FAULT EVALUATION OF UNMANNED AERIAL VEHICLES POWER SYSTEM WITH AN IMPROVED FUZZY GROUP DECISION-MAKING

Yuehao Yan, Zhiying Lv, and Ruiyu Zhang

Keywords

Unmanned aerial vehicle (UAV), fault evaluation, fuzzy multiple attribute group decisionmaking (FMAGDM), intervalvalued intuitionistic fuzzy (IVIF) number, consensus

Abstract

The applications of unmanned aerial vehicles (UAVs) in military and civilian service domains have exhibited unprecedented growth in the last decades. However, the sophisticated and expensive UAVs are susceptible to multiple faults, such as wear and tear, noise, or software-control failures. The mutual recognition of community opinion in fuzzy multiple attribute group decisionmaking (FMAGDM) is an eļ¬ƒcient way to solve a complex system. However, whether it can be utilized to evaluate the fault of the power system of UAVs has not been examined yet. This paper studies the evaluation towards the fault of the power system of UAVs under interval-valued intuitionistic fuzzy (IVIF) numbers with an improved FMAGDM. A new algorithm is proposed to achieve a desirable consensus in group decision-making. In contrast to the commonly used method, the proposed method comprehensively evaluates the fault of the power system of UAVs and basically gives an optimal consensus decision-making without modifying many elements.

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