Most of data in Multi-attribute decision making (MADM) problems are changeable rather than constant and stable. Therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. In this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can dete...

In this paper we propose auction algorithms for solving several types of assignment problems with inequality constraints. Included are asymmetric problems with different numbers of persons and objects, and multiassignment problems, where persons may be assigned to several objects and reversely. A central new idea in all these algorithms is to combine regular auction, where persons bid for objec...

In recent years, auction theory has been extensively studied and many state-of-art solutions have been proposed aiming at allocating scarce resources (e.g. spectrum resources in wireless communications). Unfortunately, most of these studies assume that the auctioneer is always trustworthy in the sealedbid auctions, which is not always true in a more realistic scenario. On the other hand, perfor...

In this paper, a combinatorial reverse auction mechanism is proposed for selecting the most efficient service-providers for resolving sustained power interruptions in multiple regions of an electric power distribution company’s responsibility area. Through this mechanism, supplying the required service in each region is assigned to only one potential service-provider considering two criteria in...