Plenary Lecture

Selection Problems and Multi-criteria
Decision Making

Professor Alexey L Sadovski
Director of the Center for Information Assurance,
Statistics, and Quality Control
Texas A&M University-Corpus Christi
6300 Ocean Dr. Corpus Christi, TX 78412
USA
E-mail: Alexey.Sadovski@tamucc.edu

Abstract: The presentation deals with ranking of alternatives or selecting the best one from the given set of alternatives. The process is based on some objective data about alternatives as well as it is based on subjective information provided by experts. The goal is to find consensus ranking, we will discuss different approaches such as Condorcet principle, Kemeny median, and rating methods of preference ranking. Selection problems have a lot of applications such as to choose the best projects, judging in sports, evaluations, etc. The important application is to multi-criteria decision making, namely to find optimal solutions when we deal with many objectives in the given problem.

Brief Biography of the Speaker:
Dr. Sadovski is the Professor of Mathematics at Texas A&M University-Corpus Christi (TAMUCC) and the Director of the Center for Information Assurance, Statistics and Quality Control. He teaches different courses in the mathematics program, and he is also a member of the Ph.D. faculty in Coastal and Marine System Science at TAMUCC. He has taught undergraduate, graduate and post-graduate courses at the Moscow Institute of Transport Engineers and at Texas A&M System for over 32 years. His course subjects and research interests include: PDE, Linear Algebra, Optimal Control, Probability Theory and Statistics, Stochastic Processes, Operation Research and Decision Making, Optimization, Advanced Mathematical Modeling, Modeling of Natural Systems, and many more. Over 70 books and papers by Dr. Sadovski have been published in many countries and in different languages. He has been the Chair of a few international conferences and seminars as well as the Chair of many special sessions at national and international meetings.

Education:
M.S. Applied Mathematics, Moscow Institute of Transport Engineers, College of Automatic and Computing Technology, Moscow, USSR, 1974 Ph.D. Physical and Mathematical Sciences, Academy of Science of the USSR, 1979

Area of Expertise / Interest:
Computer and Computation Research; Mathematics; Modeling; Decision, Risk and Management Science; Methodology, Measurement, and Statistics