Neutrosophic Hypersoft Matrix Theory: Its Definition, Operators, and Application in Decision-Making of Personnel Selection Problem
Muhammad Saqlain (),
Muhammad Saeed (),
Rana Muhammad Zulqarnain () and
Sana Moin ()
Additional contact information
Muhammad Saqlain: Lahore Garrison University, DHA Phase-VI, Sector C
Muhammad Saeed: School of Mathematics, University of Management and Technology
Rana Muhammad Zulqarnain: Northwest University Xi’an
Sana Moin: Lahore Garrison University, DHA Phase-VI, Sector C
A chapter in Neutrosophic Operational Research, 2021, pp 449-470 from Springer
Abstract:
Abstract In the previous paper, the concept of TOPSIS for neutrosophic hypersoft sets was proposed to solve the decision-making problem, and it was used for finding best alternative routes (Saqlain et al.) However, the aggregate operators of the proposed algorithm have not been presented yet. To handle indeterminacy, vagueness, and hesitation, neutrosophic hypersoft set can be used. In this paper, we have firstly defined neutrosophic hypersoft matrix (NHSM) and their operators, i.e., sum, difference, product, AND, OR, NOT, and types of matrices; secondly, based on some of these NHSM operators, an algorithm is proposed, namely (NHSM algorithm), to solve multi-attributive multi-criteria decision problems (MAMCDP); and lastly results are compared with the algorithm proposed by Saqlain et al. It is concluded that a new proposed algorithm is efficient and simple for optimal choice selection to solve MAMCDP. In future, proposed operators and algorithm can be used to solve complex problems of decision-making in which multiple attribute and alternative-based selection is made involving multiple decision makers.
Keywords: MCDM; Hypersoft sets; Neutrosophic hypersoft sets NHSS; MAMCDP (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-57197-9_21
Ordering information: This item can be ordered from
http://www.springer.com/9783030571979
DOI: 10.1007/978-3-030-57197-9_21
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().