Decision-making method based on set pair analysis and VIKOR under heterogeneous information environment and application to typhoon disaster assessment

Tan, Rong; Zhang, Wende; Yang, Lehua

doi:10.1007/s00500-022-07750-0

Cited by 6 publications

(2 citation statements)

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“…To address the above problems, this paper proposes a new multi-target three-way threat assessment method with heterogeneous information and attribute relevance. In the study of the application of three-way decision, other scholars have considered heterogeneous information processing [33][34][35][36] and the attribute relevance [37,38] separately. Good attempts were indeed made, despite problems such as the potential loss of information during the conversion of heterogeneous information to a single format in some studies.…”

Section: Ma Et Al [10] Cloud Modelmentioning

confidence: 99%

“…Accordingly, there are two types of processing methods; one is to transform heterogeneous information into the same form, and the other is to extend the last two methods to heterogeneous information environments. The first type of transformation process involves information loss [33]. Therefore, in this paper, we use the second type of method, constructing heterogeneous weighted TOPSIS to estimate conditional probability.…”

Section: Remarkmentioning

confidence: 99%

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A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

Gao,

Lyu

2024

Mathematics

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Target threat assessment provides support for combat decision making. The multi-target threat assessment method based on a three-way decision can obtain threat classification while receiving threat ranking, thus avoiding the limitation of traditional two-way decisions. However, the heterogeneous situation information, attribute relevance, and adaptive information processing needs in complex battlefield environment bring challenges to existing methods. Therefore, this paper proposes a new multi-target three-way threat assessment method with heterogeneous information and attribute relevance. Firstly, dynamic assessment information is represented by heterogeneous information, and attribute weights are calculated by heterogeneous Criteria Importance Through Intercriteria Correlation (CRITIC). Then, the conditional probability is calculated by the heterogeneous weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the adaptive risk avoidance coefficients are constructed by calculating the uncertainty of the assessment value, and then the relative loss function matrices are constructed. Finally, the comprehensive loss function matrices are obtained by the weighted Heronian mean (HM) operator, and the comprehensive thresholds are calculated to obtain the three-way rules. The case study shows that compared with the existing methods, the proposed method can effectively handle the heterogeneous information and attribute relevance, and obtain the risk avoidance coefficients without presetting or field subjective settings, which is more suitable for the complex mission environment.

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