SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement

Edwards, Ward; Barron, F. Hutton

doi:10.1006/obhd.1994.1087

Cited by 846 publications

(551 citation statements)

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“…The relative importances of the other attributes are evaluated by giving them points from 10 upwards. Edwards and Barron (1994) listed shortcomings in this original procedure. They stressed that the importance of attributes should clearly be related to the attribute ranges.…”

Section: Attribute Weightingmentioning

confidence: 99%

On the convergence of multiattribute weighting methods

Pöyhönen¹,

Hämäläinen²

2001

European Journal of Operational Research

244

106

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Five multiattribute weighting methods were compared in an Internet experiment. This is the first experiment where the subjects created the alternatives and attributes themselves. Each subject used five methods to assess attribute weights, one version of the Analytic Hierarchy Process (AHP), DIRECT weighting, Simple Multiattribute Rating Technique (SMART), SWING weighting and TRADEOFF weighting. They can all be used following the principles of multiattribute value theory. Furthermore, each of them asks decision makers to give numerical estimates of weight ratios although the elicitation questions are different. In earlier studies, however, these methods have yielded different weights. Our results suggest that weights are different because the methods explicitly or implicitly lead the decision makers to choose their responses from a limited set of numbers. The other consequences are that the spread of weights and the inconsistency between the preference statements depend on the number of attributes that a decision maker considers simultaneously.

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Section: Attribute Weightingmentioning

confidence: 99%

On the convergence of multiattribute weighting methods

Pöyhönen¹,

Hämäläinen²

2001

European Journal of Operational Research

244

106

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“…The SMARTS method, developed by Edwards & Barron (1994), is a method of multi-attribute utility measurement, which presents a procedure for eliciting weights, known as Swing Weights. The advantage of this procedure is the simplicity of both the responses required from the DM as well as the analysis that is made of these responses.…”

Section: Smarts Methodsmentioning

confidence: 99%

A model for evaluating efficiency - an application in information technology and systems investments

Gusmão

Costa

2012

Pesqui. Oper.

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ABSTRACT.Despite being widely applied in real problems that tackle evaluating efficiency, Data Envelopment Analysis (DEA) models are frequently criticized on account of the weights of evaluation criteria often being defined loosely. Thus, approaches to incorporating value judgments in DEA models have been used in order to obtain more consistent results with managerial reality. It is against this background that this paper proposes a DEA model for evaluating efficiency, where the value judgments of those responsible for evaluation, regarding the criteria, are defined based on the philosophy of the SMARTS method and incorporated into the model by the Assurance Region (AR) method. The model proposed is applied using information about the investments made in the area of Information Technology and Information Systems by Brazilian banks The aim is to exemplify the application of the model and raise points for discussion with regard to its merits.

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“…To aggregate the product factors to a single value for the design aspect assessment, we suggest forming relevance rankings based on available data or expert opinion. We use the Rank-Order Centroid method [32] to calculate the weights automatically from the relevance ranking according to the Swing approach [33]. This function returns a value between 0 and 10 that needs to be read differently compared with the previous evaluation results.…”

Section: Deficient Encapsulation @Class;1mentioning

confidence: 99%

Measuring, Assessing and Improving Software Quality based on Object-Oriented Design Principles

Plösch

Bräuer

Körner

et al. 2016

Open Computer Science

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Good object-oriented design is crucial for a successful software product. Metric-based approaches and the identification of design smells are established concepts for identifying design flaws and deriving design improvements thereof. Nevertheless, metrics are difficult to use for improvements as they provide only weak guidance and are difficult to interpret. Thus, this paper proposes a novel design quality model (DQM) based on fundamental object-oriented design principles and best practices. In course of discussing DQM, the paper provides a contribution in three directions: (1) it shows how to measure design principles automatically, (2) then the measuring result is used to assess the degree of fulfilling object-oriented design principles, (3) and finally design improvements of identified design flaws in object-oriented software are derived. Additionally, the paper provides an overview of the research area by explaining terms used to describe designrelated aspects and by depicting the result of a survey on the importance of object-oriented design principles. The underlying concepts of the DQM are explained before it is applied on two open-source projects in the format of a case study. The qualitative discussion of its application shows the advantages of the automated design assessment that can be used for guiding design improvements.

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SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement

Cited by 846 publications

References 0 publications

On the convergence of multiattribute weighting methods

On the convergence of multiattribute weighting methods

A model for evaluating efficiency - an application in information technology and systems investments

Measuring, Assessing and Improving Software Quality based on Object-Oriented Design Principles

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