Decision Quality Using Ranked Attribute Weights

Barron, F. Hutton; Barrett, Bruce E.

doi:10.1287/mnsc.42.11.1515

Cited by 544 publications

(365 citation statements)

References 17 publications

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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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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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“…Second, the assessor may rank weights. Rank order centroid (ROC) weights [75] have been found to give good estimates [76] in which w min = 1/n² and so α = 1/(1+n²).…”

Section: Non-judgemental Analysismentioning

confidence: 99%

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

Jessop¹

2014

Omega

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. (2014) 'IMP : a decision aid for multiattribute evaluation using imprecise weight estimates. ', Omega., Further information on publisher's website:http://dx.doi.org/10.1016/j.omega.2014.05.001Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in Omega. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be re ected in this document. Changes may have been made to this work since it was submitted for publication. A de nitive version was subsequently published in Omega, 49, 2014, 10.1016/j.omega.2014.05.001. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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“…Barron and Barret [4] studied algebraic formulas such as equal weights and the use of ROC (rank order centroid) weights to select a representative weights vector w from a set of admissible weights W, with the purpose of using w to evaluate the alternatives. These authors concluded that ROC weights provide a better approximation than the other weighting vectors they considered.…”

Section: A Reviewmentioning

confidence: 99%

“…Usually this is studied using Monte-Carlo simulations: randomly generating a large number of problems (criteria weights and value of each alternative in each criterion), determining the alternative with the highest multiattribute value, and comparing this alternative with the alternative chosen by the rule being studied, which uses only part of the information. Examples of such comparisons can be found in [4,[40][41][42]. However, these references consider that only the weights are unknown, and it is important to extend this idea to situations where the values of the alternatives in each criterion are also unknown.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the decision maker can indicate that one alternative has higher value than another alternative in one criterion, without quantifying the amount. The decision rules we compare are based on the concept of Rank Order Centroid ( [4,43]), which has been found to perform very well when there is ordinal information on the weights and known cardinal information for the alternatives' values [4,42]. The main purpose of our comparisons is then to assess how much the quality of the results degrades when we consider ordinal information on the alternatives' values.…”

Section: Introductionmentioning

confidence: 99%

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Simple procedures of choice in multicriteria problems without precise information about the alternatives’ values

Sarabando

Dias

2010

Computers & Operations Research

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a b s t r a c tThe additive model of multiattribute value theory is widely used in multicriteria choice problems. But often it is not easy to obtain precise values for the scaling weights or the alternatives' value in each function. Several decision rules which require weaker information, such as ordinal information, have been proposed to select an alternative under these circumstances. We propose new decision rules and test them using Monte-Carlo simulation, considering that there is ordinal information both on the scaling weights and on the alternatives' values. Results show the new rules constitute a good approximation. We provide guidelines about how to use these rules in a context of selecting a subset of the most promising alternatives, considering the contradictory objectives of keeping a low number of alternatives yet not excluding the best one.

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Decision Quality Using Ranked Attribute Weights

Cited by 544 publications

References 17 publications

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

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

IMP: A decision aid for multiattribute evaluation using imprecise weight estimates

Simple procedures of choice in multicriteria problems without precise information about the alternatives’ values

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