Soft dominance based multigranulation decision theoretic rough sets and their applications in conflict problems.

Rehman, Noor and Ali, Abbas and Hila, Kostaq (2020) Soft dominance based multigranulation decision theoretic rough sets and their applications in conflict problems. Artificial Intelligence Review. ISSN 1573-7462(E), 0269-2821(P)

Text (pdf) 10.1007@s10462-020-09843-4.pdf - Published Version Restricted to Repository staff only Available under License Creative Commons Attribution. Download (4MB) | Request a copy

Abstract

The extension of rough set model is a crucial and vast research direction in rough set theory.
Meanwhile decision making can be considered as a mental process in which human
beings make a choice among several alternatives. However, with the increasing complexity
of real decision making problems, the decision makers frequently face the challenge
of characterizing their preferences in an uncertain context. In the present paper, we initiate
a multi attribute group decision making problem in the presence of multi attribute
and multi decision in decision making with preferences. We further present the concept of
soft preference relation and soft dominance relation corresponding to decision attribute in
the multi criteria and multi decision information system. Further we put forward the idea
of two types of optimistic/pessimistic multigranulation (soft dominance based optimistic/
pessimistic multigranulation decision theoretic) approximations and their applications in
solving a multi agent conflict analysis decision problem. The proposed method addresses
the limitations of the Pawlak model and Sun’s conflict analysis model and thus improve
these models. Finally, the results on labor management negotiation problems show that the
proposed algorithms are more effective and efficient for feasible consensus strategy when
compared with other techniques.

Item Type:	Article
Additional Information:	No
Uncontrolled Keywords:	Rough set · Soft set · Preference relation · Decision theoretic · Soft preference relation
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Engineering and Applied Sciences (FEAS) > Department of Basic Sciences Islamabad
Depositing User:	Mr Abbas Ali
Date Deposited:	26 Oct 2020 15:47
Last Modified:	26 Oct 2020 15:47
URI:	http://research.riphah.edu.pk/id/eprint/975

Actions (login required)

View Item