A note on using centroid weights in additive multi-criteria decision analysis

Kunsch, Pierre Louis; Ishizaka, Alessio

doi:10.1016/j.ejor.2019.02.021

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…other research that examines the selection of the best lecturers namely (Suranti, 2021)who explained that the use of the SMART method is because this method is a multi-criteria decision-making technique where each alternative consists of a number of criteria that have values and weights that describe how important they are compared to other criteria. While research that applies attribute modification and criteria priority techniques with the ROC method is carried out in research (Ahn, 2017;Sudipa et al, 2022)which explains the use of criteria weighting techniques with ROC can help decision makers with uncertain conditions in determining the priority weights of incomplete criteria or attributes that affect the final ranking process (Kunsch & Ishizaka, 2019;Sucahyo & Nurlaela, 2021;Sudipa & Puspitayani, 2019). The ease in determining the weight of criteria with the ROC method was later developed in various studies and was intended to complement other methods (Hatefi, 2023;I Gede Iwan Sudipa, 2018;Zega et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

“…ROC is an extension of the SMARTS (Simple Multi Attribute Rating Technique Using Swings) method to https://doi.org/10.47709/cnahpc.v5i1.2143 Submitted : February 15, 2023 Accepted : February 16, 2023 Published : February 17, 2023 SMARTER, by adding ROC calculations to determine elicitation weights for criteria (Danielson & Ekenberg, 2017), which was originally the SMARTS method still using swing weighting by decision makers with a scale of 0 to 100 or 0 to 1 (Barron & Barrett, 1996) (Kunsch & Ishizaka, 2019;.…”

Section: Rank Order Centroidsmentioning

confidence: 99%

“…So in this study proposes a model for evaluating the performance of exemplary lecturers by applying decision making with modification of the attribute criteria and criteria priority techniques using the Rank Order Centroid (ROC) method. The reason for using the ROC method is due to the surrogate weighting technique or replacement weight technique (Sudipa & Aryati, 2019;Sureeyatanapas, 2016), where the decision maker only determines the priority order of each criterion so that the ROC technique can generate criteria weights automatically from the calculation results (Kunsch & Ishizaka, 2019)Of course, this technique can make it easier for the lecturer performance appraisal team to make decisions objectively.The decision assessment model can produce the final score for ranking the best alternative seen from the largest value of the ranking, at the end of the process the best alternative will be selected based on the decision assessment model for determining exemplary lecturers with case studies at XYZ institutions.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Exemplary Lecturer Decision Making with Modified Attributes and Criteria Prioritization Technique

Usanto

Nurlaela

Syahrial

2023

CNAHPC

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The problem of determining exemplary lecturers is included in the multi-criteria decision making problem because the assessment can be based on predetermined assessment criteria. Consequently, determining exemplary lecturers is an important aspect of improving the quality of education in an institution. In order for the final outcomes of exemplary lecturers to be objective and to examine various values for each criterion and criterion characteristic, decision-making processes are obviously required. Consequently, the goal of this study is to provide a model for evaluating the performance of exemplary lecturers by employing decision making with changed criterion characteristics and criteria prioritization strategies based on the Rank Order Centroid (ROC) method. At the end of the procedure, the best alternative will be chosen based on the choice assessment model for identifying excellent lecturers with a case study at institution XYZ. Analysis of the final results revealed that the decision assessment model was influenced by modifying the assessment attributes using a Likert scale. The final results revealed that one of three alternative candidates for exemplary lecturer was selected based on alternative values for each criterion.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Rank Order Centroidsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determination of Exemplary Lecturer Decision Making with Modified Attributes and Criteria Prioritization Technique

Usanto

Nurlaela

Syahrial

2023

CNAHPC

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“…Building upon the existing weight approximation approaches (Kárný 2013;Salo and Hamalainen 2001;Barron and Barret 1996), we designed a rank-based tool to allow experts to communicate their cardinal and ordinal preference related to the relative importance of four compensatory evaluation factors. The reason that we customized a weight approximation approach instead of pure ordinal methods was first to avoid extreme weights that significantly marginalize the weight of lower factors (Belton and Stewart 2012), second to prevent equalizing impact on upper factors (Kunsch and Ishizaka 2019), and third to utilize the available cardinal information that ordinal methods often do not take into account (Danielson and Ekenberg 2016).…”

Section: Preference Elicitationmentioning

confidence: 99%

A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems

Zamanifar

Hartmann

2021

Environ Syst Decis

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This paper proposes a framework to systematically evaluate and select attributes of decision models used in disaster risk management. In doing so, we formalized the attribute selection process as a sequential screening-utility problem by formulating a prescriptive decision model. The aim is to assist decision-makers in producing a ranked list of attributes and selecting a set among them. We developed an evaluation process consisting of ten criteria in three sequential stages. We used a combination of three decision rules for the evaluation process, alongside mathematically integrated compensatory and non-compensatory techniques as the aggregation methods. We implemented the framework in the context of disaster resilient transportation network to investigate its performance and outcomes. Results show that the framework acted as an inclusive systematic decision aiding mechanism and promoted creative and collaborative decision-making. Preliminary investigations suggest the successful application of the framework in evaluating and selecting a tenable set of attributes. Further analyses are required to discuss the performance of the produced attributes. The properties of the resulting attributes and feedback of the users suggest the quality of outcomes compared to the retrospective attributes that were selected in an unaided selection process. Research and practice can use the framework to conduct a systematic problem-structuring phase of decision analysis and select an equitable set of decision attributes.

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“…[19]. C1 ≥ C2 ≥ C3 ≥ ... ≥ Cn Untuk menghitung nilai bobot, ditentukan dengan aturan yaitu : *Sistem Penentuan Keputusan Kelayakan Penerima Kredit Menggunakan Metode ROC dan SAW (Bagus Kusuma Wijaya)…”

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Sistem Penentuan Keputusan Kelayakan Penerima Kredit Menggunakan Metode Roc - Saw

Wijaya

Sudipa

Rachmat

et al. 2022

JUISIK

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The Bali Mandiri Cooperative is a cooperative that operates in the savings and loan sector. Data processing of savings and loan activities submitted in credit applications is still done manually so that the credit department must make the right decisions, especially if there are doubts in determining decisions for prospective borrowers, where the doubts are because the criteria for prospective borrowers are almost the same, this is having an impact on the company if the wrong decision occurs in the event of bad credit. The decision support system using Rank Order Centroid (ROC) calculations and the Simple Additive Weighting (SAW) method compares manual and system calculations that show the same results. This system includes data management which provides for managing data criteria, attribute value data, and submitting data (credit applicant data, data selection period, data submission, and decision support system process). This data will produce a credit applicant report and a credit applicant selection report.

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A note on using centroid weights in additive multi-criteria decision analysis

Cited by 10 publications

References 19 publications

Determination of Exemplary Lecturer Decision Making with Modified Attributes and Criteria Prioritization Technique

Determination of Exemplary Lecturer Decision Making with Modified Attributes and Criteria Prioritization Technique

A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems

Sistem Penentuan Keputusan Kelayakan Penerima Kredit Menggunakan Metode Roc - Saw

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