• Title/Summary/Keyword: military decision making

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Applying Data Mining to ATCIS for Supporting Rapid Decision Making (ATCIS의 신속한 결심수립 지원을 위한 Data Mining 적용)

  • Lee, Hak-hun;Kim, Min-hwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.4
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    • pp.551-557
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    • 2017
  • Commanders want to receive quickly scientific and analytic results about the battlefield situation. Unfortunately, decision support system of Army Tactical Command Information System(ATCIS) is restricted to message procedures and searching function based on manual work. In this paper, we propose applying Data Mining to ATCIS for supporting rapid decision making based on the scientific and analytic method. The purpose of this proposal is to efficiently execute the tactical planning and employment of the subordinate units in order to achieve the mission.

A Fuzzy AHP based Decision making Model for ground operations (지상작전수립을 위한 Fuzzy-AHP 기반의 의사결정 모델 연구)

  • Lee, Young-Kyun;Kim, Ki-Ang;Na, Hong-Bum;Park, Jin-Woo
    • Journal of the Korea Society for Simulation
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    • v.17 no.4
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    • pp.159-165
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    • 2008
  • The ROK army has equipped ATCIS (Army Tactical Control Information System) for the Corps echelon to visualize the battlefield and reduce the reaction time. Due to the information&surveillance equipment, uncertainty and variance of the battlefield have been decreased. However decision making for the ground operations has not changed as it depends on knowledge of the commander and staffs. The War game process to select and assess the best CoA (Course of Action) also depends on the pros and cons due to the limitation of time and capability. For the balanced development between intangible and tangible military strength, a new decision making process which is quantitative and useful for the military is needed. In this study, we suggest a Fuzzy-AHP based decision making model to improve troop leading procedure which is useful to evaluate and reflect intangible characteristics of the battlefield.

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A Study on the Decision Making Models for Evaluating the Priorities in the Army Facility Enterprise (군 시설사업 우선순위선정을 위한 의사결정모형에 관한 연구)

  • 정성환;이상헌
    • Journal of the military operations research society of Korea
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    • v.27 no.2
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    • pp.37-55
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    • 2001
  • The main purpose of this study is to review the current system and to develop a decision support system for evaluating the priorities among those possible alternatives in the army facility enterprise. This paper also provides an information system which can be effectively applied to various criteria and stages in decision making process such as Planning and Programming phases in PPBEES. The model base of decision support systems uses the concepts of the analytic hierarchy process along with the supplementary techniques such as TOPSIS and 0-1 integer programming. Both AHP and TOPSIS are used scoring approaches in the Planning phase and IP is induced at the Programming phase to give GO/NO-GO solution for each project. We use Expert Choice, Excel and LINDO s/w's to implement a prototyped model. The proposed methodology in this paper enables the decision makers to evaluate the priority based on quantitative and qualitative data in a systematic way.

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Impact of Shared-Decision Making on Patient Satisfaction in Military Hospitals (군 의료기관에서의 공유의사결정이 환자만족도에 미치는 영향)

  • Min, Hyun-Jun;Suh, Won-S.
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.338-349
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    • 2011
  • The purpose of this study is to provide an innovative way enhancing patient satisfaction in military hospitals by analyzing the impact of shared-decision making on patient satisfaction. The survey questionnaire has been distributed for a month in two hospitals with similar goals, serving for officers and men of the armed forces, and 514 copies has been collected for the study. The study found a positive association between shared-decision making and patient satisfaction. The results of the study suggest the military hospitals should allocate their resources on the fundamental issues such as improving quality of services they provide rather than reimburse the services to compensate the service the armed forces received from private institutions.

Application of Analytic Hierarchy Process of Defense Innovation 2020 Advanced Topics in Plan Step of Defense Planning Management Afftair (국방기획 관리업무의 기획단계에서 국방개혁 2020 추진과제들에 대한 계층분석적 의사결정 적용)

  • Choi, Myoung-Seo;Lee, Hong-Chul;Cheon, Hyeon-Jae
    • Journal of the military operations research society of Korea
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    • v.32 no.2
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    • pp.212-222
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    • 2006
  • The defense innovation 2020 advanced topics which have to establish robust milatary are based on archiving defense innovation by selecting twenty-one main topics and eighties' sub-topics whose topics focus on defense innovation and defense circumstance in 2020. Although defense innovation 2020 which is to be advanced with defense basic policy need to decision making, it is specified in programming step by merging budget with plan. If the Defense Ministry archives decision making from initial plan step, although it archives group decision making in programming step at present, it will archive efficient affair. This study archives a group decision making of defense innovation 2020 advanced topics which were published in the Defense Ministry by applying Analytic Hierarchy Process in plan step. In addition, if the weights of the main topics are equal, the sub topics analyze how to be changed throughout sensitivity analysis and suggest the topics' priority rank throughout group decision making.

Intelligent Army Tactical Command Information System based on National Defense Ontology (국방온톨로지 기반의 지능형 육군전술지휘정보체계)

  • Yoo, Donghee;Ra, Minyoung;Han, Changhee;Shin, Jinhee;No, Sungchun
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.3
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    • pp.79-89
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    • 2013
  • ATCIS (Army Tactical Command Information System) provides commanders and staff officers the battlefield information that is reported by tactical echelons under an army corps and the commanders make decisions based on the information by using their experience and specialty in military domain. If ATICS can automatically understand the reported information from rapidly changing battlefield and provide new knowledge that can support decision making, the commanders would be able to make faster and more accurate decision. In this paper, therefore, we propose an intelligent ATCIS using a national defense ontology. To this end, we built the national defense ontology by analyzing the electronic field manuals and ATCIS database, and then we defined military knowledge for decision making as a form of rule by interviewing several staff officers from different fields. In order to show how to apply the ontology and rules to decision making support for the commanders, we implemented a decision support service to estimate the possibility of enemy's provocation by using semantic web technologies.

Automated Course of Action Evaluation for Military Decision-Making (지휘결심을 위한 자동 방책 평가)

  • Geewon Suh;Hyungkeun Yi;Minhyuk Kim;Byungjoo Kim;Moonhyun Lee;Jaewoo Baek;Changho Suh
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.4
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    • pp.437-445
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    • 2024
  • In future complex and diverse battlefield situations, the existing command system faces the challenge of delayed human judgement of strategy and low objectivity. This paper proposes an artificial intelligence model that takes situation information and course of action simulation results as input and automatically assigns scores to various evaluation elements and a comprehensive score. This tool is expected to assist the commander in making decisions, reduce the time required for making judgments, and promote impartial decision-making.

Group Decision Support with Analytic Hierarchy Process (계층적 분석기법을 활용한 그룹의사결정 지원)

  • An, Byung-Suk
    • Journal of the military operations research society of Korea
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    • v.28 no.1
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    • pp.83-96
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    • 2002
  • The Analytic Hierarchy Process (AHP) is well suited to group decision making and offers numerous benefits as a synthesizing mechanism in group decisions. To date, the majority of AHP applications have been in group settings. One reason for this may be that groups often have an advantage over individual when there exists a significant difference between the importance of quality in the decision and the importance of time in which to obtain the decision. Another reason may be the best alternative is selected by comparing alternative solutions, testing against selected criteria, a task ideally suited for AHP. In general, aggregation methods employed in group AHP can be largely classified into two methods: geometric mean method and (weighted) arithmetic mean method. In a situation where there do not exist clear guidelines for selection between them, two methods do not always guarantee the same group decision result. We propose a simulation approach for building group consensus without efforts to make point estimates from individual diverse preference judgments, displaying possible disagreements as is natural in group members'different viewpoints.