• Title/Summary/Keyword: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

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An Efficient Decision Maki ng Method for the Selectionof a Layered Manufacturing (3차원 조형장비 선정을 위한 효율적인 의사결정 방법)

  • Byun, Hong-Seok
    • Transactions of the Korean Society of Machine Tool Engineers
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    • 제18권1호
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    • pp.59-67
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    • 2009
  • The purpose of this study is to provide a decision support to select an appropriate layered manufacturing(LM) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model far molding, material property, build time and part cost that greatly affect the performance of LM machines. However, the selection of a LM is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate LM machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify LM machines that the users consider After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of LM machines.

Development of Multi-Attribute Decision Making System for Conceptual Design of Light-Weight Rolling Stock (철도차량 경량화 개념설계를 위한 다속성 의사결정 시스템 설계)

  • Kim, Hee-Wook;Kim, Jong-Woon;Shin, Sung-Ryoung;Jeong, Hyeon-Seung
    • Proceedings of the KSR Conference
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    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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    • pp.2973-2978
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    • 2011
  • In this paper, a system is developed to support multi-attribute decision making for designing light-weight of rolling stock. Conceptual design of light-weight of rolling stock does not only mean reducing weight. It should be considered about some attributes like safety and environment, technology, etc. So technical attributes and needs of customers, manufacturers and management companies, passengers, should be reflected and qualitative evaluation methods are required. AHP(Analytical Hierarchy Process) and QFD(Quality Function Deployment) are used to decide weighted values of technical attributes and needs from customers. Finally, Alternatives for light-weight of rolling stock that are composed of alternatives of equipment are evaluated by TOPSIS(Technique for Order Preference by Similarity to Ideal Solution). A series of this process are made as a S/W. It could suggest a near-optimal alternative for light-weight of rolling stock.

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A Study on Urban Flood Vulnerability Assessment Considering Social Impact (사회적 평가 지표를 반영한 도시 홍수취약성 평가)

  • Lee, Gyu Min;Choi, Jin Won;Jun, Kyung Soo
    • Land and Housing Review
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    • 제11권1호
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    • pp.109-116
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    • 2020
  • This study aims to establish an approach to assess urban flood vulnerability by identifying social characteristics such as the road transportation and the vulnerable groups. Assessment procedures comprise three steps as: (1) composing the assessment criteria to reflect the urban characteristics; (2) calculating the weight; and (3) evaluating the vulnerability. The criteria were adopted by Delphi survey technique. Four criteria as land cover, residents, vulnerable areas, and disaster response were adopted in the current study. To determine the weight set of criteria, subjective and objective methods were combined. The weight set was determined using the combined method which reflects the Delphi method and Entropy analysis. In the process of data-based construction, GIS tools wwere used to extract administrative unit materials such as land cover, road status, and slope. Data on population and other social criteria were collected through the National Statistical Office and the Seoul Metropolitan statistical data. TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique, which uses materials from cell units in order to rank the closest distance to the best case and the farthest distance from the worst case by calculating the distances to the area of assessment, was applied to assess. The study area was the Dorimcheon basin, a flood special treatment area of Seoul city. The results from the current study indicates that the established urban flood vulnerability assessment approach is able to predict the inherent vulnerable factors in urban regions and to propose the area of priority control.

A Study of Call Admission Control Scheme using Noncooperative Game under Homogeneous Overlay Wireless Networks (동종의 중첩 무선 네트워크에서 비협력적 게임을 이용한 호수락 제어기법의 연구)

  • Kim, Nam Sun
    • Journal of Korea Society of Industrial Information Systems
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    • 제20권4호
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    • pp.1-9
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    • 2015
  • This paper proposes CAC method that is more efficient for RRM using game theory combined with Multiple Attribute Decision Making(MADM). Because users request services with different Quality of Service(QoS), the network preference values to alternative networks for each service are calculated by MADM methods such as Grey Relational Analysis(GRA), Simple Additive Weighting(SAW) and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS). According to a utility function representing preference value, non-cooperative game is played, and then network provider select the requested service that provide maximum payoff. The appropriate service is selected through Nash Equilibrium that is the solution of game and the game is played repeated. We analyze two overlaid networks among four Wireless LAN(WLAN) systems with different properties. Simulation results show that proposed MADM techniques have same outcomes for every game round.

An Approach to Drought Vulnerability Assessment using TOPSIS Method (TOPSIS을 적용한 가뭄취약성 평가 방법에 관한 연구)

  • LEE, Chang-Woo;SHIN, Hyung-Jin;KWON, Min-Sung;LEE, Gyu-Min;NAM, Sang-Hyeok;KANG, Mun-Sung
    • Journal of the Korean Association of Geographic Information Studies
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    • 제22권4호
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    • pp.102-115
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    • 2019
  • This study aims to establish and apply a drought vulnerability assessment plan including various factors related to drought. The evaluation technique consisted of three stages: evaluation factor and weight selection, evaluation data database construction, evaluation data and weight combination, and Delphi investigation method was applied to evaluation factor and weight selection. As the evaluation method, the TOPSIS method, which is a widely used MCDM method, was used. The results of the drought vulnerability assessment were applied to the administrative districts of Sigun-gu, Korea from March 2016 to September 2019. As a result of the evaluation, drought vulnerable areas were identified in Chungcheongbuk-do, Gyeongsangnam-do, and Jeollanam-do, and it was analyzed that it is necessary to establish drought response plans for these areas.

Multi-level Shape Optimization of Lower Arm by using TOPSIS and Computational Orthogonal Array (TOPSIS와 전산직교배열을 적용한 자동차 로워암의 다수준 형상최적설계)

  • Lee, Kwang-Ki;Han, Seung-Ho
    • Journal of the Korean Society for Precision Engineering
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    • 제28권4호
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    • pp.482-489
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    • 2011
  • In practical design process, designer needs to find an optimal solution by using full factorial discrete combination, rather than by using optimization algorithm considering continuous design variables. So, ANOVA(Analysis of Variance) based on an orthogonal array, i.e. Taguchi method, has been widely used in most parts of industry area. However, the Taguchi method is limited for the shape optimization by using CAE, because the multi-level and multi-objective optimization can't be carried out simultaneously. In this study, a combined method was proposed taking into account of multi-level computational orthogonal array and TOPSIS(Technique for Order preference by Similarity to Ideal Solution), which is known as a classical method of multiple attribute decision making and enables to solve various decision making or selection problems in an aspect of multi-objective optimization. The proposed method was applied to a case study of the multi-level shape optimization of lower arm used to automobile parts, and the design space was explored via an efficient application of the related CAE tools. The multi-level shape optimization was performed sequentially by applying both of the neural network model generated from seven-level four-factor computational orthogonal array and the TOPSIS. The weight and maximum stress of the lower arm, as the objective functions for the multi-level shape optimization, showed an improvement of 0.07% and 17.89%, respectively. In addition, the number of CAE carried out for the shape optimization was only 55 times in comparison to full factorial method necessary to 2,401 times.

DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique

  • Majumdar, Abhishek;Biswas, Arpita;Baishnab, Krishna Lal;Sood, Sandeep K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권7호
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    • pp.3794-3820
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    • 2019
  • In recent years, a cloud environment with the ability to detect illegal behaviours along with a secured data storage capability is much needed. This study presents a cloud storage framework, wherein a 128-bit encryption key has been generated by combining deoxyribonucleic acid (DNA) cryptography and the Hill Cipher algorithm to make the framework unbreakable and ensure a better and secured distributed cloud storage environment. Moreover, the study proposes a DNA-based encryption technique, followed by a 256-bit secure socket layer (SSL) to secure data storage. The 256-bit SSL provides secured connections during data transmission. The data herein are classified based on different qualitative security parameters obtained using a specialized fuzzy-based classification technique. The model also has an additional advantage of being able to decide on selecting suitable storage servers from an existing pool of storage servers. A fuzzy-based technique for order of preference by similarity to ideal solution (TOPSIS) multi-criteria decision-making (MCDM) model has been employed for this, which can decide on the set of suitable storage servers on which the data must be stored and results in a reduction in execution time by keeping up the level of security to an improved grade.

A Study on the Ranking Strategy for the Product Improvement of the K Series Tank using AHP, Scoring Method, and TOPSIS (AHP와 평점법 및 TOPSIS를 활용한 K계열 전차 성능개량 우선순위에 대한 연구)

  • Na, Jae-Hyun;Park, Chan-Hyeon;Kim, Dong-Gil
    • The Journal of the Korea institute of electronic communication sciences
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    • 제16권5호
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    • pp.899-908
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    • 2021
  • Since the modern weapon system is composed of a complex system, it is quite difficult to derive the priority of performance improvement factors. In addition, research on the method for prioritizing quantitative performance improvement factors considering the opinions of stakeholders is insufficient. In this study, in order to quantitatively derive the priorities of performance improvement factors for K1 tanks and K2 tanks, a survey was conducted with experts with experience in tank development, and the preface data was analyzed using AHP, scoring method, and TOPSIS methods. As a result, priorities were quantitatively derived. The results of this study are expected to be used as decision-making indicators for stakeholders in the future weapon system development and performance improvement stage.

Power System Enhanced Monitoring through Strategic PMU Placement Considering Degree of Criticality of Buses

  • Singh, Ajeet Kumar;Fozdar, Manoj
    • Journal of Electrical Engineering and Technology
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    • 제13권5호
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    • pp.1769-1777
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    • 2018
  • This paper proposes a method for optimal placement of Phasor Measurement Units (PMUs) considering system configuration and its attributes during the planning phase of PMU deployment. Each bus of the system is assessed on four diverse attributes; namely, redundancy of measurements, rotor angle and frequency monitoring of generator buses, reactive power deficiency, and maximum loading limit under transmission line outage contingency, and a consolidated 'degree of criticality' is determined using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The major contribution of the proposed work is the development of modified objective function which incorporates values of the degree of criticality of buses. The problem is formulated as maximization of the aggregate degree of criticality of the system. The resultant PMU configuration extends complete observability of the system and majority of the PMUs are located on critical buses. As budgetary restrictions on utilities may not allow installation PMUs even at optimal locations in a single phase, multi-horizon deployment of PMUs is also addressed. The proposed approach is tested on IEEE 14-bus, IEEE 30-bus, New England (NE) 39-bus, IEEE 57-bus and IEEE 118-bus systems and compared with some existing methods.

An Approach to Drought Vulnerability Assessment using Multi Criteria Decision Making Method (다기준 의사결정기법을 적용한 가뭄취약성 평가 방법에 관한 연구)

  • Shin, Hyung Jin;Lee, Gyu Min;Lee, Jae Nam;Kwon, Min Sung;Kang, Mun Sung
    • Proceedings of the Korea Water Resources Association Conference
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    • 한국수자원학회 2020년도 학술발표회
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    • pp.385-385
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    • 2020
  • 본 연구에서는 가뭄과 연관되는 다양한 관련 요인을 포함한 가뭄취약성 평가방안을 수립하고 이를 적용하는 것을 목표로 하였다. 평가기법은 평가인자와 가중치 선정, 평가자료 데이터베이스 구축, 평가자료와 가중치를 조합한 평가의 세 단계로 구성되었으며 평가인자 및 가중치 선정에는 Delphi 조사기법을 적용하고 평가기법으로는 최근 널리 적용되고 있는 MCDM (Multi-Criteria Decision Making) 방법인 TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) 기법을 활용하였다. 평가인자는 기상분야(Meteorological factors), 농업분야(Agricultural factors), 사회경제분야(Socioeconomic factors), 환경분야(Natural System)로 구성하였으며 선정된 인자에 대한 데이터베이스를 구성하기 위하여 기상청, 농어촌공사, 수자원공사 등의 관계기관이 관리하는 자료를 수집하였다. 수립한 가뭄취약성 평가방안을 2016년 3월부터 2019년 9월까지 우리나라 시군구 행정구역 단위, 총 167개 지역이며 순위법, 비율법, fuzzy 등 가중치 선정방법에 따라 결과에 약간의 차이가 나타난다. 가뭄예보결과와 취약성 평가결과를 비교해 보면 충청남도 홍성군이 동기간 동안 가뭄예경보 발령 횟수가 가장 많았으며, 충청남도 보령시와 서산시도 매우 높은 빈도로 확인되었다. 평가 결과, 충청북도, 경상남도, 전라남도에 가뭄 취약지역이 다수 도출 되어 이들 지역에 대한 가뭄 대응 방안 수립이 필요한 것으로 분석되었다.

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