A Multi-Level Multi-Objective Integer Quadratic Programming Problem Under Pentagonal Neutrosophic Environment

Autor:	N. M. Bekhit, O. E. Emam, Laila Abd Elhamid
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	pentagonal neutrosophic numbers score and accuracy function multi-level multi-objective programming quadratic programming integer programming branch and bound method fuzzy approach Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Zdroj:	Fuzzy Information and Engineering, Vol 15, Iss 4, Pp 347-361 (2023)
Druh dokumentu:	article
ISSN:	1616-8658 1616-8666
DOI:	10.26599/FIE.2023.9270025
Popis:	The aim of this paper is to propose an algorithm to solve and enhance a multi-level multi-objective integer quadratic programming problem (MLMOIQPP) under a single-valued Pentagonal Neutrosophic environment applied to the objective functions. The suggested solution takes advantage of multi-objective optimization in addition to the fuzzy approach as well as the branch and bound technique, which is implemented at each decision level to develop a generalized maximization-minimization model for obtaining the integer satisfactory solution after applying the score and accuracy function in the first phase of the solution methodology to single-valued Pentagonal Neutrosophic parameters to be converted into an equal crisp form. An illustrative example is demonstrated to validate the proposed solution algorithm.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/343b71677afb4948a4f061a295c9eb54 Zobrazit plný text záznamu View record in DOAJ