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A Novel Approach for Combat Vehicle Mobility Definition and Assessment
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 16, 2012 by SAE International in United States
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Mobility assessment for combat vehicles is often a great challenge for the military due to various subjective attributes. The attributes' characteristics vary significantly depending on the vehicle type and its operating environments such as terrain, weather, and human factors. A clear definition and relationship between multiple attributes including human factors is necessary to assess mobility. To the best of authors' knowledge, many existing mobility assessment techniques use complex analytical methods and focus on individual attributes. In this paper, for the first time, the authors propose a novel approach to define vehicle mobility and its influencing attributes using qualitative linguistic fuzzy variables, which are defined as having values between 0 and 1. The authors also propose a fuzzy logic mobility (FLM) model and a simulation approach to assess a combat vehicle's mobility.
CitationDattathreya, M. and Singh, H., "A Novel Approach for Combat Vehicle Mobility Definition and Assessment," SAE Technical Paper 2012-01-0302, 2012, https://doi.org/10.4271/2012-01-0302.
- Nunez, P. Reid, A. Jones, R. Shoop, A. “A Virtual Evaluation Suite for Military Ground Vehicle Dynamic Performance and Mobility,” SAE Technical Paper 2002-01-3049 2002 10.4271/2002-01-3049
- Ahlvin, D. Haley, P. “NATO Reference Mobility Model Edition II, NRMM II User's Guide,” Technical Report Number GL-92-19, U.S. Army Waterways Figure 9, CRREL Instrumented Vehicle (CIV) Rolling on Snow (top) and Finite Element Model Experiment Station, Corps of Engineers Vicksburg, MS December 1992
- Zadeh, L. A. “Fuzzy Logic = Computing with Words,” IEEE Trans. Fuzzy Systems 4 2 1996 May 1996
- Zadeh, L.A. “Is There aNeed for Fuzzy Logic” Information Sciences 178 2751 2779 2008
- Zadeh, L. A. “Fuzzy Sets,” Inform. Contr. 8 3 338 353 1965
- Bezdek, J. C. “Fuzzy models-what are they, and why” IEEE Trans. Fuzzy Sys. 1 1 1 6 1993 Feb. 1993
- Mendel, J. M. “Fuzzy logic systems for engineering: A tutorial,” Proc. of the IEEE, Special Issue on Fuzzy Logic in Engineering Applications 83 3 345 377 1995 March 1995