Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Ali, Abbasa | Ali, Muhammad Irfanb | Rehman, Noora; *
Affiliations: [a] Department of Mathematics and Statistics, Riphah International University Hajj Complex I-14 Islamabad Pakistan | [b] Islamabad Model College for Girls, F-6/2, Islamabad, Pakistan
Correspondence: [*] Corresponding author. Noor Rehman, Department of Mathematics and Statistics, Riphah International University Hajj Complex I-14 Islamabad, Pakistan. E-mails: [email protected] and [email protected].
Abstract: In the present paper, we initiate a multi attribute group decision making problems in the presence of multi attribute and multi decision in decision making with preferences. Then resolving the problem, using two different approximation strategies, that is, seeking common reserving difference and seeking common rejecting difference, four kinds of dominance based multi-granulation rough sets are presented, namely, dominance based optimistic multi-granulation rough sets and dominance based pessimistic multi-granulation rough sets 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 Sun’s technique.
Keywords: Rough sets, preference relation, multi granulation
DOI: 10.3233/JIFS-18757
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3859-3871, 2018
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]