Open AccessApplying the TOPSIS Approach for Selecting the Best Small Project
Author(s) -
Sawsan Sabeeh Al-Zubaidy,
Esraa Ibrahiem Al-Bayati
Publication year - 2020
Publication title -
mağallaẗ wāsiṭ li-l-ʿulūm al-handasiyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2663-1970
pISSN - 2305-6932
DOI - 10.31185/ejuow.vol7.iss2.126
Subject(s) - topsis , task (project management) , rank (graph theory) , selection (genetic algorithm) , computer science , ideal solution , similarity (geometry) , preference , measure (data warehouse) , presentation (obstetrics) , simple (philosophy) , ideal (ethics) , order (exchange) , operations research , management science , machine learning , artificial intelligence , data mining , mathematics , engineering , systems engineering , statistics , business , philosophy , physics , finance , combinatorics , image (mathematics) , epistemology , radiology , thermodynamics , medicine
Projects selection is a significant problem. However, regularly challenging task. It is difficult because there is typically more than one measurement of the effects on all projects, particularly when there are multiple decision-makers. In this paper, the authors consider a tangible presentation of projects choosing for a different number of projects through an experts opinions by a group decision-making method called TZOPSEIS (Technique for Order Preference by Similarity to an Ideal Solution). This method is characterized by its ability to measure the relative performance for each alternative in a simple mathematical form. Four criteria have been deliberated to select the finest one among five projects and rank them. The proposed manner is used in a case study in the Iraqi environment which is analyzed from diverse directions of vision to evaluate and select the best small project.