ばいちょ(売価調査)、価格比較とネットでのお買い物を楽に

内容説明 Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions， this book provides a self-contained， comprehensive and up-to-date presentation of uncertain programming theory， including numerous modeling ideas， hybrid intelligent algorithms， and applications in system reliability design， project scheduling problem， vehicle routing problem， facility location problem， and machine scheduling problem. Researchers， practitioners and students in operations research， management science， information science， system science， and engineering will find this work a stimulating and useful reference.