• 제목/요약/키워드: simple additive weighting

검색결과 13건 처리시간 0.043초

Multi-criteria Vertical Handoff Decision Algorithm Using Hierarchy Modeling and Additive Weighting in an Integrated WLAN/WiMAX/UMTS Environment- A Case Study

  • Bhosale, Sahana;Daruwala, Rohin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권1호
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    • pp.35-57
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    • 2014
  • Multi-criteria decision making (MCDM) algorithms play an important role in ensuring quality of service in an integrated HetNets (Heterogeneous Networks). The primary objective of this paper is to develop a multi-criteria vertical handoff decision algorithm (VHDA) for best access network selection in an integrated Wireless Local Area Network (WLAN)/Universal Mobile Telecommunications System (UMTS)/Worldwide Interoperability for Microwave Access (WiMAX) system. The proposed design consists of two parts, the first part is the evaluation of an Analytic Hierarchy Process (AHP) to decide the relative weights of handoff decision criteria and the second part computes the final score of the weights to rank network alternatives using Simple Additive Weighting (SAW). SAW ranks the network alternatives in a faster and simpler manner than AHP. The AHP-SAW mathematical model has been designed, evaluated and simulated for streaming video type of traffic. For other traffic type, such as conversational, background and interactive, only simulation results have been discussed and presented in brief. Simulation results reveal that the hierarchical modelling and computing provides optimum solution for access network selection in an integrated environment as obtained results prove to be an acceptable solution to what could be expected in real life scenarios.

Acoustic Signal based Optimal Route Selection Problem: Performance Comparison of Multi-Attribute Decision Making methods

  • Borkar, Prashant;Sarode, M.V.;Malik, L. G.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권2호
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    • pp.647-669
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    • 2016
  • Multiple attribute for decision making including user preference will increase the complexity of route selection process. Various approaches have been proposed to solve the optimal route selection problem. In this paper, multi attribute decision making (MADM) algorithms such as Simple Additive Weighting (SAW), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP) method and Total Order Preference by Similarity to the Ideal Solution (TOPSIS) methods have been proposed for acoustic signature based optimal route selection to facilitate user with better quality of service. The traffic density state conditions (very low, low, below medium, medium, above medium, high and very high) on the road segment is the occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) is considered as one of the attribute in decision making process. The short-term spectral envelope features of the cumulative acoustic signals are extracted using Mel-Frequency Cepstral Coefficients (MFCC) and Adaptive Neuro-Fuzzy Classifier (ANFC) is used to model seven traffic density states. Simple point method and AHP has been used for calculation of weights of decision parameters. Numerical results show that WPM, AHP and TOPSIS provide similar performance.

A Simple Method for Frequency Domain Identification

  • Choe, Yeon-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.129-134
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    • 1998
  • In this paper, a simple method is presented to synthesize a transfer function from experimentally obtained gain and phase data. The method we offer here is based on the previous method given by M.Hassul etc. [1], where they proposed relevant formulas in a straightforward manner so that undergraduate students could follow the development more easily. This method, however, inevitably is accompanied by a significant difference between the real and identified model especially in the low frequency region. We solve this problem by introducing a new weighting function that can be determined by using the additive uncertainty of the Identified transfer function.

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MCDM에 의한 환경오염 기여도 순위평가 및 적용 (Prioritization of Environmental Contribution by Region through MCDM)

  • 김종달
    • 자원ㆍ환경경제연구
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    • 제13권2호
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    • pp.245-269
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    • 2004
  • 환경보전 활동을 위한 노력도 교부금과 같은 예산의 지역간 배분에 있어 감안이 되어야 하는데 그렇지 못하고 있다. 개발활동만 기준하여 지원되고 있다. 본 연구의 주된 목적은 환경변수를 예산 배분정책에 반영할 수 있는 방법을 개발하고 이를 실제로 적용하는데 있다. 본 연구는 각 지역별 환경에 미치는 다양한 변수들을 고려하여, 지역간 환경 기여도의 평가방법론을 개발하고 검증하였다. 최대최소법, 최대최대법, 단순가중치법, 계층가중치법과 같은 네 가지 방법론을 적용하여, 대구시의 환경 기여도를 평가해 본 결과, 극단적 상황이 예상되지 않는 조건 하에서 단순가중치법과 계층가중치법을 우선해서 대구시 환경 기여도를 분석할 수 있었다. 이른 기준을 감안한 예산배분은 개발에 치중된 재정지원에서 환경적으로 건전한 지역개발을 유도하는데 기여할 것으로 기대한다.

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다기준의사결정법(多基準意思決定法)에 의한 임도개설순위(林道開設順位)의 결정(決定) (Determination of Forest Road Construction Priority Order Using Multiple Criteria Decision Making Methods)

  • 차두송;조구현;김종윤
    • 한국산림과학회지
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    • 제85권2호
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    • pp.149-157
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    • 1996
  • 본 연구는 22개 지역에 대하여 임목수확 및 무육작업을 위한 임도개설순위를 결정하기 위하여, 다기준의사결정법중에 선호보정이 없는 모형인 최대최소법 및 최대최대법, 선호보정이 있는 모형인 단순가중치법, 계층가중치법 및 TOPSIS법의 적용성을 검토하였다. 그 결과 단순가중치법과 TOPSIS법이 임도개설순위의 결정에 적합한 것으로 판명되었다.

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A study on the evaluation of and demand forecasting for real estate using simple additive weighting model: The case of clothing stores for babies and children in the Bundang area

  • Ryu, Tae-Chang;Lee, Sun-Young
    • 유통과학연구
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    • 제10권11호
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    • pp.31-37
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    • 2012
  • Purpose - This study was conducted under the assumption that brand A, a store of company Z of Pangyo, with a new store at Pangyo station is targeting the Bundang-gu area of the newly developed city of Seongnam. Research design, data, methodology - As a result of demand forecasting using geometric series models, an extrapolation of past trends provided the coefficient estimates, without utilizing regression analysis on a constant increase in children's wear, for which the population size and estimated parameter were required. Results - Demand forecasting on the basis of past trends indicates the likelihood that sales of discount stores in the Bundang area, where brand A currently has a presence, would fetch a higher estimated value than that of the average discount store in the country during 2015. If past trends persist, future sales of operational stores are likely to increase. Conclusions - In evaluating location using the simple weighting model, Seohyun Lotte Mart obtained a high rating amongst new stores in Pangyo, on the basis of accessibility, demand class, and existing stores. Therefore, when opening a new counter at a relevant store, a positive effect can be predicted.

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생활 및 관광자원으로서의 특성을 고려한 농촌어메니티의 지역별 수준평가 (Evaluation of Regional Rural Amenity Values on Living and Tourism Resource Characteristics)

  • 오윤경;최진용;배승종
    • 농촌계획
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    • 제14권4호
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    • pp.21-32
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    • 2008
  • The rural area has kept traditions and green open spaces highlighted in these days since the life quality elevated. Institute of Rural Resources Development has been conducting nation-wide survey project for rural amenity resources to construct the databases of rural amenity distribution and richness. Using surveyed data from the project, this study was implemented to evaluate rural amenity values based on SAW (Simple Additive Weighting) method considering two aspects including living and tourism amenity. For defining the set of evaluation criteria, the rural amenity resources were classified into almost intact nature resources(natural resources), interaction between nature and man resources(cultural resources) and man-made resources(social resources). The weighting values of the criteria were evaluated from the step wise pair-comparison results by AHP(Analytic Hierarchy Process) method. In the results of weighting values related to living amenity, social resources was the hightest ranked criterion (0.512), followed by cultural resources (0.245) and natural resources (0.243). On the other hand, the results related to tourism amenity was that weighting values of natural resources, cultural resources and social resources were 0.481, 0.340 and 0.179, respectively. The two aspects evaluation methods was applied to the selected 18 areas (Myeon administration level) in Chungcheongbuk Do. The results demonstrated the differences of amenity values for living conditions and tourism conditions and could be used for prioritizing rural amenity planning.

국내 생명보험회사의 재무건전성 평가: ELECTRE II, 단순가중합모형, 군집분석의 비교 (Financial Performance Evaluation of Domestic Life Insurers : A Comparison of ELECTREII, SAW and Cluster Analysis)

  • 민재형;송영민
    • 한국경영과학회지
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    • 제28권4호
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    • pp.39-60
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    • 2003
  • In this study, we evaluate financial performance of 21 domestic life insurers using SAW (simple additive weighting), ELECTREII, cluster analysis respectively, and suggest a hybrid approach of combining cluster analysis and ELECTREII to reclassify the life insurers into more meaningful groups according to their respective financial features. We also perform the sensitivity analysis employing ANOVA and Tukey's test to examine the robustness of ELECTREII, which would be influenced by decision maker's subjective preference parameters. Consequently, it is shown that ELECTREII turns out to be a flexible method providing decision makers with useful ranking Information especially under fuzzy decision making situation with incomparable alternatives, and hence it can serve as a complementary method to overcome the weakness of classical cluster analysis.

신경망을 이용한 무인운반차의 다요소배송규칙 (A Multi-attribute Dispatching Rule Using A Neural Network for An Automated Guided Vehicle)

  • 정병호
    • 한국시뮬레이션학회논문지
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    • 제9권3호
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    • pp.77-89
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    • 2000
  • This paper suggests a multi-attribute dispatching rule for an automated guided vehicle(AGV). The attributes to be considered are the number of queues in outgoing buffers of workstations, distance between an idle AGV and a workstation with a job waiting for the service of vehicle, and the number of queues in input buffers of the destination workstation of a job. The suggested rule is based on the simple additive weighting method using a normalized score for each attribute. A neural network approach is applied to obtain an appropriate weight vector of attributes based on the current status of the manufacturing system. Backpropagation algorithm is used to train the neural network model. The proposed dispatching rules and some single attribute rules are compared and analyzed by simulation technique. A number of simulation runs are executed under different experimental conditions to compare the several performance measures of the suggested rules and some existing single attribute dispatching rules each other.

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