Journal of Systems Engineering and Electronics ›› 2026, Vol. 37 ›› Issue (5): 1587-1605.doi: 10.23919/JSEE.2026.000034

• SYSTEMS ENGINEERING • Previous Articles    

Effectiveness validation of evaluation index systems of equipment SoS operational capability: a framework and grey clustering model

Zhaojie Ke1(), Wenya Zhou1,*(), Shujun Tan1(), Yanchang Huang2(), Junchao Shang3(), Xiaoting Fang3()   

  1. 1School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China
    2Unit 63863 of the PLA, Baicheng 137001, China
    3Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100081, China
  • Received:2025-06-26 Online:2026-10-18 Published:2026-11-09
  • Contact: Wenya Zhou E-mail:kzj0924@foxmail.com;zwy@dlut.edu.cn;tansj@dlut.edu.cn;1577271339@qq.com;shangjc2011@163.com;fangxiaotingmao@163.com

Abstract:

A reliable evaluation index system (EIS) is essential for assessing the operational capabilities of equipment system-of-systems (SoS), yet systematic methods for validating its effectiveness in complex scenarios remain lacking. To address this problem, this paper proposes a validation algorithm, which includes a validation framework, a data collection format tailored to operational contexts, and a grey clustering algorithm. First, the validation framework is designed at three levels, syntactic, semantic, and pragmatic, to systematically assess the normativity, logical coherence, and practical utility of the EIS. Second, a data collection format suited to operational backgrounds is introduced, enabling multi-domain coverage across the physical, informational, cognitive, and social dimensions, and accounting for both expected and abnormal scenarios. Third, a grey clustering algorithm is developed, in which a clustering weight calculation model based on the interval fuzzy preference relation matrix ensures consistency among indicators, while rough and fine clustering analyses are combined to achieve quantitative validation of EIS effectiveness. Case studies demonstrate that the proposed method effectively validates EIS performance under diverse operational conditions. Overall, this work provides a systematic basis for EIS validation and practical guidance for enhancing SoS evaluation.

Key words: system-of-systems (SoS), equipment operational capability, effectiveness of evaluation index system (EIS), grey clustering model