Neutrosophical Plant Hybridization in Decision-Making Problems

M. Arockia Dasan (), E. Bementa (), Florentin Smarandache () and X. Tubax ()
Additional contact information
M. Arockia Dasan: St. Jude’s College
E. Bementa: Arulanandar College
Florentin Smarandache: University of New Mexico
X. Tubax: School of Information Technology, Cyryx College

A chapter in Neutrosophic Operational Research, 2021, pp 1-17 from Springer

Abstract: Abstract Florentin Smarandache (Smarandache, A unifying field of logics. Neutrosophy: neutrosophic probability, set and logic. American Research Press: Rehoboth; 1998) developed the neutrosophic set theory to study inconsistency, incomplete, and uncertainty information by using truth-membership, indeterminacy-membership, and falsity-membership functions. One of the main objectives of this chapter is to develop a new methodological approach of neutrosophic sets in multi-criteria decision-making problems. This method considers neutrosophic sets with their unions in the direct direction, and the complements of given neutrosophic sets with their intersections are also considered in the reverse direction. Using these collections, single-valued neutrosophic score functions are computed in both directions. After this process, all the alternatives are ranked in the ascending order arrangement to find the best alternatives not only in each region but also in the entire region. Another main objective is to solve a numerical example of plant hybridization by using single-valued neutrosophic score functions to demonstrate the effectiveness of the proposed method. This numerical example is the first example of plant hybridization in the neutrosophic environment, which is to find the best hybrid plants with an increased quantity of yield. The uniqueness of this method is the dependence of single-valued neutrosophic score function and independence of any other neutrosophic measures or distance functions, etc.

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_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030571979

DOI: 10.1007/978-3-030-57197-9_1

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 ().