Partridge, J.B. Roura-Agusti, J. Ruusunen, T.L. Saaty, K. Tone, L.G. Vargas, J.G. Vlahakis, Q. Wang, E.A. Wasil, S. Yanagisawa