Project Management Consultant (PMC) plays a vital role in the overall performance of any project. Selecting right PMC for right project is the most crucial challenge for any construction owner. Thus, PMC selection is one of the main decisions made by owners at the early phase of construction project. It is not easy for the project owner to select a competent PMC due to the fuzziness, imprecision, vagueness, incomplete and qualitative criteria of the decision. This paper presents a model for selecting PMC contractor using the Fuzzy Analytical Hierarchy Process (FAHP). And a fuzzy number based framework is proposed to be a viable method for PMC contractor selection. A case study to illustrate the application of the model is also presented in this paper.

Prioritizing climate change mitigation measures could help to identify most feasible or most nationally appropriated mitigation actions. This process can also provide important inputs for the development of national climate change strategies or policies. The paper applies Delphi method to prioritize criteria for potential climate change mitigation technology in the metallurgical sector in Vietnam. The consultation process has been done with ten experts in only two cycle to reach Kendall (W) value over 0.5. Then, 11 out of 21 criteria have been selected for Multi-Criteria Decision Analysis (MCDA) in prioritizing mitigation options in iron and steel, lead, zinc, tin and aluminium productions. Mitigation options with highest scores will be proposed for mitigation target of the metallurgical sector which could be inputs for NDC of industrial sector. The selected criteria include 01 indicator in emission reduction (GPT1), 01 indicator in environmental impacts (MT1), 01 indicators in social impacts (XH3), 02 indicators in economic impacts (KT1, KT2), 02 indicators in sustainable development impacts (PTBV1, PTBV2) and 04 indicators in MRV (MRV1, MRV2, MRV3, MRV4).