Adaptive Group Decision-Making Approach Research And Its Applications In The Supply Chain Partnership Selection

There are many multi-attribute decision-making problems in the fields of society, economy and management. The success of decision-making can not leave the scientific decision-making methods. In order to enhance the accuracy and avoid making mistakes in the complex decision-making problems, important decisions in practice are normally taken by a group of people whose collective decision making ability is considered to be more credible than individual opinions. Therefore, the theories and methods of multi-attribute group decision-making show a wide prospect of applications and the corresponding study is great significant. The thesis studies the methods of group decision-making with adaptive adjustment weights and its applications in the supply chain partnership.Firstly, the thesis reviews the theories and methods of multi-attribute group decision-making systematically, such as the theories and methods of multi-attribute decision-making, the methods of estimating the weights of experts and attributes.Secondly, the thesis studies the new method of fix on the weights of experts and attributes, proposes a method of group decision-making which can adjust expert and attribute weights adaptively based on the subjective weights. The proposed method employs entropy coefficient theories to get more reliable weights by comparing the difference between the individual and group's decision results. The above process will be repeated to get convergent weights.Finally, an application in the supply chain partnership is given. In the application, a company which sales Electric appliance takes the proposed method to select its suppliers and the result shows that the proposed method is feasibility.