Unmanned Aerial Vehicle Situation Assessment Based on Cumulative Prospect Theory and Three-Way Decision

• Published in: Shànghăi jiāotōng dàxué xuébào Vol. 56; no. 11; pp. 1479 - 1490
• Main Author: LI Weiwei, GAO Peixue, CHEN Jin, LU Yuqing
• Format: Journal Article
• Language: Chinese
• Published: Editorial Office of Journal of Shanghai Jiao Tong University 01.11.2022
• Subjects: cumulative prospect theory; intuitionistic; situation assessment; three-way decision; uninhabited aerial vehicle (uav)
• DOI: 10.16183/j.cnki.jsjtu.2021.400
• ISSN: 1006-2467

General uninhabited aerial vehicle (UAV) situation assessment methods do not consider the influence of complex external environment on the decision-maker, and usually only get the ranking results of the evaluation. Since the decision-maker needs to make decisions in a short period of time, misjudgments or missing strike windows often occur. To address this problem, a three-way decision model based on the cumulative prospect theory is proposed. First, the method the utilizes intuitionistic fuzzy technique for order preference by similarity to an ideal solution to estimate the conditional probability of each target and obtains the situation assessment result. Next, the method calculates the intuitionistic fuzzy situation information obtained by the UAV based on the cumulative prospect theory, and obtains the corresponding cumulative prospect value when each target performs different actions. Finally, based on the principle of maximizing the cumulative prospect value, a new three-way decision rule is derived to