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: Singh, Akankshaa; * | Kumar, Amita; 1 | Appadoo, S.S.b
Affiliations: [a] School of Mathematics, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala, Punjab, India | [b] Department of Supply Chain Management, University of Manitoba, 630 Drake Centre - 181 Freedman Crescent, Winnipeg, Manitoba, Canada
Correspondence: [*] Corresponding author. Akanksha Singh, School of Mathematics, Thapar Institute of Engineering and Technology (Deemed to be University), P.O Box 32, Patiala, Pin -147004, Punjab, India. E-mail: asingh3_phd16@thapar.edu.
Abstract: Kumar and Garg (Applied Intelligence, 2017, 10.1007/s10489-017-1067-0) pointed out the limitations of some existing methods for solving intuitionistic fuzzy multi-attribute decision-making (MADM) problems. Also, to overcome the limitations, Kumar and Garg proposed a connection number (CN) based method for solving intuitionistic fuzzy MADM problems. In this paper, it is shown that the ranking method, used in Step 5 of Kumar and Garg’s method for comparing connection numbers (CNs), fails to compare two distinct CNs. Hence, Kumar and Garg’s method fails to rank the alternatives of intuitionistic fuzzy MADM problems. Furthermore, to overcome the limitation of Kumar and Garg’s method, a new ranking method (named as Mehar ranking method) is proposed for comparing CNs.
Keywords: Set pair analysis, connection number (CN), intuitionistic fuzzy set, decision-making problems
DOI: 10.3233/JIFS-181040
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 5523-5528, 2018
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
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
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl