Multiattribute group decision-making method with double reference points and its applications in technological innovation environmental assessment

Abstract

A decision-making method with double reference points was built to address the multiattribute group decision-making (MAGDM) problem to better reflect the influences of bottom-line and target on group decision-making behaviors. First, the relationship between double reference points and attitude characteristics of decision-makers was analyzed, and the rules of use of linguistic variables were disclosed. Second, the loss and utility functions were given according to relations between the reference points and gain/loss values. Third, the weights of attributes were determined with references to the variation coefficient method. Later, alternatives were classified according to risk probability, and ranking and selection of alternatives were carried out through utility information aggregation. Finally, the new method was applied to solve the technological innovation environmental assessment problem. Research results demonstrate that the new method can classify alternatives according to feasibility. The rank of feasible alternatives of the new method is consistent with that of the traditional method. Research conclusions further enrich the research scope of multiattribute decision-making problems and provide some references to study MAGDM problems.

Keywords

• Multiattribute group decision-making
• Double reference points
• Technological innovation environment
• Loss aversion