An FMEA model for risk assessment of university sustainability: using a combined ITARA with TOPSIS-AL approach based neutrosophic sets

SW Lin, HW Lo - Annals of Operations Research, 2024 - Springer
It is necessary to emphasize both the process and results of performance management to
find the balance between quality and quantity needed to ensure the sustainable …

A multi-objective model for optimizing the socio-economic performance of a pharmaceutical supply chain

F Ahmad, KA Alnowibet, AF Alrasheedi… - Socio-economic planning …, 2022 - Elsevier
Potential production policies and distribution strategies for pharmaceutical products have
attracted significant attention to sustainable development. End-of-life products have a severe …

[HTML][HTML] A new method for solving the linear programming problem in an interval-valued intuitionistic fuzzy environment

E Fathy - Alexandria Engineering Journal, 2022 - Elsevier
In the last few decades, uncertainty linear programming (ULP) has received important
attention among researchers and industrials. In this paper the ULP problem in which all …

A compromise solution for the neutrosophic multi-objective linear programming problem and its application in transportation problem

E Hosseinzadeh, J Tayyebi - Journal of applied research on …, 2023 - journal-aprie.com
Neutrosophic set theory plays an important role in dealing with the impreciseness and
inconsistency in data encountered in solving real-life problems. The current paper focuses …

Algorithms and software packages for solving transportation problems with intuitionistic fuzzy numbers

PS Kumar - Operational research for renewable energy and …, 2024 - igi-global.com
To determine the optimal value and solution for balanced and unbalanced intuitionistic fuzzy
transportation problems (UBIFTPs), two different approaches are proposed in this chapter …

[HTML][HTML] A novel technique for parameter estimation in intuitionistic fuzzy logistic regression model

AAH Ahmadini - Ain Shams Engineering Journal, 2022 - Elsevier
Abstract The Fuzzy Logistic Regression model can estimate the parameters when the data-
set contains ambiguousness due to vagueness and cannot consider the degree of …

[HTML][HTML] An investigation of the most common multi-objective optimization methods with propositions for improvement

M Soltanifar - Decision analytics journal, 2021 - Elsevier
In everyday life, many decisions are made, from personal and individual issues to major
issues. In most decision-making topics, there are generally several goals and factors for …

A fuzzy quantitative model for assessing the performance of pharmaceutical supply chain under uncertainty

F Ahmad, B John - Kybernetes, 2023 - emerald.com
Purpose This study aims to investigate a reliability-level demand-oriented pharmaceutical
supply chain design with maximal anticipated demand coverage. Different hospitals with the …

An efficient generalized fuzzy TOPSIS algorithm for the selection of the hybrid energy resources: A comparative study between single and hybrid energy plant …

G Kaur, A Majumder, R Yadav - RAIRO-Operations Research, 2022 - rairo-ro.org
This paper develops an efficient algorithm for selecting the most suitable and appropriate
hybridized energy power plant using “fuzzy multi-criteria decision-making”(MCDM) in …

Solving intuitionistic fuzzy multi-objective linear programming problem and its application in supply chain management

H Hassanpour, E Hosseinzadeh, M Moodi - Applications of Mathematics, 2023 - Springer
The aim of this paper is solving an intuitionistic fuzzy multi-objective linear programming
problem containing intuitionistic fuzzy parameters, intuitionistic fuzzy maximization …