Multi-Criteria Evaluation Methods

2000 ◽  
pp. 19-43
Author(s):  
Martin Rogers ◽  
Michael Bruen ◽  
Lucien-Yves Maystre
Keyword(s):  
Evaluation Methods ◽  
Multi Criteria Evaluation

Participatory, Multi-Criteria Evaluation Methods as a Means to Increase the Legitimacy and Sustainability of Land Use Planning Processes. The Case of the Chaco Region in Salta, Argentina

2016 ◽  
Vol 59 (2) ◽  
pp. 307-324 ◽  
Author(s):  
Lucas Seghezzo ◽  
Cristian Venencia ◽  
E. Catalina Buliubasich ◽  
Martín A. Iribarnegaray ◽  
José N. Volante
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Evaluation Methods ◽  
Multi Criteria Evaluation ◽  
Chaco Region ◽  
Planning Processes

A Comparison of Multi-Criteria Evaluation Methods for RSFQ Circuit Optimization

2011 ◽  
Vol 21 (3) ◽  
pp. 801-804 ◽  
Author(s):  
Frank G. Ortmann ◽  
Adri van der Merwe ◽  
H. Retief Gerber ◽  
Coenrad J. Fourie
Keyword(s):  
Evaluation Methods ◽  
Circuit Optimization ◽  
Multi Criteria Evaluation

scholarly journals Multi-criteria evaluation methods in the production scheduling

2016 ◽  
Vol 145 ◽  
pp. 022019 ◽  
Author(s):  
K Kalinowski ◽  
D Krenczyk ◽  
I Paprocka ◽  
W Kempa ◽  
C Grabowik
Keyword(s):  
Production Scheduling ◽  
Evaluation Methods ◽  
Multi Criteria Evaluation

scholarly journals ALGORITHM FOR CHOOSING TRACTION ROLLING-STOCK FOR RAILWAY LINE RAIL BALTICA / PREKINIŲ ŠILUMVEŽIŲ MAGISTRALEI „RAIL BALTICA“ PARINKIMO ALGORITMAS

2012 ◽  
Vol 4 (4) ◽  
pp. 386-390 ◽  
Author(s):  
Stasys Steišūnas ◽  
Gintautas Bureika
Keyword(s):  
Geometric Mean ◽  
Freight Transportation ◽  
Weight Coefficient ◽  
Evaluation Methods ◽  
Rolling Stock ◽  
Technical Data ◽  
Railway Line ◽  
Multi Criteria Evaluation ◽  
Ecological Aspects ◽  
Simple Additive Weighting

The article analyses traction rolling-stock for freight transportation presently used by AB Lietuvos geležinkeliai. The paper explores and compares technical data on the above mentioned rolling-stock and estimates exploitation expenses. Following an assessment of forecasting freight flows on the future railway line Rail Baltica, an algorithm for selecting traction rolling-stock is proposed. The efficiency of locomotives operating on the railway is determined taking into account three multi-criteria evaluation methods: the sum of ratings, simple additive weighting and geometric mean method. Locomotives are estimated in accordance with technical, economic and ecological aspects. The results of possible performance efficiency of rolling stock have been determined changing weight coefficient values of the criteria. Santrauka Straipsnyje nagrinėjami šiuo metu AB ,,Lietuvos geležinkeliai“ kroviniams vežti naudojami traukos riedmenys: analizuojami ir lyginami techniniai duomenys, vertinamos eksploatavimo sąnaudos. Įvertinus krovinių srautų prognozes tiesiamoje ,,Rail Baltica“ geležinkelio magistralėje, pasiūlytas traukos riedmenų kroviniams vežti parinkimo algoritmas. Šilumvežių šioje magistralėje naudojimo efektyvumas nustatomas trimis daugiakriterio įvertinimo metodais: vietų sumos metodu, rodiklių įverčio metodu ir geometrinio vidurkio metodu. Šilumvežiai vertinami techniniais, ekonominiais ir ekologiniais aspektais. Keičiant kriterijų svarbos koeficientų reikšmes, nustatyti skirtingi riedmenų panaudojimo efektyvumo rezultatai.

scholarly journals Smart Urban Mobility System Evaluation Model Adaptation to Vilnius, Montreal and Weimar Cities

2022 ◽  
Vol 14 (2) ◽  
pp. 715
Author(s):  
Simona Zapolskytė ◽  
Martin Trépanier ◽  
Marija Burinskienė ◽  
Oksana Survilė
Keyword(s):  
Smart City ◽  
Evaluation Model ◽  
Evaluation Methods ◽  
Urban Mobility ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Mobility System ◽  
Smart Mobility ◽  
Simple Additive Weighting ◽  
Hierarchical Evaluation

To date, there is no developed and validated way to assess urban smartness. When evaluating smart city mobility systems, different authors distinguish different indicators. After analysing the evaluation indicators of the transport system presented in the scientific articles, the most relevant and influential indicators were selected. This article develops a hierarchical evaluation model for evaluating a smart city transportation system. The indicators are divided into five groups called “factors”. Several indicators are assigned to each of the listed groups. A hybrid multi-criteria decision-making (MCDM) method was used to calculate the significance of the selected indicators and to compare urban mobility systems. The applied multi-criteria evaluation methods were simple additive weighting (SAW), complex proportional assessment (COPRAS), and technique for order preference by similiarity to ideal solution (TOPSIS). The significance of factors and indicators was determined by expert evaluation methods: the analytic hierarchy process (AHP), direct, when experts evaluate the criteria as a percentage (sum of evaluations of all criteria 100%) and ranking (prioritisation). The evaluation and comparison of mobility systems were performed in two stages: when the multi-criteria evaluation is performed according to the indicators of each factor separately and when performing a comprehensive assessment of the smart mobility system according to the integrated significance of the indicators. A leading city is identified and ranked according to the smartness level. The aim of this article is to create a hierarchical evaluation model of the smart mobility systems, to compare the smartness level of Vilnius, Montreal, and Weimar mobility systems, and to create a ranking.

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

Study of Reactance Evaluation Methods in Saturated Magnetic Field for Permanent Magnet Synchronous Motor

2006 ◽  
Vol 126 (12) ◽  
pp. 1722-1729 ◽  
Author(s):  
Akeshi Takahashi ◽  
Haruo Koharagi ◽  
Satoshi Kikuchi ◽  
Kazumasa Ide ◽  
Kazuo Shima
Keyword(s):  
Magnetic Field ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Evaluation Methods

Dysphagia Evaluation Methods

2018 ◽  
Vol 69 (2) ◽  
pp. 162-163
Author(s):  
M. Kitano
Keyword(s):  
Evaluation Methods
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