Affiliations: [a] Management College, Ocean University of China, Qingdao, China
| [b] Faculty of Economics, Matej Bel University, Tajovského, Banská Bystrica, Slovakia
| [c] Faculty of Civil Engineering, Slovak University of Technology, Radlinského, Bratislava, Slovakia
| [d] Department of Algebra & Geometry, Faculty of Science, Palacky University Olomouc, Olomouc, Czech Republic
| [e]
Machine Intelligence Institute, Iona College, New Rochelle, NY, USA
| [f] Business School, Nanjing Normal University, Nanjing, China
Correspondence:
[*]
Corresponding author. LeSheng Jin, Business School, Nanjing Normal University, Nanjing, China. E-mail: [email protected].
Abstract: This work firstly proposes some weight adjusting and preference interfering methods to generate more suitable weight vector in two-tier multi-criteria decision making. The proposed models simultaneously consider the original weight information and subjective preferences of decision makers under interval numbers based evaluation environments. A recently proposed weights allocation method based on convex poset is applied to determine the weight vectors from subjective preferences. With well adjusted and melted weight information, some fuzzy comprehensive evaluations are realized by applying Shilkret Integrals with melted preferences. A numerical example with corresponding decision rules for online shop evaluation problem is also presented for practitioners to refer to.
