Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943221 | Expert Systems with Applications | 2017 | 22 Pages |
Abstract
This paper updates and expands the TOPSIS that was introduced four decades ago. First, we re-present the logic of TOPSIS according to the traditional decision theory. It shows that TOPSIS also has a built-in multi-attribute value function that is not revealed explicitly. So far, this has been a hidden aspect of TOPSIS. Second, we incorporate the decision maker's (DM) behavioral tendency into TOPSIS. The behavioral TOPSIS accommodates the loss aversion concept in behavioral economics. A DM can set the loss aversion ratio to reflect his/her choice inclination. Two cases are illustrated to show the efficacy of the behavioral TOPSIS.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
K. Paul Yoon, Won Kyung Kim,