| Summary: | 碩士 === 中國科技大學 === 企業管理系 === 106 === Abstract
The number of female military officers and soldiers has increased since 2015, reaching 19,000 as of the present day, which accounts for 13.6% of the total officers and soldiers who volunteered to serve in the military. The number of women choosing combat arms division has also increased from 9.7% in 2014 to 15% in 2016. An overview of gender composition in the current military army, artillery, and armored divisions shows that no women are serving in the armored division. The objective of this study was to investigate key factors influencing the employment of women by armored divisions and clarify the causal relationships involved. Moreover, actual female soldier verification results were cross-compared to evaluate the criteria for women to join armored divisions.
This study adopted the fuzzy Delphi method to address the problems of complex national defense decisions, forced compliance due to existence of strong opinions, and fuzzy semantics, thereby solving expert consensus and fuzzy problems. Fuzzy decision making trial and evaluation laboratory combined with matrix computation was used to determine the direct and indirect causal relationships and degree of influence among each factor and subsequently identify the core problems within a complex system and improvement directions. This study also conducted follow-up survey on the outcomes of actual female soldier verification and military drills.
The results of this study indicated that among the feasibility factors influencing employment of women by armored divisions, environmental dimension was the most crucial factor that warrant immediate attention. Physical fitness standards, professional skills, and task execution capability were the most influential dimensions. This study provides a comprehensive investigation of feasibility factors that influence women’s participation in national military armored divisions. The findings can serve as reference for decision-makers.
Keywords: armored forces, female human, fuzzy Delphi method, fuzzy decision-making laboratory analysis
|
|---|
