Flexible decision method for resource allocation

Summary form only given. The resource allocation problem is a multiobjective flexible decision problem. This kind of decision problem consists of many DMs, including one leader DM and many follower DMs. The leader DM uses the technique of large-scale system decomposition and coordination to look for allocation schemes according to the information provided by follower DMs. To solve this kind of decision problem, the authors present a flexible decision method that utilizes large-scale system decomposition, coordination, and incentive control. This method consists of two parts. The maximum method is used to solve the multiobjective flexible decision. According to the characteristics of a resource allocation problem, the authors give the iterating algorithm by means of piecewise linearization. The algorithm is proved to be convergent. The second part of the method is incentive control, which induces the follower DMs to tell the truth. Based on a real situation in China, a contract mechanism has been designed which is ε-inducible for the true information and encourages follower DMs to work