• Title/Summary/Keyword: Multi-Criteria Decision Making Analysis

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A Study on the Multi-Criteria Decision Making for Effect Analysis and Decision Making of Weapon System (무기체계의 효과분석과 의사결정을 위한 다기준분석 방법론의 연구)

  • Lim, Sung-Hoon;Cho, Ki-Hong;Park, Seung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.5
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    • pp.557-562
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    • 2009
  • Weapon system currently considers the research about effect analysis including cost effectiveness methodology for a budget management and an achievement of the military strategy goal. So that, this study considers the theoretical background, strength and weakness of several Multi-Criteria Decision Making, and an effect analysis of weapon system. And AHP(Analytic Hierarchy Process) is selected for the best effect analysis methodology of weapon system. Therefore, we applied AHP to the case study of the new generation Multiple Launcher Rocket System, performing the analysis of cost effectiveness methodology. Using AHP and cost effectiveness methodology, we propose the actual and proper decision making result.

Application of Multi Criteria Decision Making for Selection of Automobile Safety Option (안전 옵션 선정 다준규의사결정 모델)

  • Kim, Taehee
    • Journal of Auto-vehicle Safety Association
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    • v.10 no.2
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    • pp.50-55
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    • 2018
  • Choosing automobile safety options is price-performance matter. The best fit options to buyer who has a certain driving habit are problem of MCDM (Multi Criteria Decision Making) because price of safety option, statistics of relating accident, consequence of accident, and driving habit are the multi criteria to be evaluated. In this paper, PROMETHEE-GAIA methodology is applied for solving this MCDM problem. The result shows that a different driving habit makes different choosing priority of safety options.

A Quantitative Decision-making Analysis Using Fuzzy Theory in Nuclear Power Plants

  • Moosung Jae;Moon, Joo-Hyun
    • International Journal of Reliability and Applications
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    • v.2 no.2
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    • pp.137-146
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    • 2001
  • In general, analysis of the decision problems in nuclear system management involves a simultaneous consideration of various criteria and decision alternatives. Sometimes, it is a complex, unstructured, ill-defined process incorporating the multi-criteria and the data of impreciseness. To cope with this analysis, a fuzzy hierarchical analysis methodology is proposed and demonstrated with a simple example.

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Setting Priorities on Standardization Work Items of IPv6 Multi-networking Using Analytical Hierarchy Process (계층분석방법을 이용한 IPv6 멀티네트워킹 표준화항목 우선순위 결정)

  • Woo, Hoon-Shik
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.34 no.1
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    • pp.25-32
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    • 2011
  • Under limited resources such as budgets and experts, it is essential to set promotion priorities for standardization work items on IPv6 (Internet Protocol version 6) multi-networking technologies. Opinions of domain experts are surveyed and analyzed utilizing a multi-criteria decision making tool, the Analytic Hierarchy Process (AHP). Weights of ten evaluation criteria are identified and applied to calculating importance degree of eight work items. According to descending order of importance degree, priorities of work items are determined. The processes and results of this study may provide not only an approach of setting promotion priorities for standardization work items but also a practical guide of implementing of a multi-criteria decision analysis.

Using an Evaluative Criteria Software of Optimal Solutions for Enterprise Products' Sale

  • Liao, Shih Chung;Lin, Bing Yi
    • Journal of Distribution Science
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    • v.13 no.4
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    • pp.9-19
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    • 2015
  • Purpose - This study focuses on the use of evaluative criteria software for imprecise market information, and product mapping relationships between design parameters and customer requirements. Research design, data, and methodology - This study involved using the product predicted value method, synthesizing design alternatives through a morphological analysis and plan, realizing the synthesis in multi-criteria decision-making (MCDM), and using its searching software capacity to obtain optimal solutions. Results - The establishment of product designs conforms to the customer demand, and promotes the optimization of several designs. In this study, the construction level analytic method and the simple multi attribute comment, or the quantity analytic method are used. Conclusions - This study provides a solution for enterprise products' multi-goals decision-making, because the product design lacks determinism, complexity, risk, conflict, and so on. In addition, the changeable factor renders the entire decision-making process more difficult. It uses Fuzzy deduction and the correlation technology for appraising the feasible method and multi-goals decision-making, to solve situations of the products' multi-goals and limited resources, and assigns resources for the best product design.

Multi-Criteria Decision Making Based Logistics Brokerage Agents (다기준 의사결정 기반의 물류중개 에이전트)

  • Jeong, Keun-Chae
    • IE interfaces
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    • v.16 no.4
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    • pp.473-484
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    • 2003
  • In this paper we deal with the logistics brokerage process in which a logistics agent intermediates between vehicle owners and shippers for matching empty vehicles and freights. Based on the Multi-Criteria Decision Making (MCDM) methodology, the proposed agent system matches the most preferred empty vehicle to the shipper and the most preferred freight to the vehicle owner. In the proposed agent system, an MCDM based sensitivity analysis is also used for supporting decision makers under negotiations. Among various MCDM methodologies, Analytic Hierarchy Process (AHP) is utilized in this paper. Although AHP is one of the most popular MCDM methodologies, AHP needs a number of pair-wise comparisons for assessing alternatives and hence may give excessive decision making burden to the decision makers. In this paper, in order to reduce the decision making burden, a preference function based estimation method is proposed. We can expect that the MCDM based logistics brokerage agent can be used as an efficient and effective tool for e-logistics marketplaces on the internet.

Decision-making Reliability Estimation Model based on Building Construction Project Participants' Experience

  • Kim, Chang-Won;Kim, Baek-Joong;Yoo, Wisung;Cho, Hunhee;Kang, Kyung-In
    • Journal of the Korea Institute of Building Construction
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    • v.13 no.2
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    • pp.148-158
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    • 2013
  • Generally, building construction projects have a complex decision-making process because of the participation of various agents. In this situation, a final decision is arrived at by relying on subjective judgments based on the experience of project participants. For this reason, a method of assessing the objectivity of opinions is needed. In previous studies, the multi-criteria decision making method was applied to arrive at a final decision objectively, but this method has a limitation, in that the experience of each decision maker is not considered differently in the decision making process. Therefore, this study proposed a theoretical model using the S-shaped growth curve and regression analysis by building construction project type to quantitatively estimate decision-making reliability according to the experience of individual project participant`s. The developed model could be added to the Multi-criteria decision making method, and secure the objectivity and reliability of project participants' final opinion.

Location Selection of Distribution Centers by Using Grey Relational Analysis (GRA를 이용한 물류센터 입지선정문제)

  • Woo, Taehee;Bach, Seung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.2
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    • pp.82-90
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    • 2015
  • Location selection of distribution centers is a crucial task for logistics operators and key decision makers of an organization. This is a multi-criteria decision making (MCDM) process which includes both quantitative and qualitative criteria. In order to propose an optimized location selection model, this research suggests a hierarchical group of evaluation criteria : 5 major criteria with 15 sub-criteria. The MCDM approach presented in this research, by integrating Grey Relational Analysis (GRA) with Analytic Hierarchy Process (AHP), tends to rectify the overall quality and uncertainty of the values of evaluation criteria. An example of a location selection case in Korea is illustrated in this study to show the effectiveness of this method.

Reliable monitoring of embankment dams with optimal selection of geotechnical instruments

  • Masoumi, Isa;Ahangari, Kaveh;Noorzad, Ali
    • Structural Monitoring and Maintenance
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    • v.4 no.1
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    • pp.85-105
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    • 2017
  • Monitoring is the most important part of the construction and operation of the embankment dams. Applied instruments in these dams should be determined based on dam requirements and specifications. Instruments selection considered as one of the most important steps of monitoring plan. Competent instruments selection for dams is very important, as inappropriate selection causes irreparable loss in critical condition. Lack of a systematic method for determining instruments has been considered as a problem for creating an efficient selection. Nowadays, decision making methods have been used widely in different sciences for optimal determination and selection. In this study, the Multi-Attribute Decision Making is applied by considering 9 criteria and categorisation of 8 groups of geotechnical instruments. Therefore, the Analytic Hierarchy Process and Multi-Criteria Optimisation and Compromise Solution methods are employed in order to determine the attributes' importance weights and to prioritise of instruments for embankment dams, respectively. This framework was applied for a rock fill with clay core dam. The results indicated that group decision making optimizes the selection and prioritisation of monitoring instruments for embankment dams, and selected instruments are reliable based on the dam specifications.

- A Study on Improving Reliability for Multiple Criteria Decision Making Using Taguchi Method - (다구찌 기법을 적용한 다기준 의사결정 모형의 신뢰성 향상에 관한 연구)

  • Heo Jun Young;Park Myeong Kyu
    • Journal of the Korea Safety Management & Science
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    • v.6 no.3
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    • pp.249-273
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    • 2004
  • Finding an optimal solution in MADN[(Multi-Attribute Decision-Making) problems is difficult, when the number of alternatives, or that of attributes is relatively large Most of the existing mathematical approaches arrive at a final solution on the basis of many unrealistic assumptions, without reflecting the decision-maker's preference structure exactly. In this paper we suggest a model that helps us find a group consensus without assessing these parameters in specific cardinal values. Therefore, This research provides a comprehensive Decision Making of the theory and methods applicable to the analysis of decisions that involve risk and multiple criteria attributes. after, The emphasis of the procedure will be on developments from the fields of decisions analysis and utility theory of Taguchi Method. This theoretical development will be illustrated through the discussion of several real-world application and a case study. When the multiple number of decision makers are involved in the decision making procedure, the problem of uncertainties invariably occurs, because of the different views between them. In this paper, New decision making model using Taguchi Method is applied to effectively model the multi-attribute-decision making(MADM) procedure in the uncertainties dominated two area(quantitative and qualitative factors), Quantitative factors evaluation is used Loss Function of Taguchi, qualitative factors evaluation is used 50 ratio by each specialist. thus it can be used for aiding of preferable alternative. as a result, We will be proved efficiency about New decision making model of applied Taguchi Method with Analytical presentation of all the expecting outcomes when a specific strategy or an alternative plan is selected under expecting future environment.