Generating Methods for Group Affective Preferences with Engineering Applications

Abstract

Traditionally, affective computing usually focuses on individual’s affective dynamics instead of buildups of those of groups from a holistic perspective. Practically, the forms of group decision makers’ preferences associated with multi-attribute decision-making problems are too complex to calculate programs’ orders by judgment matrix, suffering difficulties in achieving the weights of sub-attributes based on the group judgment preferences. Currently, few researches are concerned with the definitions and generating methods of group affective preferences from the perspective of affective dynamics. In response to these challenges, this paper explicitly presents a stimulated and transferring affective computing model, along with the definition of group affective preferences and the interactive generating methods, which can gradually grasp group’s experience in group decision making and help reduce group’s subjective fatigue and make decisions more quickly. To exemplify applications of the proposed methods for a kind of multi-attribute decision-making problems, a test function and a chemical process control issue are investigated, giving rise to satisfied results and showing validity of the contribution.