Graduate Employment Decision-making based on Analytic Hierarchy Process

Abstract

Introduce the basic ideas, principle and modeling approach of the analytic hierarchy process and take examples of post selection and decision of graduates, making specific demonstration about the utilization of AHP to prove the scientificity and practicability of AHP for multi-attribute decision-making problems. There may be several kinds of natural conditions facing the people, and meanwhile there are also several kinds of action plans alternative for people when they are dealing with problems. Decision maker is required to make the decision based on the known information in such case, i.e. select the optimal action plan, and such problems are classified into decision-making problems (1-3). The several natural conditions faced by people are also known as natural state or abbreviated to state that is existed objectively and uncontrollable factor. The alternative action plans are collectively referred to as decision that is controlled factor. The decision maker is responsible for selecting the plan. As a major constituent part of the decision-making analytical problems, the multi- attribute decision-making is widely existed in the real life. For example, buy a house. It is necessary to comprehensively consider the price, area, floor, position, surrounding environment and other various factors of the house. Although the multi- attribute decision-making problems lie in different backgrounds, they usually have some common features: ①It is always mutual conflicting between attributes (with different dimensions); ②There may be qualitative attribute and quantitative attribute in an attribute set at the same time; ③Attribute normally constitute a hierarchical structure; ④Sometimes the decision information is not complete, and the decision maker can only provide the incomplete information of decision parameters; Based on the link where the decision maker provides information and its sufficient degree, the multi-attribute decision-making can be classified into 3 categories. They are decision without preference information, decision with attribute preference information and decision with preference information among the alternative plans. In decisions with attribute preference information, such decisions with the known attribute weight base information are applied most widely to create linear distribution method, simple weighting method, AHP and other classical decision-making methods. Mechanisms of various multi-attribute decision-making methods are also varied and have different application scopes in practice. By contrast, AHP is more useful