• Title/Summary/Keyword: multi-criteria decision making

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A patent analysis method for identifying core technologies: Data mining and multi-criteria decision making approach (핵심 기술 파악을 위한 특허 분석 방법: 데이터 마이닝 및 다기준 의사결정 접근법)

  • Kim, Chul-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.16 no.1
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    • pp.213-220
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    • 2014
  • This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.

A GOAL PROGRAMMING MODEL FOR THE BEST POSSIBLE SOLUTION TO LOAN ALLOCATION PROBLEMS

  • Sharma, Dinesh-K.;Ghosh, Debasis;Alade, Julius-A.
    • Journal of applied mathematics & informatics
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    • v.9 no.1
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    • pp.197-211
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    • 2002
  • In this paper, we propose a multi-Criteria decision making approach to address the problem of finding the best possible solution in credit unions. Sensitivity analysis on the priority structure of the goals has been performed to obtain all possible solutions. The study uses the Euclidean distance method to measure distances of all possible solutions from the identified ideal solution. The possible optimum solution is determined from the minimum distance between the ideal solution and other possible solutions of the Problem.

A Study on the Generation Expansion Planning System Under the Cost Based Pool (CBP 시장 체제하에서의 전력수급계획 수립 체계에 관한 연구)

  • Han, Seok-Man;Kim, Bal-Ho H.
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.5
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    • pp.918-922
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    • 2009
  • The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, the planning cannot use cost minimizing objective function in the power markets with many market participants. This paper proposed the power expansion planning process in the power markets. This system is composed of Regulator and GENCO's model. Regulator model used multi-criteria decision making rule. GENCO model is very complex problem. Thus, this system transacted the part by several scenario assuming GENCO model.

New Similarity Measures of Simplified Neutrosophic Sets and Their Applications

  • Liu, Chunfang
    • Journal of Information Processing Systems
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    • v.14 no.3
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    • pp.790-800
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    • 2018
  • The simplified neutrosophic set (SNS) is a generalization of fuzzy set that is designed for some practical situations in which each element has truth membership function, indeterminacy membership function and falsity membership function. In this paper, we propose a new method to construct similarity measures of single valued neutrosophic sets (SVNSs) and interval valued neutrosophic sets (IVNSs), respectively. Then we prove that the proposed formulas satisfy the axiomatic definition of the similarity measure. At last, we apply them to pattern recognition under the single valued neutrosophic environment and multi-criteria decision-making problems under the interval valued neutrosophic environment. The results show that our methods are effective and reasonable.

Stepwise Decision making Methodology Based on Artificial Intelligence: An Application to Bearing Design (인공지능에 기반한 단계적 의사결정방법 : 베어링 설계에의 적용)

  • 서태설;한순홍
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.2
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    • pp.100-109
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    • 1999
  • The bearing design includes the steps of selection bering type, selection bearing subtype, and determining the peripheral equipments. In this paper decision making methodologies are compared to propose a stepwise decision methodology to the bearing selection problem. An artificial neural network trained with design cases is used for selecting a bearing type in the first step. Then the subtype of the bearing is selected using the weighting method, high is a kind of multi-criteria decision making method. Finally, the types of peripheral equipments such as lubrication devices, seals and bearing housings are determined using a rule-based expert system.

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Decision Making Methodology on Ventilation System for Road Tunnels Based on Multi-Attribute Utility Theory (다속성 효용이론을 활용한 터널환기방식 선정)

  • Lee, Hye-Jin;Kang, Sang-Hyeok;Park, Won-Young;Seo, Jong-Won
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.3
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    • pp.106-115
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    • 2007
  • The size and length of road tunnels have been gradually expanded as industry developed. Consequently, the risk has been increased. The decision making process for ventilation system for road tunnels involves a large amount of information on economic feasibility, construction methods, and safety etc. In situation where systematically structured decision making process is unavailable, almost decisions about ventilation systems are made based on engineers' private knowledge and experiences. Procedure and criteria to choose the best optimized ventilation system among many alternatives are proposed, breaking away from the economic dependency-oriented decision making. This paper presents a Multi-Attribute Utility Theory and AHP based function with which planners can calculate overall utility of each alternative. It is anticipated that the effective use of the proposed methodology for decision making on ventilation systems ould be able to reduce the likelihood of the occurrence of potential safety risks as well as increase the overall ventilation performance.

Seismic induced damageability evaluation of steel buildings: a Fuzzy-TOPSIS method

  • Shahriar, Anjuman;Modirzadeh, Mehdi;Sadiq, Rehan;Tesfamariam, Solomon
    • Earthquakes and Structures
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    • v.3 no.5
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    • pp.695-717
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    • 2012
  • Seismic resiliency of new buildings has improved over the years due to better seismic codes and design practices. However, there is still large number of vulnerable and seismically deficient buildings. It is not economically feasible to retrofit and upgrade all vulnerable buildings, thus there is a need for rapid screening tool. Many factors contribute to the damageability of buildings; this makes seismic evaluation a complex multi-criteria decision making problem. Many of these factors are noncommensurable and involve subjectivity in evaluation that highlights the use of fuzzy-based method. In this paper, a risk-based framework earlier proposed by Tesfamariam and Saatcioglu (2008a) is extended using Fuzzy-TOPSIS method and applied to develop an evaluation and ranking scheme for steel buildings. The ranking is based on damageability that can help decision makers interpret the results and take appropriate decision actions. Finally, the application of conceptual model is demonstrated through a case study of 1994 Northridge earthquake data on seismic damage of steel buildings.

To collect the data of deduction of distance Estimating Position of Mobiles by Multi-Criteria Decision Making System (공간 추정 데이터를 수집하여 공간적 의사결정지원시스템을 이용, 이동물체의 위치를 파악하는 시스템 연구)

  • Jang Hae-Suk;Jung Kyu-Cheol;Lee Jin-Kwan;Wi Seon-Jung;Choi Young-Hee;Park Ki-Hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.947-949
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    • 2006
  • In the microcell or picocell-based system the frequent movements of mobiles bring about excessive traffics into the networks. In this paper we study multi-criteria decision making which can increase estimation accuracy by considering other multiple decision parameters than the received signal strength.

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