Title | ||
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Local consistency adjustment strategy and DEA - driven interval type-2 trapezoidal fuzzy decision-making model and its application for fog-haze factor assessment problem |
Abstract | ||
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This paper aims to develop a novel decision-making method with interval type-2 trapezoidal fuzzy preference (IT2TrFPR), which can deal with the complex decision information presented in the form of interval type-2 trapezoidal fuzzy numbers. In this paper, we mainly propose a novel interval type-2 trapezoidal fuzzy decision-making method with local consistency adjustment strategy and data envelopment analysis (DEA). Considering the harm of fog-haze pollution to the environment and human life, we apply the decision-making method to the problem about influence factors of for-haze weather. Firstly, we introduce the definition of IT2TrFPR that sufficiently expresses the uncertainty of original decision-making information. After that, we show the definition of the order consistency and additive consistency for IT2TrFPR. Considering that the original IT2TrFPR given by decision-makers usually does not satisfy the characteristic of consistency, to transform the unacceptable additive consistent IT2TrFPRs into acceptable ones, we design a consistency-improving algorithm that uses the local adjustment approach to preserve the original decision-making information as much as possible and avoids the original information loss. Then, an output-oriented interval type-2 trapezoidal fuzzy DEA model and the concept for quasi interval type-2 trapezoidal fuzzy priority weight are developed to derive the interval type-2 trapezoidal fuzzy priority weight vector (IT2TrFPW) and obtain the final ranking result of alternatives. Finally, the effectiveness of the proposed decision-making method is demonstrated by a numerical example of selecting the most crucial fog-haze influence factor. Meanwhile, we also conduct a comparative analysis by comparing our method with the existing methods to show some merits of the proposed method. |
Year | DOI | Venue |
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2022 | 10.1007/s10489-021-02354-x | APPLIED INTELLIGENCE |
Keywords | DocType | Volume |
Decision-making method, Interval type-2 trapezoidal fuzzy preference relation, Additive consistency, Data envelopment analysis | Journal | 52 |
Issue | ISSN | Citations |
2 | 0924-669X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
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Jinpei Liu | 1 | 0 | 0.34 |
Yun Zheng | 2 | 59 | 11.91 |
Feifei Jin | 3 | 0 | 0.34 |
Huayou Chen | 4 | 955 | 46.66 |