Bi-TOPSIS: A New Multicriteria Decision Making Method for Interrelated Criteria with Bipolar Measurement

Ling Zhang, Yan Xu, Chung Hsing Yeh, Le He, De Qun Zhou

    Research output: Contribution to journalArticleResearchpeer-review

    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.

    Original languageEnglish
    Article number7490410
    Pages (from-to)3272-3283
    Number of pages12
    JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
    Volume47
    Issue number12
    DOIs
    Publication statusPublished - 1 Dec 2017

    Keywords

    • Bi-capacities
    • multicriteria decision making
    • social sustainability
    • technique for order preference by similarity to ideal solution (TOPSIS)

    Cite this

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    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.",
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    Bi-TOPSIS : A New Multicriteria Decision Making Method for Interrelated Criteria with Bipolar Measurement. / Zhang, Ling; Xu, Yan; Yeh, Chung Hsing; He, Le; Zhou, De Qun.

    In: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 47, No. 12, 7490410, 01.12.2017, p. 3272-3283.

    Research output: Contribution to journalArticleResearchpeer-review

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    T2 - A New Multicriteria Decision Making Method for Interrelated Criteria with Bipolar Measurement

    AU - Zhang, Ling

    AU - Xu, Yan

    AU - Yeh, Chung Hsing

    AU - He, Le

    AU - Zhou, De Qun

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