Abstract
This paper develops a new method called bi-technique for order preference by similarity to ideal solution (Bi-TOPSIS) to address the multicriteria decision making problems involving interrelated criteria using bipolar measurement with negative values. The Bi-TOPSIS method incorporates the capability of the bi-capacity technique into the TOPSIS to address two important issues: 1) how to measure the interactions between criteria and 2) how to aggregate values measured on a bipolar scale. In practical applications, this method allows the use of benchmarks to demarcate “good” from “bad” performance, thus enhancing the interpretability of the evaluation results. To examine its effectiveness, an empirical study on the evaluation of city social sustainability is conducted. The outcome of the study demonstrates the feasibility and applicability of the new Bi-TOPSIS method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Systems, Man, and Cybernetics: Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
