How to add apples and oranges: Aggregating performances of different nature
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, W.J. | - |
dc.date.accessioned | 2022-02-23T11:40:43Z | - |
dc.date.available | 2022-02-23T11:40:43Z | - |
dc.date.created | 2022-02-15 | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 0899-8256 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136615 | - |
dc.description.abstract | We study a model where evaluation consists of multiple components of different nature and (cardinal) performances in all components are aggregated into a summary index between 0 and 1. We propose what we call the normalizer-based aggregation rules and characterize them by individual separability, monotonicity, anonymity, and component independence. Each member in this family is distinguished by three parameters: (i) a profile of weights that determines the relative importance of each component; (ii) a profile of “individual normalizers” that converts an agent's performance in each component into a raw score (for that component) in the normalized scale of [0,1]; and (iii) a profile of “group normalizers” that adjusts a raw score for each component relative to all agents' performances. Given these parameters, the overall evaluation, or score, of an agent is obtained as a weighted average of his adjusted scores for all components produced by individual and group normalizers. © 2021 Elsevier Inc. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | Academic Press Inc. | - |
dc.title | How to add apples and oranges: Aggregating performances of different nature | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cho, W.J. | - |
dc.identifier.doi | 10.1016/j.geb.2021.11.005 | - |
dc.identifier.scopusid | 2-s2.0-85120613042 | - |
dc.identifier.wosid | 000752611400006 | - |
dc.identifier.bibliographicCitation | Games and Economic Behavior, v.131, pp.222 - 244 | - |
dc.relation.isPartOf | Games and Economic Behavior | - |
dc.citation.title | Games and Economic Behavior | - |
dc.citation.volume | 131 | - |
dc.citation.startPage | 222 | - |
dc.citation.endPage | 244 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalWebOfScienceCategory | Economics | - |
dc.subject.keywordAuthor | Anonymity | - |
dc.subject.keywordAuthor | Component independence | - |
dc.subject.keywordAuthor | Individual separability | - |
dc.subject.keywordAuthor | Monotonicity | - |
dc.subject.keywordAuthor | Normalizer-based rules | - |
dc.subject.keywordAuthor | Performance aggregation | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.