Cloud-based decision framework for waste-to-energy plant site selection - A case study from China

Waste-to-energy (WtE) plant site selection is crucially important during the whole life cycle. Currently, the scholars launch some research in the WtE plant site selection. However, there are still two great problems in the present methods. Firstly, the uncertainty of information is not fully described. Secondly, the correlation among criteria lacks rationality, which is mainly manifested in two aspects: one is ignoring the correlation, and the other is measuring unreasonably. Firstly cloud model is introduced to describe the fuzziness and randomness of the information fully and precisely. Secondly, the 2-order additive fuzzy measures based on the Mobius transform and correlation coefficient matrix is introduced for fuzzy measure scientifically and reasonably. Thirdly, Cloud Choquet integral (CCI) operator is constructed to evaluate the alternatives. Finally, a case from China proves the effectiveness.