Comparative Research And Programming Realization On Multiple Objective Linear Programming In Decision Support System

Decision Support System is one of the hotspots of computer applications in recent years. It combines human's intelligence with computer's function and improves the effect of decision making. DSS is a computer-based support system, it can deal with ill-structured problems, and it serves decision makers. DSS is a cross-subject that relates to mathematics, computer science, statistics, operational research, KA (Knowledge Acquire), data visibility, high performance computation, ES (Expert System), behavior science, system theory, etc.Linear Programming (LP) is not only an important branch of operational research, but also one of the static optimization mathematical programming methods in DSS. As a mathematical measure, LP is applied to management decision making widely. The application of Multiple Objective Linear Programming (MOLP) is wider; because there are much more problems involved multiple objective functions. This thesis discusses and compares several methods of MOLP that have been broadly used in practical decision making problems, and program three methods of them.According to how decision makers (DM) participate in solving problems, the method of MOLP can be divided into two kinds: interactive and non-interactive method. DM's participation is important to solving the MOLP problems, especially some preference information given from the DM. The DM and analyst have to select one from many MOLP methods when they solve some MOLP problems. So, which kind of methods should be chosen and how to select one from so many methods? Because different methods have different characteristics, different methods should apply to different practical problems. And so, how to choose one suitable method should be one of theimportant steps. This thesis discusses and studies several MOLP methods deeply, and then analyzes these methods and gives some rules and conclusion about what kinds of practical problems these methods adapted to respectively.Considering the hotspot of the research in MOLP is in the fuzzy MOLP, we should use non-interactive methods to save time when we solved the fuzzy MOLP problems.