Work

Weapon System Selection Based on Trust Network and Probabilistic Hesitant Fuzzy Entropy

Year: 2024

Type: article

Abstract: In order to solve the problem of uncertainty and fuzzy information in the process of weapon equipment system selection, a multi-attribute decision-making (MADM) method based on probabilistic hesitant fuzzy set (PHFS) is proposed. Firstly, we introduce the concept of probability and fuzzy entropy to measure the ambiguity, hesitation and uncertainty of probabilistic hesitant fuzzy elements (PHFEs). Sequentially, the expert trust network is constructed, and the importance of each expert in the network can be obtained by calculating the cumulative trust value under multiple trust propagation paths, so as to obtain the expert weight vector. Finally, we put forward an MADM method combining the probabilistic hesitant fuzzy entropy and grey relation analysis (GRA) model, and an illustrative case is employed to prove the feasibility and effectiveness of the method when solving the weapon system selection decision-making problem.

Source: Journal of Systems Engineering and Electronics

DOI: 10.23919/jsee.2024.000047

Authors: Jia Qingyang, Dou Yajie, Xiang Nan, Ma Yufeng, Yang Kewei

Institution: National University of Defense Technology

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Award: G4512458158