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A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution
The option prioritization is the most effective preference ranking approach within the framework of the graph model for conflict resolution, in which a set of option statements for each decision maker (DM) involved in a dispute is determined by individual judgments. Inevitably, some option statement...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215181/ http://dx.doi.org/10.1007/978-3-030-48641-9_4 |
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author | Zhao, Shinan Xu, Haiyan |
author_facet | Zhao, Shinan Xu, Haiyan |
author_sort | Zhao, Shinan |
collection | PubMed |
description | The option prioritization is the most effective preference ranking approach within the framework of the graph model for conflict resolution, in which a set of option statements for each decision maker (DM) involved in a dispute is determined by individual judgments. Inevitably, some option statements may be unnecessary or redundant. To address the redundancy of option statements, a novel option statement reduction method as well as an effective reduction algorithm is developed in this research based on the rough set theory. Furthermore, the Elmira conflict is utilized to show how the proposed option statement reduction method can be employed for efficiently eliminating redundant option statements of DMs. |
format | Online Article Text |
id | pubmed-7215181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72151812020-05-12 A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution Zhao, Shinan Xu, Haiyan Group Decision and Negotiation: A Multidisciplinary Perspective Article The option prioritization is the most effective preference ranking approach within the framework of the graph model for conflict resolution, in which a set of option statements for each decision maker (DM) involved in a dispute is determined by individual judgments. Inevitably, some option statements may be unnecessary or redundant. To address the redundancy of option statements, a novel option statement reduction method as well as an effective reduction algorithm is developed in this research based on the rough set theory. Furthermore, the Elmira conflict is utilized to show how the proposed option statement reduction method can be employed for efficiently eliminating redundant option statements of DMs. 2020-04-25 /pmc/articles/PMC7215181/ http://dx.doi.org/10.1007/978-3-030-48641-9_4 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Zhao, Shinan Xu, Haiyan A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution |
title | A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution |
title_full | A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution |
title_fullStr | A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution |
title_full_unstemmed | A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution |
title_short | A Novel Method for Eliminating Redundant Option Statements in the Graph Model for Conflict Resolution |
title_sort | novel method for eliminating redundant option statements in the graph model for conflict resolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215181/ http://dx.doi.org/10.1007/978-3-030-48641-9_4 |
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