An improved PROMETHEE II method based on Axiomatic Fuzzy Sets

作者：Tian, Xiaojuan^*; Liu, Xiaodong; Wang, Lidong

来源：Neural Computing & Applications, 2014, 25(7-8): 1675-1683.

DOI：10.1007/s00521-014-1651-8

• Multi-attribute decision-making
• PROMETHEE II
• AFS theory
• Attribute weights

This paper proposes an improved Preference Ranking Organization Method for Enrichment Evaluations II method based on Axiomatic Fuzzy Sets (AFS). With AFS, the preference functions of alternatives can be easily decided by the ranking and difference degrees of performance values on each attribute. Furthermore, the method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. In case study, the evaluation of the industrial economic benefit of 16 provinces or municipalities of China is used to demonstrate the performance of the proposed method. The ranking results show that the whole evaluating procedure is feasible and effective.

• 出版日期2014-12
• 单位大连海事大学