| The game of bridge consists of two parts, bidding and playing. Players bid to make the contract, then play the cards to finish the contract, finally got the score according to the result of the contract. The bid should follow certain rules, summarized up, called bridge bid method. There are a lot of software realized the bridge online platform. There are also some software realized Artificial Intelligence Bridge System. But there’s no software can help the players to evaluate the bridge bidding method, in order to enhance the level of bidding. Nowadays, the way to evaluate the bridge bidding method is manual testing, whose efficiency is lower. Most of all, not all the players can find a certain level of player to evaluate the bridge bidding method of their own.The purpose of this paper is to realize the Results Comparing System, in which the players can input their own bridge bidding method. The computer can bid large quantities of card case according to the logic of the bridge bidding method, then compare the result between the bidding and the double dummy. The computer can evaluate the bridge bidding method through discovery the different result based on the double dummy result, which is the deficiencies of the bridge bidding method. The players can modify and supply their bridge bidding methods more targeted, in order to improve the level of bidding. In this paper, based on the characteristics of the bridge bidding method, borrowed the idea of the imperfect information game, the input method of the bridge bidding method is designed, making the input information as close as possible to the perfect information game, which can help the computer easier to make better decisions and also help the developers to maintain the database more easily. In this paper, combined with the bidding process, if there is the defenders competitive bid and the result of the contract, the four bridge bidding method results comparing algorithms have been designed. They are Point Comparing Algorithm, Point Comparing&Trump Match Algorithm, Point Comparing&Defender Competitive Algorithm and Point Comparing&Trump Match&Defender Competitive Algorithm.In this paper, the system consists of four function modules, including computer deal, bridge bidding method input, double dummy result parse and result comparing. After masses of card cases it can be seen that the bridge bidding method results comparing algorithms designed in this paper have certain feasibility and validity. The bridge bidding method in automatic testing has better efficiency than that in manual testing. In this paper, the Results Comparing System designed has a certain use value and significance of reality. |