Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Labor-management negotiation conflict analysis based on soft preference relation

Full metadata record
DC Field Value Language
dc.contributor.authorKhan, Muhammad Uzair-
dc.contributor.authorAli, Abbas-
dc.contributor.authorRehman, Noor-
dc.contributor.authorAbdullah, Saleem-
dc.contributor.authorCagman, Naim-
dc.contributor.authorShin, Yun-
dc.contributor.authorPark, Choonkil-
dc.date.accessioned2022-07-07T22:14:10Z-
dc.date.available2022-07-07T22:14:10Z-
dc.date.created2021-05-12-
dc.date.issued2020-07-
dc.identifier.issn1064-1246-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/145409-
dc.description.abstractConflict analysis plays a prominent role in negotiation during contract-management process in government and industry. The main problem to be solved is how to model conflict situation when there is uncertainty about agreement, disagreement and neutrality among agents in a conflict situation. This paper aims to introduce the novel concepts of the hybridized structures called soft preference relation and soft dominance relation. Further we initiate the approach to handle the labor-management negotiation conflict situation using soft preference and soft dominance relations. Another novelty of the proposed techniques is to classify exactly the agreement, disagreement and neutrality among all the agents in a conflict situation. In addition the proposed techniques can be applied to find the character of all the agents in the conflict situation when compared with other existing techniques.-
dc.language영어-
dc.language.isoen-
dc.publisherIOS PRESS-
dc.titleLabor-management negotiation conflict analysis based on soft preference relation-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Choonkil-
dc.identifier.doi10.3233/JIFS-190425-
dc.identifier.scopusid2-s2.0-85088857007-
dc.identifier.wosid000550226900005-
dc.identifier.bibliographicCitationJOURNAL OF INTELLIGENT & FUZZY SYSTEMS, v.39, no.1, pp.43 - 52-
dc.relation.isPartOfJOURNAL OF INTELLIGENT & FUZZY SYSTEMS-
dc.citation.titleJOURNAL OF INTELLIGENT & FUZZY SYSTEMS-
dc.citation.volume39-
dc.citation.number1-
dc.citation.startPage43-
dc.citation.endPage52-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordPlusGROUP DECISION-MAKING-
dc.subject.keywordPlusSET-THEORY-
dc.subject.keywordAuthorConflict analysis-
dc.subject.keywordAuthorsoft set-
dc.subject.keywordAuthorpreference relation-
dc.subject.keywordAuthorsoft preference relation-
dc.subject.keywordAuthorsoft dominance relation-
dc.identifier.urlhttps://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs190425-
Files in This Item
Go to Link
Appears in
Collections
서울 자연과학대학 > 서울 수학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Choonkil photo

Park, Choonkil
COLLEGE OF NATURAL SCIENCES (DEPARTMENT OF MATHEMATICS)
Read more

Altmetrics

Total Views & Downloads

BROWSE