Prioritising Emergency Bridgeworks Assessment under Military Consideration using an Enhanced Fuzzy Weighted Average Approach

Kuo-Chen Hung; Han-Wen Tuan

doi:10.14429/dsj.60.485

Kuo-Chen Hung National Defense University, Taiwan
Han-Wen Tuan National Sun Yat-sen University, Taiwan

DOI: https://doi.org/10.14429/dsj.60.485

Keywords: Fuzzy weighted average, fuzzy multi-criteria decision making (FMCDM), bridgeworks assessment, military circumstance

Abstract

Prioritising emergency bridgeworks assessment has been a key to winning battles in combat circumstances because of soldier safety, attack or defence tactics, and logistic supply ability. However, an imprecise or vague satisfaction level of importance of criteria may also affect the prioritising evaluation of bridgeworks under military consideration. In this paper, the fuzzy set theory is employed to treat this aspect. With linguistic variables, fuzzy numbers and an enhanced fuzzy weighted average approach will be used. The proposed approach is used to investigate an example to illustrate its applications in emergency bridgeworks assessment. The approach is shown to be useful and effective. In order to make computing and ranking results easier and to increase recruiting productivity, a computer-based decision support system has been developed, which may help the commander make decisions more efficiently.

Defence Science Journal, 2010, 60(4), pp.451-461, DOI:http://dx.doi.org/10.14429/dsj.60.485

Author Biographies

Kuo-Chen Hung, National Defense University, Taiwan

Received PhD in Department of Industrial Engineering and Enterprise Information from Tunghai University, Taichung in 2006. Currently, he is an Assoc Prof at National Defense University.

Han-Wen Tuan, National Sun Yat-sen University, Taiwan

Done BS and MS in management information system from the National Defense University in Taipei, Taiwan. He is a doctoral student of information management at NationalSun Yat-Sen University in Kaohsiung, Taiwan. His current research focuses on software project management, project portfolio management, and knowledge transfer.