Affiliations: [a] Department of Mathematics & Statistics, Bacha Khan University Charsadda, Khyber Pakhtunkhwa, Pakistan
| [b] Department of Mathematics & Statistics, Riphah International University, Hajj Complex I-14 Islamabad, Pakistan
| [c] Department of Mathematics, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan
| [d] Department of Mathematics, Faculty of Science, University of Gaziosmanpasa, Tokat, Turkey
| [e] Department of Mathematics, University of Seoul, Seoul, Republic of Korea
| [f] Research Institute of Natural Sciences, Hanyang University, Seoul, Republic of Korea
Correspondence:
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Corresponding authors. Dong Yun Shin, Department of Mathematics, University of Seoul, Seoul 02504, Republic of Korea. E-mail: [email protected]; Choonkil Park, Research Institute of Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea. E-mail: [email protected].
Abstract: Conflict 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.
