Affiliations: [a] School of Management, Hefei University of Technology, Hefei, P.R. China | [b] Key Laboratory of Process Optimization and Intelligent Decision Making, Ministry of Education, Hefei, P.R. China | [c] Intelligent Interconnected Systems Laboratory of Anhui Province, China
Correspondence:
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Corresponding author. Wei Xia, School of Management, Hefei University of Technology, Hefei 230009, P.R. China. Tel.: +86 13615600164; E-mail: [email protected].
Abstract: Satellite emergency mission scheduling scheme group decision making (SEMSSGDM) is a key part of satellite mission scheduling research. An appropriate evaluation model can provide a dependable and sustainable improvement and guide the functioning of emergency mission scheduling. Consequently, this research is devoted to proposing a novel decision-making method that employs a novel consensus model with hesitant fuzzy 2-tuple linguistic sets (HF2TLSs) to eliminate disagreements among satellite dispatchers and reach consensus in scheme decision-making. Within the novel method, it proposes a distance measurement function based on Hausdorff distance with HF2TLS to gauge the fit and similarity across satellite dispatchers. Additionally, a consensus reaching process (CRP) is designed to adjust the judgement of satellite dispatchers taking into account the trust degree to improve consensus. Within the selection process, a combination of the particle swarm optimization (PSO) algorithm and the MULTIplicative MOORA (MULTIMOORA) method is applied, where PSO is performed to improve the accuracy of information aggregation, and the MULTIMOORA method is used to develop the robustness of the selection results. Lastly, an applicative example validates the effectiveness of the method based on a mission scheduling intelligent decision simulation system.
